Integrate InfluxDB across your stack

Kafka and InfluxDB

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Kinesis and InfluxDB

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

HTTP and InfluxDB

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

SNMP and InfluxDB

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Modbus and InfluxDB

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

OPC UA and InfluxDB

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

MQTT and InfluxDB

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

gNMI and InfluxDB

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Fluentd and InfluxDB

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

OpenTelemetry and InfluxDB

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

AMQP and InfluxDB

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Amazon CloudWatch and InfluxDB

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Zipkin and InfluxDB

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

NATS and InfluxDB

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Kubernetes and InfluxDB

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

StatsD and InfluxDB

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Docker and InfluxDB

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Apache and InfluxDB

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Amazon ECS and InfluxDB

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

ActiveMQ and InfluxDB

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Google Cloud PubSub and InfluxDB

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Azure Event Hubs and InfluxDB

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Consul and InfluxDB

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Google Cloud Stackdriver and InfluxDB

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

AWS Data Firehose and InfluxDB

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Google Cloud Storage and InfluxDB

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

HAProxy and InfluxDB

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Jenkins and InfluxDB

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

LDAP and InfluxDB

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Nginx and InfluxDB

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Hashicorp Nomad and InfluxDB

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

OpenStack and InfluxDB

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Webhooks and InfluxDB

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Tail and InfluxDB

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Azure Monitor and InfluxDB

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

NSQ and InfluxDB

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

RabbitMQ and InfluxDB

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Salesforce and InfluxDB

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

SNMP Trap and InfluxDB

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Supervisor and InfluxDB

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Suricata and InfluxDB

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Syslog and InfluxDB

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Memcached and InfluxDB

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Mesos and InfluxDB

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Apache Zookeeper and InfluxDB

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Hashicorp Vault and InfluxDB

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

VMware vSphere and InfluxDB

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Ceph and InfluxDB

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

DNS and InfluxDB

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

ctrlX Data Layer and InfluxDB

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Nvidia SMI and InfluxDB

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Intel PowerStat and InfluxDB

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

iptables and InfluxDB

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

InfiniBand and InfluxDB

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Wireguard and InfluxDB

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Kibana and InfluxDB

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Cisco Model-Driven Telemetry and InfluxDB

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Fireboard and InfluxDB

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Icinga and InfluxDB

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

IPMI Sensor and InfluxDB

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

IPVS and InfluxDB

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

JTI OpenConfig Telemetry and InfluxDB

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Kernel and InfluxDB

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Apache Aurora and InfluxDB

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Azure Storage Queue and InfluxDB

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Arista LANZ and InfluxDB

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Phillips Hue Bridge and InfluxDB

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Netflow and InfluxDB

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

KNX and InfluxDB

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

ntpq and InfluxDB

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

MavLink and InfluxDB

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.

Kafka and Datadog

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Kinesis and Datadog

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

HTTP and Datadog

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

SNMP and Datadog

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Modbus and Datadog

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

OPC UA and Datadog

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

MQTT and Datadog

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

gNMI and Datadog

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Fluentd and Datadog

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

OpenTelemetry and Datadog

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

AMQP and Datadog

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Amazon CloudWatch and Datadog

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Zipkin and Datadog

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

NATS and Datadog

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Kubernetes and Datadog

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

StatsD and Datadog

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Docker and Datadog

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Apache and Datadog

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Amazon ECS and Datadog

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

ActiveMQ and Datadog

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Google Cloud PubSub and Datadog

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Azure Event Hubs and Datadog

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Consul and Datadog

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Google Cloud Stackdriver and Datadog

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

AWS Data Firehose and Datadog

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Google Cloud Storage and Datadog

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

HAProxy and Datadog

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Jenkins and Datadog

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

LDAP and Datadog

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Nginx and Datadog

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Hashicorp Nomad and Datadog

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

OpenStack and Datadog

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Webhooks and Datadog

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Tail and Datadog

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Azure Monitor and Datadog

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

NSQ and Datadog

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

RabbitMQ and Datadog

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Salesforce and Datadog

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

SNMP Trap and Datadog

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Supervisor and Datadog

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Suricata and Datadog

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Syslog and Datadog

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Memcached and Datadog

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Mesos and Datadog

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Apache Zookeeper and Datadog

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Hashicorp Vault and Datadog

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

VMware vSphere and Datadog

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Ceph and Datadog

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

DNS and Datadog

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

ctrlX Data Layer and Datadog

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Nvidia SMI and Datadog

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Intel PowerStat and Datadog

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

iptables and Datadog

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

InfiniBand and Datadog

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Wireguard and Datadog

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Kibana and Datadog

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Cisco Model-Driven Telemetry and Datadog

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Fireboard and Datadog

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Icinga and Datadog

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

IPMI Sensor and Datadog

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

IPVS and Datadog

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

JTI OpenConfig Telemetry and Datadog

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Kernel and Datadog

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Apache Aurora and Datadog

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Azure Storage Queue and Datadog

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Arista LANZ and Datadog

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Phillips Hue Bridge and Datadog

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Netflow and Datadog

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

KNX and Datadog

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

ntpq and Datadog

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

MavLink and Datadog

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.

Kafka and PostgreSQL

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Kinesis and PostgreSQL

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

HTTP and PostgreSQL

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

SNMP and PostgreSQL

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Modbus and PostgreSQL

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

OPC UA and PostgreSQL

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

MQTT and PostgreSQL

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

gNMI and PostgreSQL

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Fluentd and PostgreSQL

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

OpenTelemetry and PostgreSQL

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

AMQP and PostgreSQL

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Amazon CloudWatch and PostgreSQL

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Zipkin and PostgreSQL

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

NATS and PostgreSQL

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Kubernetes and PostgreSQL

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

StatsD and PostgreSQL

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Docker and PostgreSQL

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Apache and PostgreSQL

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Amazon ECS and PostgreSQL

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

ActiveMQ and PostgreSQL

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Google Cloud PubSub and PostgreSQL

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Azure Event Hubs and PostgreSQL

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Consul and PostgreSQL

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Google Cloud Stackdriver and PostgreSQL

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

AWS Data Firehose and PostgreSQL

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Google Cloud Storage and PostgreSQL

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

HAProxy and PostgreSQL

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Jenkins and PostgreSQL

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

LDAP and PostgreSQL

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Nginx and PostgreSQL

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Hashicorp Nomad and PostgreSQL

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

OpenStack and PostgreSQL

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Webhooks and PostgreSQL

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Tail and PostgreSQL

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Azure Monitor and PostgreSQL

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

NSQ and PostgreSQL

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

RabbitMQ and PostgreSQL

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Salesforce and PostgreSQL

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

SNMP Trap and PostgreSQL

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Supervisor and PostgreSQL

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Suricata and PostgreSQL

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Syslog and PostgreSQL

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Memcached and PostgreSQL

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Mesos and PostgreSQL

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Apache Zookeeper and PostgreSQL

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Hashicorp Vault and PostgreSQL

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

VMware vSphere and PostgreSQL

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Ceph and PostgreSQL

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

DNS and PostgreSQL

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

ctrlX Data Layer and PostgreSQL

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Nvidia SMI and PostgreSQL

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Intel PowerStat and PostgreSQL

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

iptables and PostgreSQL

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

InfiniBand and PostgreSQL

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Wireguard and PostgreSQL

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Kibana and PostgreSQL

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Cisco Model-Driven Telemetry and PostgreSQL

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Fireboard and PostgreSQL

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Icinga and PostgreSQL

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

IPMI Sensor and PostgreSQL

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

IPVS and PostgreSQL

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

JTI OpenConfig Telemetry and PostgreSQL

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Kernel and PostgreSQL

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Apache Aurora and PostgreSQL

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Azure Storage Queue and PostgreSQL

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Arista LANZ and PostgreSQL

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Phillips Hue Bridge and PostgreSQL

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Netflow and PostgreSQL

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

KNX and PostgreSQL

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

ntpq and PostgreSQL

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

MavLink and PostgreSQL

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.

Kafka and Elasticsearch

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Kinesis and Elasticsearch

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

HTTP and Elasticsearch

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

SNMP and Elasticsearch

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Modbus and Elasticsearch

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

OPC UA and Elasticsearch

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

MQTT and Elasticsearch

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

gNMI and Elasticsearch

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Fluentd and Elasticsearch

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

OpenTelemetry and Elasticsearch

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

AMQP and Elasticsearch

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Amazon CloudWatch and Elasticsearch

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Zipkin and Elasticsearch

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

NATS and Elasticsearch

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Kubernetes and Elasticsearch

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

StatsD and Elasticsearch

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Docker and Elasticsearch

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Apache and Elasticsearch

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Amazon ECS and Elasticsearch

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

ActiveMQ and Elasticsearch

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Google Cloud PubSub and Elasticsearch

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Azure Event Hubs and Elasticsearch

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Consul and Elasticsearch

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Google Cloud Stackdriver and Elasticsearch

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

AWS Data Firehose and Elasticsearch

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Google Cloud Storage and Elasticsearch

Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

HAProxy and Elasticsearch

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Jenkins and Elasticsearch

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

LDAP and Elasticsearch

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Nginx and Elasticsearch

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Hashicorp Nomad and Elasticsearch

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

OpenStack and Elasticsearch

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Webhooks and Elasticsearch

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Tail and Elasticsearch

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Azure Monitor and Elasticsearch

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

NSQ and Elasticsearch

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

RabbitMQ and Elasticsearch

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Salesforce and Elasticsearch

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

SNMP Trap and Elasticsearch

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Supervisor and Elasticsearch

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Suricata and Elasticsearch

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Syslog and Elasticsearch

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Memcached and Elasticsearch

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Mesos and Elasticsearch

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Apache Zookeeper and Elasticsearch

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Hashicorp Vault and Elasticsearch

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

VMware vSphere and Elasticsearch

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Ceph and Elasticsearch

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

DNS and Elasticsearch

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

ctrlX Data Layer and Elasticsearch

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Nvidia SMI and Elasticsearch

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Intel PowerStat and Elasticsearch

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

iptables and Elasticsearch

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

InfiniBand and Elasticsearch

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Wireguard and Elasticsearch

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Kibana and Elasticsearch

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Cisco Model-Driven Telemetry and Elasticsearch

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Fireboard and Elasticsearch

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Icinga and Elasticsearch

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

IPMI Sensor and Elasticsearch

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

IPVS and Elasticsearch

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

JTI OpenConfig Telemetry and Elasticsearch

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Kernel and Elasticsearch

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Apache Aurora and Elasticsearch

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Azure Storage Queue and Elasticsearch

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Arista LANZ and Elasticsearch

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Phillips Hue Bridge and Elasticsearch

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Netflow and Elasticsearch

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

KNX and Elasticsearch

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

ntpq and Elasticsearch

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

MavLink and Elasticsearch

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.

Kafka and MongoDB

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Kinesis and MongoDB

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

HTTP and MongoDB

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

SNMP and MongoDB

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Modbus and MongoDB

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

OPC UA and MongoDB

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

MQTT and MongoDB

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

gNMI and MongoDB

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Fluentd and MongoDB

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

OpenTelemetry and MongoDB

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

AMQP and MongoDB

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Amazon CloudWatch and MongoDB

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Zipkin and MongoDB

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

NATS and MongoDB

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Kubernetes and MongoDB

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

StatsD and MongoDB

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Docker and MongoDB

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Apache and MongoDB

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Amazon ECS and MongoDB

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

ActiveMQ and MongoDB

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Google Cloud PubSub and MongoDB

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Azure Event Hubs and MongoDB

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Consul and MongoDB

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Google Cloud Stackdriver and MongoDB

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

AWS Data Firehose and MongoDB

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Google Cloud Storage and MongoDB

Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

HAProxy and MongoDB

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Jenkins and MongoDB

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

LDAP and MongoDB

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Nginx and MongoDB

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Hashicorp Nomad and MongoDB

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

OpenStack and MongoDB

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Webhooks and MongoDB

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Tail and MongoDB

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Azure Monitor and MongoDB

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

NSQ and MongoDB

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

RabbitMQ and MongoDB

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Salesforce and MongoDB

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

SNMP Trap and MongoDB

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Supervisor and MongoDB

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Suricata and MongoDB

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Syslog and MongoDB

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Memcached and MongoDB

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Mesos and MongoDB

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Apache Zookeeper and MongoDB

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Hashicorp Vault and MongoDB

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

VMware vSphere and MongoDB

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Ceph and MongoDB

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

DNS and MongoDB

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

ctrlX Data Layer and MongoDB

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Nvidia SMI and MongoDB

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Intel PowerStat and MongoDB

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

iptables and MongoDB

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

InfiniBand and MongoDB

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Wireguard and MongoDB

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Kibana and MongoDB

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Cisco Model-Driven Telemetry and MongoDB

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Fireboard and MongoDB

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Icinga and MongoDB

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

IPMI Sensor and MongoDB

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

IPVS and MongoDB

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

JTI OpenConfig Telemetry and MongoDB

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Kernel and MongoDB

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Apache Aurora and MongoDB

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Azure Storage Queue and MongoDB

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Arista LANZ and MongoDB

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Phillips Hue Bridge and MongoDB

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Netflow and MongoDB

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

KNX and MongoDB

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

ntpq and MongoDB

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

MavLink and MongoDB

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.

Kafka and Google BigQuery

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Kinesis and Google BigQuery

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

HTTP and Google BigQuery

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

SNMP and Google BigQuery

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Modbus and Google BigQuery

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

OPC UA and Google BigQuery

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

MQTT and Google BigQuery

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

gNMI and Google BigQuery

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Fluentd and Google BigQuery

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

OpenTelemetry and Google BigQuery

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

AMQP and Google BigQuery

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Amazon CloudWatch and Google BigQuery

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Zipkin and Google BigQuery

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

NATS and Google BigQuery

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Kubernetes and Google BigQuery

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

StatsD and Google BigQuery

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Docker and Google BigQuery

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Apache and Google BigQuery

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Amazon ECS and Google BigQuery

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

ActiveMQ and Google BigQuery

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Google Cloud PubSub and Google BigQuery

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Azure Event Hubs and Google BigQuery

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Consul and Google BigQuery

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Google Cloud Stackdriver and Google BigQuery

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

AWS Data Firehose and Google BigQuery

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Google Cloud Storage and Google BigQuery

Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

HAProxy and Google BigQuery

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Jenkins and Google BigQuery

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

LDAP and Google BigQuery

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Nginx and Google BigQuery

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Hashicorp Nomad and Google BigQuery

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

OpenStack and Google BigQuery

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Webhooks and Google BigQuery

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Tail and Google BigQuery

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Azure Monitor and Google BigQuery

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

NSQ and Google BigQuery

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

RabbitMQ and Google BigQuery

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Salesforce and Google BigQuery

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

SNMP Trap and Google BigQuery

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Supervisor and Google BigQuery

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Suricata and Google BigQuery

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Syslog and Google BigQuery

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Memcached and Google BigQuery

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Mesos and Google BigQuery

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Apache Zookeeper and Google BigQuery

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Hashicorp Vault and Google BigQuery

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

VMware vSphere and Google BigQuery

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Ceph and Google BigQuery

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

DNS and Google BigQuery

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

ctrlX Data Layer and Google BigQuery

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Nvidia SMI and Google BigQuery

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Intel PowerStat and Google BigQuery

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

iptables and Google BigQuery

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

InfiniBand and Google BigQuery

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Wireguard and Google BigQuery

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Kibana and Google BigQuery

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Cisco Model-Driven Telemetry and Google BigQuery

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Fireboard and Google BigQuery

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Icinga and Google BigQuery

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

IPMI Sensor and Google BigQuery

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

IPVS and Google BigQuery

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

JTI OpenConfig Telemetry and Google BigQuery

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Kernel and Google BigQuery

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Apache Aurora and Google BigQuery

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Azure Storage Queue and Google BigQuery

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Arista LANZ and Google BigQuery

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Phillips Hue Bridge and Google BigQuery

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Netflow and Google BigQuery

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

KNX and Google BigQuery

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

ntpq and Google BigQuery

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

MavLink and Google BigQuery

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.

Kafka and Redis

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Kinesis and Redis

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

HTTP and Redis

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

SNMP and Redis

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Modbus and Redis

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

OPC UA and Redis

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

MQTT and Redis

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

gNMI and Redis

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Fluentd and Redis

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

OpenTelemetry and Redis

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

AMQP and Redis

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Amazon CloudWatch and Redis

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Zipkin and Redis

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

NATS and Redis

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Kubernetes and Redis

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

StatsD and Redis

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Docker and Redis

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Apache and Redis

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Amazon ECS and Redis

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

ActiveMQ and Redis

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Google Cloud PubSub and Redis

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Azure Event Hubs and Redis

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Consul and Redis

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Google Cloud Stackdriver and Redis

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

AWS Data Firehose and Redis

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Google Cloud Storage and Redis

Collects metrics from Google Cloud Storage buckets for performance monitoring.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

HAProxy and Redis

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Jenkins and Redis

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

LDAP and Redis

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Nginx and Redis

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Hashicorp Nomad and Redis

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

OpenStack and Redis

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Webhooks and Redis

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Tail and Redis

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Azure Monitor and Redis

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

NSQ and Redis

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

RabbitMQ and Redis

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Salesforce and Redis

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

SNMP Trap and Redis

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Supervisor and Redis

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Suricata and Redis

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Syslog and Redis

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Memcached and Redis

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Mesos and Redis

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Apache Zookeeper and Redis

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Hashicorp Vault and Redis

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

VMware vSphere and Redis

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Ceph and Redis

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

DNS and Redis

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

ctrlX Data Layer and Redis

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Nvidia SMI and Redis

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Intel PowerStat and Redis

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

iptables and Redis

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

InfiniBand and Redis

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Wireguard and Redis

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Kibana and Redis

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Cisco Model-Driven Telemetry and Redis

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Fireboard and Redis

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Icinga and Redis

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

IPMI Sensor and Redis

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

IPVS and Redis

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

JTI OpenConfig Telemetry and Redis

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Kernel and Redis

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Apache Aurora and Redis

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Azure Storage Queue and Redis

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Arista LANZ and Redis

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Phillips Hue Bridge and Redis

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Netflow and Redis

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

KNX and Redis

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

ntpq and Redis

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

MavLink and Redis

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.

Kafka and Snowflake

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Kinesis and Snowflake

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

HTTP and Snowflake

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

SNMP and Snowflake

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Modbus and Snowflake

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

OPC UA and Snowflake

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

MQTT and Snowflake

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

gNMI and Snowflake

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Fluentd and Snowflake

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

OpenTelemetry and Snowflake

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

AMQP and Snowflake

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Amazon CloudWatch and Snowflake

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Zipkin and Snowflake

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

NATS and Snowflake

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Kubernetes and Snowflake

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

StatsD and Snowflake

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Docker and Snowflake

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Apache and Snowflake

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Amazon ECS and Snowflake

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

ActiveMQ and Snowflake

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Google Cloud PubSub and Snowflake

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Azure Event Hubs and Snowflake

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Consul and Snowflake

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Google Cloud Stackdriver and Snowflake

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

AWS Data Firehose and Snowflake

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Google Cloud Storage and Snowflake

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

HAProxy and Snowflake

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Jenkins and Snowflake

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

LDAP and Snowflake

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Nginx and Snowflake

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Hashicorp Nomad and Snowflake

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

OpenStack and Snowflake

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Webhooks and Snowflake

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Tail and Snowflake

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Azure Monitor and Snowflake

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

NSQ and Snowflake

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

RabbitMQ and Snowflake

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Salesforce and Snowflake

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

SNMP Trap and Snowflake

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Supervisor and Snowflake

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Suricata and Snowflake

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Syslog and Snowflake

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Memcached and Snowflake

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Mesos and Snowflake

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Apache Zookeeper and Snowflake

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Hashicorp Vault and Snowflake

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

VMware vSphere and Snowflake

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Ceph and Snowflake

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

DNS and Snowflake

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

ctrlX Data Layer and Snowflake

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Nvidia SMI and Snowflake

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Intel PowerStat and Snowflake

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

iptables and Snowflake

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

InfiniBand and Snowflake

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Wireguard and Snowflake

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Kibana and Snowflake

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Cisco Model-Driven Telemetry and Snowflake

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Fireboard and Snowflake

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Icinga and Snowflake

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

IPMI Sensor and Snowflake

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

IPVS and Snowflake

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

JTI OpenConfig Telemetry and Snowflake

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Kernel and Snowflake

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Apache Aurora and Snowflake

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Azure Storage Queue and Snowflake

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Arista LANZ and Snowflake

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Phillips Hue Bridge and Snowflake

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Netflow and Snowflake

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

KNX and Snowflake

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

ntpq and Snowflake

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

MavLink and Snowflake

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.

Kafka and Microsoft SQL Server

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Kinesis and Microsoft SQL Server

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

HTTP and Microsoft SQL Server

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

SNMP and Microsoft SQL Server

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Modbus and Microsoft SQL Server

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

OPC UA and Microsoft SQL Server

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

MQTT and Microsoft SQL Server

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

gNMI and Microsoft SQL Server

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Fluentd and Microsoft SQL Server

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

OpenTelemetry and Microsoft SQL Server

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

AMQP and Microsoft SQL Server

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Amazon CloudWatch and Microsoft SQL Server

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Zipkin and Microsoft SQL Server

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

NATS and Microsoft SQL Server

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Kubernetes and Microsoft SQL Server

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

StatsD and Microsoft SQL Server

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Docker and Microsoft SQL Server

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Apache and Microsoft SQL Server

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Amazon ECS and Microsoft SQL Server

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

ActiveMQ and Microsoft SQL Server

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Google Cloud PubSub and Microsoft SQL Server

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Azure Event Hubs and Microsoft SQL Server

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Consul and Microsoft SQL Server

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Google Cloud Stackdriver and Microsoft SQL Server

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

AWS Data Firehose and Microsoft SQL Server

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Google Cloud Storage and Microsoft SQL Server

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

HAProxy and Microsoft SQL Server

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Jenkins and Microsoft SQL Server

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

LDAP and Microsoft SQL Server

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Nginx and Microsoft SQL Server

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Hashicorp Nomad and Microsoft SQL Server

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

OpenStack and Microsoft SQL Server

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Webhooks and Microsoft SQL Server

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Tail and Microsoft SQL Server

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Azure Monitor and Microsoft SQL Server

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

NSQ and Microsoft SQL Server

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

RabbitMQ and Microsoft SQL Server

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Salesforce and Microsoft SQL Server

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

SNMP Trap and Microsoft SQL Server

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Supervisor and Microsoft SQL Server

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Suricata and Microsoft SQL Server

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Syslog and Microsoft SQL Server

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Memcached and Microsoft SQL Server

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Mesos and Microsoft SQL Server

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Apache Zookeeper and Microsoft SQL Server

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Hashicorp Vault and Microsoft SQL Server

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

VMware vSphere and Microsoft SQL Server

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Ceph and Microsoft SQL Server

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

DNS and Microsoft SQL Server

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

ctrlX Data Layer and Microsoft SQL Server

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Nvidia SMI and Microsoft SQL Server

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Intel PowerStat and Microsoft SQL Server

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

iptables and Microsoft SQL Server

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

InfiniBand and Microsoft SQL Server

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Wireguard and Microsoft SQL Server

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Kibana and Microsoft SQL Server

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Cisco Model-Driven Telemetry and Microsoft SQL Server

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Fireboard and Microsoft SQL Server

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Icinga and Microsoft SQL Server

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

IPMI Sensor and Microsoft SQL Server

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

IPVS and Microsoft SQL Server

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

JTI OpenConfig Telemetry and Microsoft SQL Server

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Kernel and Microsoft SQL Server

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Apache Aurora and Microsoft SQL Server

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Azure Storage Queue and Microsoft SQL Server

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Arista LANZ and Microsoft SQL Server

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Phillips Hue Bridge and Microsoft SQL Server

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Netflow and Microsoft SQL Server

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

KNX and Microsoft SQL Server

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

ntpq and Microsoft SQL Server

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

MavLink and Microsoft SQL Server

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.

Kafka and SQLite

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Kinesis and SQLite

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

HTTP and SQLite

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

SNMP and SQLite

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Modbus and SQLite

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

OPC UA and SQLite

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

MQTT and SQLite

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

gNMI and SQLite

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Fluentd and SQLite

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

OpenTelemetry and SQLite

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

AMQP and SQLite

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Amazon CloudWatch and SQLite

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Zipkin and SQLite

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

NATS and SQLite

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Kubernetes and SQLite

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

StatsD and SQLite

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Docker and SQLite

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Apache and SQLite

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Amazon ECS and SQLite

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

ActiveMQ and SQLite

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Google Cloud PubSub and SQLite

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Azure Event Hubs and SQLite

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Consul and SQLite

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Google Cloud Stackdriver and SQLite

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

AWS Data Firehose and SQLite

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Google Cloud Storage and SQLite

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

HAProxy and SQLite

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Jenkins and SQLite

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

LDAP and SQLite

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Nginx and SQLite

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Hashicorp Nomad and SQLite

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

OpenStack and SQLite

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Webhooks and SQLite

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Tail and SQLite

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Azure Monitor and SQLite

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

NSQ and SQLite

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

RabbitMQ and SQLite

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Salesforce and SQLite

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

SNMP Trap and SQLite

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Supervisor and SQLite

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Suricata and SQLite

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Syslog and SQLite

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Memcached and SQLite

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Mesos and SQLite

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Apache Zookeeper and SQLite

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Hashicorp Vault and SQLite

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

VMware vSphere and SQLite

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Ceph and SQLite

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

DNS and SQLite

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

ctrlX Data Layer and SQLite

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Nvidia SMI and SQLite

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Intel PowerStat and SQLite

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

iptables and SQLite

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

InfiniBand and SQLite

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Wireguard and SQLite

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Kibana and SQLite

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Cisco Model-Driven Telemetry and SQLite

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Fireboard and SQLite

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Icinga and SQLite

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

IPMI Sensor and SQLite

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

IPVS and SQLite

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

JTI OpenConfig Telemetry and SQLite

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Kernel and SQLite

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Apache Aurora and SQLite

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Azure Storage Queue and SQLite

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Arista LANZ and SQLite

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Phillips Hue Bridge and SQLite

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Netflow and SQLite

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

KNX and SQLite

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

ntpq and SQLite

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

MavLink and SQLite

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.

Kafka and Clickhouse

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Kinesis and Clickhouse

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

HTTP and Clickhouse

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

SNMP and Clickhouse

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Modbus and Clickhouse

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

OPC UA and Clickhouse

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

MQTT and Clickhouse

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

gNMI and Clickhouse

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Fluentd and Clickhouse

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

OpenTelemetry and Clickhouse

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

AMQP and Clickhouse

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Amazon CloudWatch and Clickhouse

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Zipkin and Clickhouse

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

NATS and Clickhouse

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Kubernetes and Clickhouse

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

StatsD and Clickhouse

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Docker and Clickhouse

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Apache and Clickhouse

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Amazon ECS and Clickhouse

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

ActiveMQ and Clickhouse

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Google Cloud PubSub and Clickhouse

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Azure Event Hubs and Clickhouse

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Consul and Clickhouse

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Google Cloud Stackdriver and Clickhouse

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

AWS Data Firehose and Clickhouse

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Google Cloud Storage and Clickhouse

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

HAProxy and Clickhouse

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Jenkins and Clickhouse

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

LDAP and Clickhouse

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Nginx and Clickhouse

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Hashicorp Nomad and Clickhouse

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

OpenStack and Clickhouse

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Webhooks and Clickhouse

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Tail and Clickhouse

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Azure Monitor and Clickhouse

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

NSQ and Clickhouse

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

RabbitMQ and Clickhouse

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Salesforce and Clickhouse

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

SNMP Trap and Clickhouse

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Supervisor and Clickhouse

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Suricata and Clickhouse

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Syslog and Clickhouse

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Memcached and Clickhouse

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Mesos and Clickhouse

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Apache Zookeeper and Clickhouse

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Hashicorp Vault and Clickhouse

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

VMware vSphere and Clickhouse

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Ceph and Clickhouse

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

DNS and Clickhouse

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

ctrlX Data Layer and Clickhouse

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Nvidia SMI and Clickhouse

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Intel PowerStat and Clickhouse

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

iptables and Clickhouse

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

InfiniBand and Clickhouse

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Wireguard and Clickhouse

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Kibana and Clickhouse

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Cisco Model-Driven Telemetry and Clickhouse

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Fireboard and Clickhouse

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Icinga and Clickhouse

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

IPMI Sensor and Clickhouse

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

IPVS and Clickhouse

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

JTI OpenConfig Telemetry and Clickhouse

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Kernel and Clickhouse

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Apache Aurora and Clickhouse

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Azure Storage Queue and Clickhouse

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Arista LANZ and Clickhouse

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Phillips Hue Bridge and Clickhouse

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Netflow and Clickhouse

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

KNX and Clickhouse

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

ntpq and Clickhouse

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

MavLink and Clickhouse

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.

Kafka and MySQL

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Kinesis and MySQL

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

HTTP and MySQL

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

SNMP and MySQL

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Modbus and MySQL

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

OPC UA and MySQL

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

MQTT and MySQL

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

gNMI and MySQL

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Fluentd and MySQL

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

OpenTelemetry and MySQL

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

AMQP and MySQL

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Amazon CloudWatch and MySQL

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Zipkin and MySQL

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

NATS and MySQL

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Kubernetes and MySQL

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

StatsD and MySQL

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Docker and MySQL

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Apache and MySQL

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Amazon ECS and MySQL

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

ActiveMQ and MySQL

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Google Cloud PubSub and MySQL

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Azure Event Hubs and MySQL

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Consul and MySQL

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Google Cloud Stackdriver and MySQL

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

AWS Data Firehose and MySQL

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Google Cloud Storage and MySQL

Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

HAProxy and MySQL

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Jenkins and MySQL

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

LDAP and MySQL

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Nginx and MySQL

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Hashicorp Nomad and MySQL

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

OpenStack and MySQL

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Webhooks and MySQL

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Tail and MySQL

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Azure Monitor and MySQL

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

NSQ and MySQL

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

RabbitMQ and MySQL

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Salesforce and MySQL

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

SNMP Trap and MySQL

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Supervisor and MySQL

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Suricata and MySQL

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Syslog and MySQL

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Memcached and MySQL

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Mesos and MySQL

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Apache Zookeeper and MySQL

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Hashicorp Vault and MySQL

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

VMware vSphere and MySQL

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Ceph and MySQL

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

DNS and MySQL

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

ctrlX Data Layer and MySQL

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Nvidia SMI and MySQL

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Intel PowerStat and MySQL

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

iptables and MySQL

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

InfiniBand and MySQL

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Wireguard and MySQL

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Kibana and MySQL

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Cisco Model-Driven Telemetry and MySQL

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Fireboard and MySQL

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Icinga and MySQL

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

IPMI Sensor and MySQL

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

IPVS and MySQL

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

JTI OpenConfig Telemetry and MySQL

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Kernel and MySQL

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Apache Aurora and MySQL

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Azure Storage Queue and MySQL

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Arista LANZ and MySQL

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Phillips Hue Bridge and MySQL

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Netflow and MySQL

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

KNX and MySQL

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

ntpq and MySQL

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

MavLink and MySQL

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.

Kafka and Loki

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Kinesis and Loki

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

HTTP and Loki

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

SNMP and Loki

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Modbus and Loki

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

OPC UA and Loki

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

MQTT and Loki

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

gNMI and Loki

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Fluentd and Loki

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

OpenTelemetry and Loki

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

AMQP and Loki

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Amazon CloudWatch and Loki

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Zipkin and Loki

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

NATS and Loki

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Kubernetes and Loki

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

StatsD and Loki

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Docker and Loki

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Apache and Loki

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Amazon ECS and Loki

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

ActiveMQ and Loki

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Google Cloud PubSub and Loki

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Azure Event Hubs and Loki

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Consul and Loki

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Google Cloud Stackdriver and Loki

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

AWS Data Firehose and Loki

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Google Cloud Storage and Loki

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

HAProxy and Loki

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Jenkins and Loki

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

LDAP and Loki

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Nginx and Loki

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Hashicorp Nomad and Loki

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

OpenStack and Loki

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Webhooks and Loki

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Tail and Loki

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Azure Monitor and Loki

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

NSQ and Loki

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

RabbitMQ and Loki

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Salesforce and Loki

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

SNMP Trap and Loki

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Supervisor and Loki

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Suricata and Loki

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Syslog and Loki

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Memcached and Loki

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Mesos and Loki

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Apache Zookeeper and Loki

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Hashicorp Vault and Loki

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

VMware vSphere and Loki

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Ceph and Loki

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

DNS and Loki

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

ctrlX Data Layer and Loki

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Nvidia SMI and Loki

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Intel PowerStat and Loki

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

iptables and Loki

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

InfiniBand and Loki

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Wireguard and Loki

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Kibana and Loki

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Cisco Model-Driven Telemetry and Loki

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Fireboard and Loki

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Icinga and Loki

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

IPMI Sensor and Loki

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

IPVS and Loki

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

JTI OpenConfig Telemetry and Loki

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Kernel and Loki

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Apache Aurora and Loki

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Azure Storage Queue and Loki

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Arista LANZ and Loki

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Phillips Hue Bridge and Loki

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Netflow and Loki

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

KNX and Loki

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

ntpq and Loki

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

MavLink and Loki

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.

Kafka and Prometheus

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Kinesis and Prometheus

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

HTTP and Prometheus

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

SNMP and Prometheus

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Modbus and Prometheus

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

OPC UA and Prometheus

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

MQTT and Prometheus

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

gNMI and Prometheus

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Fluentd and Prometheus

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

OpenTelemetry and Prometheus

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

AMQP and Prometheus

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Amazon CloudWatch and Prometheus

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Zipkin and Prometheus

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

NATS and Prometheus

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Kubernetes and Prometheus

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

StatsD and Prometheus

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Docker and Prometheus

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Apache and Prometheus

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Amazon ECS and Prometheus

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

ActiveMQ and Prometheus

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Google Cloud PubSub and Prometheus

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Azure Event Hubs and Prometheus

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Consul and Prometheus

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Google Cloud Stackdriver and Prometheus

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

AWS Data Firehose and Prometheus

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Google Cloud Storage and Prometheus

Collects metrics from Google Cloud Storage buckets for performance monitoring.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

HAProxy and Prometheus

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Jenkins and Prometheus

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

LDAP and Prometheus

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Nginx and Prometheus

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Hashicorp Nomad and Prometheus

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

OpenStack and Prometheus

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Webhooks and Prometheus

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Tail and Prometheus

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Azure Monitor and Prometheus

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

NSQ and Prometheus

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

RabbitMQ and Prometheus

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Salesforce and Prometheus

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

SNMP Trap and Prometheus

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Supervisor and Prometheus

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Suricata and Prometheus

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Syslog and Prometheus

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Memcached and Prometheus

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Mesos and Prometheus

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Apache Zookeeper and Prometheus

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Hashicorp Vault and Prometheus

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

VMware vSphere and Prometheus

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Ceph and Prometheus

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

DNS and Prometheus

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

ctrlX Data Layer and Prometheus

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Nvidia SMI and Prometheus

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Intel PowerStat and Prometheus

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

iptables and Prometheus

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

InfiniBand and Prometheus

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Wireguard and Prometheus

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Kibana and Prometheus

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Cisco Model-Driven Telemetry and Prometheus

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Fireboard and Prometheus

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Icinga and Prometheus

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

IPMI Sensor and Prometheus

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

IPVS and Prometheus

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

JTI OpenConfig Telemetry and Prometheus

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Kernel and Prometheus

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Apache Aurora and Prometheus

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Azure Storage Queue and Prometheus

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Arista LANZ and Prometheus

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Phillips Hue Bridge and Prometheus

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Netflow and Prometheus

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

KNX and Prometheus

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

ntpq and Prometheus

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

MavLink and Prometheus

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.

Kafka and OpenSearch

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Kinesis and OpenSearch

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

HTTP and OpenSearch

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

SNMP and OpenSearch

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Modbus and OpenSearch

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

OPC UA and OpenSearch

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

MQTT and OpenSearch

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

gNMI and OpenSearch

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Fluentd and OpenSearch

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

OpenTelemetry and OpenSearch

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

AMQP and OpenSearch

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Amazon CloudWatch and OpenSearch

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Zipkin and OpenSearch

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

NATS and OpenSearch

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Kubernetes and OpenSearch

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

StatsD and OpenSearch

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Docker and OpenSearch

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Apache and OpenSearch

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Amazon ECS and OpenSearch

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

ActiveMQ and OpenSearch

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Google Cloud PubSub and OpenSearch

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Azure Event Hubs and OpenSearch

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Consul and OpenSearch

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Google Cloud Stackdriver and OpenSearch

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

AWS Data Firehose and OpenSearch

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Google Cloud Storage and OpenSearch

Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

HAProxy and OpenSearch

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Jenkins and OpenSearch

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

LDAP and OpenSearch

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Nginx and OpenSearch

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Hashicorp Nomad and OpenSearch

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

OpenStack and OpenSearch

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Webhooks and OpenSearch

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Tail and OpenSearch

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Azure Monitor and OpenSearch

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

NSQ and OpenSearch

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

RabbitMQ and OpenSearch

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Salesforce and OpenSearch

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

SNMP Trap and OpenSearch

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Supervisor and OpenSearch

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Suricata and OpenSearch

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Syslog and OpenSearch

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Memcached and OpenSearch

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Mesos and OpenSearch

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Apache Zookeeper and OpenSearch

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Hashicorp Vault and OpenSearch

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

VMware vSphere and OpenSearch

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Ceph and OpenSearch

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

DNS and OpenSearch

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

ctrlX Data Layer and OpenSearch

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Nvidia SMI and OpenSearch

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Intel PowerStat and OpenSearch

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

iptables and OpenSearch

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

InfiniBand and OpenSearch

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Wireguard and OpenSearch

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Kibana and OpenSearch

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Cisco Model-Driven Telemetry and OpenSearch

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Fireboard and OpenSearch

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Icinga and OpenSearch

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

IPMI Sensor and OpenSearch

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

IPVS and OpenSearch

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

JTI OpenConfig Telemetry and OpenSearch

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Kernel and OpenSearch

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Apache Aurora and OpenSearch

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Azure Storage Queue and OpenSearch

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Arista LANZ and OpenSearch

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Phillips Hue Bridge and OpenSearch

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Netflow and OpenSearch

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

KNX and OpenSearch

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

ntpq and OpenSearch

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

MavLink and OpenSearch

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.

Kafka and OpenTSDB

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Kinesis and OpenTSDB

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

HTTP and OpenTSDB

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

SNMP and OpenTSDB

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Modbus and OpenTSDB

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

OPC UA and OpenTSDB

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

MQTT and OpenTSDB

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

gNMI and OpenTSDB

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Fluentd and OpenTSDB

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

OpenTelemetry and OpenTSDB

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

AMQP and OpenTSDB

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Amazon CloudWatch and OpenTSDB

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Zipkin and OpenTSDB

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

NATS and OpenTSDB

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Kubernetes and OpenTSDB

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

StatsD and OpenTSDB

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Docker and OpenTSDB

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Apache and OpenTSDB

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Amazon ECS and OpenTSDB

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

ActiveMQ and OpenTSDB

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Google Cloud PubSub and OpenTSDB

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Azure Event Hubs and OpenTSDB

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Consul and OpenTSDB

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Google Cloud Stackdriver and OpenTSDB

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

AWS Data Firehose and OpenTSDB

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Google Cloud Storage and OpenTSDB

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

HAProxy and OpenTSDB

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Jenkins and OpenTSDB

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

LDAP and OpenTSDB

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Nginx and OpenTSDB

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Hashicorp Nomad and OpenTSDB

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

OpenStack and OpenTSDB

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Webhooks and OpenTSDB

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Tail and OpenTSDB

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Azure Monitor and OpenTSDB

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

NSQ and OpenTSDB

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

RabbitMQ and OpenTSDB

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Salesforce and OpenTSDB

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

SNMP Trap and OpenTSDB

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Supervisor and OpenTSDB

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Suricata and OpenTSDB

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Syslog and OpenTSDB

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Memcached and OpenTSDB

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Mesos and OpenTSDB

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Apache Zookeeper and OpenTSDB

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Hashicorp Vault and OpenTSDB

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

VMware vSphere and OpenTSDB

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Ceph and OpenTSDB

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

DNS and OpenTSDB

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

ctrlX Data Layer and OpenTSDB

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Nvidia SMI and OpenTSDB

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Intel PowerStat and OpenTSDB

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

iptables and OpenTSDB

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

InfiniBand and OpenTSDB

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Wireguard and OpenTSDB

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Kibana and OpenTSDB

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Cisco Model-Driven Telemetry and OpenTSDB

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Fireboard and OpenTSDB

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Icinga and OpenTSDB

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

IPMI Sensor and OpenTSDB

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

IPVS and OpenTSDB

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

JTI OpenConfig Telemetry and OpenTSDB

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Kernel and OpenTSDB

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Apache Aurora and OpenTSDB

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Azure Storage Queue and OpenTSDB

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Arista LANZ and OpenTSDB

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Phillips Hue Bridge and OpenTSDB

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Netflow and OpenTSDB

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

KNX and OpenTSDB

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

ntpq and OpenTSDB

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

MavLink and OpenTSDB

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.

Kafka and Graphite

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Kinesis and Graphite

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

HTTP and Graphite

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

SNMP and Graphite

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Modbus and Graphite

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

OPC UA and Graphite

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

MQTT and Graphite

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

gNMI and Graphite

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Fluentd and Graphite

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

OpenTelemetry and Graphite

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

AMQP and Graphite

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Amazon CloudWatch and Graphite

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Zipkin and Graphite

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

NATS and Graphite

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Kubernetes and Graphite

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

StatsD and Graphite

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Docker and Graphite

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Apache and Graphite

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Amazon ECS and Graphite

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

ActiveMQ and Graphite

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Google Cloud PubSub and Graphite

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Azure Event Hubs and Graphite

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Consul and Graphite

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Google Cloud Stackdriver and Graphite

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

AWS Data Firehose and Graphite

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Google Cloud Storage and Graphite

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

HAProxy and Graphite

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Jenkins and Graphite

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

LDAP and Graphite

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Nginx and Graphite

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Hashicorp Nomad and Graphite

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

OpenStack and Graphite

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Webhooks and Graphite

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Tail and Graphite

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Azure Monitor and Graphite

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

NSQ and Graphite

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

RabbitMQ and Graphite

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Salesforce and Graphite

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

SNMP Trap and Graphite

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Supervisor and Graphite

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Suricata and Graphite

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Syslog and Graphite

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Memcached and Graphite

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Mesos and Graphite

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Apache Zookeeper and Graphite

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Hashicorp Vault and Graphite

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

VMware vSphere and Graphite

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Ceph and Graphite

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

DNS and Graphite

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

ctrlX Data Layer and Graphite

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Nvidia SMI and Graphite

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Intel PowerStat and Graphite

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

iptables and Graphite

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

InfiniBand and Graphite

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Wireguard and Graphite

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Kibana and Graphite

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Cisco Model-Driven Telemetry and Graphite

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Fireboard and Graphite

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Icinga and Graphite

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

IPMI Sensor and Graphite

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

IPVS and Graphite

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

JTI OpenConfig Telemetry and Graphite

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Kernel and Graphite

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Apache Aurora and Graphite

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Azure Storage Queue and Graphite

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Arista LANZ and Graphite

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Phillips Hue Bridge and Graphite

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Netflow and Graphite

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

KNX and Graphite

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

ntpq and Graphite

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

MavLink and Graphite

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.

Kafka and Azure Data Explorer

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Kinesis and Azure Data Explorer

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

HTTP and Azure Data Explorer

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

SNMP and Azure Data Explorer

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Modbus and Azure Data Explorer

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

OPC UA and Azure Data Explorer

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

MQTT and Azure Data Explorer

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

gNMI and Azure Data Explorer

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Fluentd and Azure Data Explorer

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

OpenTelemetry and Azure Data Explorer

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

AMQP and Azure Data Explorer

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Amazon CloudWatch and Azure Data Explorer

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Zipkin and Azure Data Explorer

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

NATS and Azure Data Explorer

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Kubernetes and Azure Data Explorer

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

StatsD and Azure Data Explorer

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Docker and Azure Data Explorer

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Apache and Azure Data Explorer

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Amazon ECS and Azure Data Explorer

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

ActiveMQ and Azure Data Explorer

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Google Cloud PubSub and Azure Data Explorer

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Azure Event Hubs and Azure Data Explorer

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Consul and Azure Data Explorer

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Google Cloud Stackdriver and Azure Data Explorer

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

AWS Data Firehose and Azure Data Explorer

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Google Cloud Storage and Azure Data Explorer

Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

HAProxy and Azure Data Explorer

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Jenkins and Azure Data Explorer

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

LDAP and Azure Data Explorer

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Nginx and Azure Data Explorer

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Hashicorp Nomad and Azure Data Explorer

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

OpenStack and Azure Data Explorer

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Webhooks and Azure Data Explorer

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Tail and Azure Data Explorer

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Azure Monitor and Azure Data Explorer

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

NSQ and Azure Data Explorer

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

RabbitMQ and Azure Data Explorer

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Salesforce and Azure Data Explorer

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

SNMP Trap and Azure Data Explorer

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Supervisor and Azure Data Explorer

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Suricata and Azure Data Explorer

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Syslog and Azure Data Explorer

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Memcached and Azure Data Explorer

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Mesos and Azure Data Explorer

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Apache Zookeeper and Azure Data Explorer

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Hashicorp Vault and Azure Data Explorer

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

VMware vSphere and Azure Data Explorer

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Ceph and Azure Data Explorer

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

DNS and Azure Data Explorer

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

ctrlX Data Layer and Azure Data Explorer

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Nvidia SMI and Azure Data Explorer

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Intel PowerStat and Azure Data Explorer

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

iptables and Azure Data Explorer

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

InfiniBand and Azure Data Explorer

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Wireguard and Azure Data Explorer

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Kibana and Azure Data Explorer

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Cisco Model-Driven Telemetry and Azure Data Explorer

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Fireboard and Azure Data Explorer

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Icinga and Azure Data Explorer

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

IPMI Sensor and Azure Data Explorer

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

IPVS and Azure Data Explorer

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

JTI OpenConfig Telemetry and Azure Data Explorer

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Kernel and Azure Data Explorer

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Apache Aurora and Azure Data Explorer

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Azure Storage Queue and Azure Data Explorer

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Arista LANZ and Azure Data Explorer

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Phillips Hue Bridge and Azure Data Explorer

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Netflow and Azure Data Explorer

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

KNX and Azure Data Explorer

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

ntpq and Azure Data Explorer

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

MavLink and Azure Data Explorer

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.

Kafka and Dynatrace

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Kinesis and Dynatrace

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

HTTP and Dynatrace

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

SNMP and Dynatrace

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Modbus and Dynatrace

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

OPC UA and Dynatrace

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

MQTT and Dynatrace

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

gNMI and Dynatrace

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Fluentd and Dynatrace

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

OpenTelemetry and Dynatrace

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

AMQP and Dynatrace

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Amazon CloudWatch and Dynatrace

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Zipkin and Dynatrace

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

NATS and Dynatrace

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Kubernetes and Dynatrace

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

StatsD and Dynatrace

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Docker and Dynatrace

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Apache and Dynatrace

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Amazon ECS and Dynatrace

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

ActiveMQ and Dynatrace

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Google Cloud PubSub and Dynatrace

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Azure Event Hubs and Dynatrace

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Consul and Dynatrace

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Google Cloud Stackdriver and Dynatrace

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

AWS Data Firehose and Dynatrace

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Google Cloud Storage and Dynatrace

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

HAProxy and Dynatrace

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Jenkins and Dynatrace

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

LDAP and Dynatrace

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Nginx and Dynatrace

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Hashicorp Nomad and Dynatrace

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

OpenStack and Dynatrace

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Webhooks and Dynatrace

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Tail and Dynatrace

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Azure Monitor and Dynatrace

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

NSQ and Dynatrace

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

RabbitMQ and Dynatrace

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Salesforce and Dynatrace

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

SNMP Trap and Dynatrace

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Supervisor and Dynatrace

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Suricata and Dynatrace

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Syslog and Dynatrace

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Memcached and Dynatrace

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Mesos and Dynatrace

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Apache Zookeeper and Dynatrace

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Hashicorp Vault and Dynatrace

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

VMware vSphere and Dynatrace

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Ceph and Dynatrace

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

DNS and Dynatrace

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

ctrlX Data Layer and Dynatrace

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Nvidia SMI and Dynatrace

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Intel PowerStat and Dynatrace

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

iptables and Dynatrace

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

InfiniBand and Dynatrace

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Wireguard and Dynatrace

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Kibana and Dynatrace

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Cisco Model-Driven Telemetry and Dynatrace

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Fireboard and Dynatrace

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Icinga and Dynatrace

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

IPMI Sensor and Dynatrace

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

IPVS and Dynatrace

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

JTI OpenConfig Telemetry and Dynatrace

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Kernel and Dynatrace

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Apache Aurora and Dynatrace

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Azure Storage Queue and Dynatrace

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Arista LANZ and Dynatrace

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Phillips Hue Bridge and Dynatrace

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Netflow and Dynatrace

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

KNX and Dynatrace

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

ntpq and Dynatrace

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

MavLink and Dynatrace

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.

Kafka and Graylog

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Kinesis and Graylog

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

HTTP and Graylog

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

SNMP and Graylog

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Modbus and Graylog

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

OPC UA and Graylog

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

MQTT and Graylog

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

gNMI and Graylog

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Fluentd and Graylog

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

OpenTelemetry and Graylog

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

AMQP and Graylog

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Amazon CloudWatch and Graylog

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Zipkin and Graylog

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

NATS and Graylog

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Kubernetes and Graylog

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

StatsD and Graylog

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Docker and Graylog

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Apache and Graylog

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Amazon ECS and Graylog

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

ActiveMQ and Graylog

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Google Cloud PubSub and Graylog

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Azure Event Hubs and Graylog

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Consul and Graylog

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Google Cloud Stackdriver and Graylog

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

AWS Data Firehose and Graylog

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Google Cloud Storage and Graylog

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

HAProxy and Graylog

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Jenkins and Graylog

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

LDAP and Graylog

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Nginx and Graylog

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Hashicorp Nomad and Graylog

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

OpenStack and Graylog

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Webhooks and Graylog

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Tail and Graylog

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Azure Monitor and Graylog

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

NSQ and Graylog

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

RabbitMQ and Graylog

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Salesforce and Graylog

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

SNMP Trap and Graylog

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Supervisor and Graylog

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Suricata and Graylog

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Syslog and Graylog

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Memcached and Graylog

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Mesos and Graylog

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Apache Zookeeper and Graylog

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Hashicorp Vault and Graylog

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

VMware vSphere and Graylog

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Ceph and Graylog

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

DNS and Graylog

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

ctrlX Data Layer and Graylog

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Nvidia SMI and Graylog

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Intel PowerStat and Graylog

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

iptables and Graylog

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

InfiniBand and Graylog

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Wireguard and Graylog

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Kibana and Graylog

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Cisco Model-Driven Telemetry and Graylog

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Fireboard and Graylog

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Icinga and Graylog

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

IPMI Sensor and Graylog

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

IPVS and Graylog

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

JTI OpenConfig Telemetry and Graylog

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Kernel and Graylog

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Apache Aurora and Graylog

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Azure Storage Queue and Graylog

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Arista LANZ and Graylog

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Phillips Hue Bridge and Graylog

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Netflow and Graylog

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

KNX and Graylog

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

ntpq and Graylog

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

MavLink and Graylog

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.

Kafka and IoTDB

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Kinesis and IoTDB

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

HTTP and IoTDB

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

SNMP and IoTDB

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Modbus and IoTDB

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

OPC UA and IoTDB

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

MQTT and IoTDB

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

gNMI and IoTDB

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Fluentd and IoTDB

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

OpenTelemetry and IoTDB

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

AMQP and IoTDB

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Amazon CloudWatch and IoTDB

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Zipkin and IoTDB

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

NATS and IoTDB

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Kubernetes and IoTDB

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

StatsD and IoTDB

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Docker and IoTDB

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Apache and IoTDB

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Amazon ECS and IoTDB

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

ActiveMQ and IoTDB

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Google Cloud PubSub and IoTDB

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Azure Event Hubs and IoTDB

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Consul and IoTDB

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Google Cloud Stackdriver and IoTDB

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

AWS Data Firehose and IoTDB

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Google Cloud Storage and IoTDB

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

HAProxy and IoTDB

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Jenkins and IoTDB

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

LDAP and IoTDB

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Nginx and IoTDB

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Hashicorp Nomad and IoTDB

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

OpenStack and IoTDB

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Webhooks and IoTDB

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Tail and IoTDB

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Azure Monitor and IoTDB

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

NSQ and IoTDB

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

RabbitMQ and IoTDB

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Salesforce and IoTDB

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

SNMP Trap and IoTDB

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Supervisor and IoTDB

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Suricata and IoTDB

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Syslog and IoTDB

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Memcached and IoTDB

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Mesos and IoTDB

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Apache Zookeeper and IoTDB

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Hashicorp Vault and IoTDB

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

VMware vSphere and IoTDB

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Ceph and IoTDB

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

DNS and IoTDB

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

ctrlX Data Layer and IoTDB

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Nvidia SMI and IoTDB

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Intel PowerStat and IoTDB

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

iptables and IoTDB

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

InfiniBand and IoTDB

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Wireguard and IoTDB

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Kibana and IoTDB

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Cisco Model-Driven Telemetry and IoTDB

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Fireboard and IoTDB

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Icinga and IoTDB

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

IPMI Sensor and IoTDB

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

IPVS and IoTDB

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

JTI OpenConfig Telemetry and IoTDB

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Kernel and IoTDB

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Apache Aurora and IoTDB

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Azure Storage Queue and IoTDB

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Arista LANZ and IoTDB

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Phillips Hue Bridge and IoTDB

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Netflow and IoTDB

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

KNX and IoTDB

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

ntpq and IoTDB

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

MavLink and IoTDB

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.

Kafka and New Relic

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Kinesis and New Relic

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

HTTP and New Relic

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

SNMP and New Relic

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Modbus and New Relic

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

OPC UA and New Relic

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

MQTT and New Relic

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

gNMI and New Relic

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Fluentd and New Relic

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

OpenTelemetry and New Relic

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

AMQP and New Relic

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Amazon CloudWatch and New Relic

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Zipkin and New Relic

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

NATS and New Relic

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Kubernetes and New Relic

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

StatsD and New Relic

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Docker and New Relic

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Apache and New Relic

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Amazon ECS and New Relic

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

ActiveMQ and New Relic

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Google Cloud PubSub and New Relic

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Azure Event Hubs and New Relic

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Consul and New Relic

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Google Cloud Stackdriver and New Relic

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

AWS Data Firehose and New Relic

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Google Cloud Storage and New Relic

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

HAProxy and New Relic

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Jenkins and New Relic

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

LDAP and New Relic

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Nginx and New Relic

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Hashicorp Nomad and New Relic

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

OpenStack and New Relic

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Webhooks and New Relic

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Tail and New Relic

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Azure Monitor and New Relic

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

NSQ and New Relic

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

RabbitMQ and New Relic

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Salesforce and New Relic

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

SNMP Trap and New Relic

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Supervisor and New Relic

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Suricata and New Relic

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Syslog and New Relic

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Memcached and New Relic

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Mesos and New Relic

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Apache Zookeeper and New Relic

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Hashicorp Vault and New Relic

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

VMware vSphere and New Relic

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Ceph and New Relic

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

DNS and New Relic

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

ctrlX Data Layer and New Relic

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Nvidia SMI and New Relic

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Intel PowerStat and New Relic

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

iptables and New Relic

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

InfiniBand and New Relic

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Wireguard and New Relic

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Kibana and New Relic

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Cisco Model-Driven Telemetry and New Relic

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Fireboard and New Relic

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Icinga and New Relic

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

IPMI Sensor and New Relic

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

IPVS and New Relic

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

JTI OpenConfig Telemetry and New Relic

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Kernel and New Relic

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Apache Aurora and New Relic

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Azure Storage Queue and New Relic

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Arista LANZ and New Relic

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Phillips Hue Bridge and New Relic

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Netflow and New Relic

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

KNX and New Relic

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

ntpq and New Relic

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

MavLink and New Relic

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.

Kafka and Sumo Logic

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Kinesis and Sumo Logic

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

HTTP and Sumo Logic

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

SNMP and Sumo Logic

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Modbus and Sumo Logic

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

OPC UA and Sumo Logic

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

MQTT and Sumo Logic

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

gNMI and Sumo Logic

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Fluentd and Sumo Logic

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

OpenTelemetry and Sumo Logic

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

AMQP and Sumo Logic

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Amazon CloudWatch and Sumo Logic

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Zipkin and Sumo Logic

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

NATS and Sumo Logic

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Kubernetes and Sumo Logic

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

StatsD and Sumo Logic

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Docker and Sumo Logic

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Apache and Sumo Logic

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Amazon ECS and Sumo Logic

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

ActiveMQ and Sumo Logic

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Google Cloud PubSub and Sumo Logic

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Azure Event Hubs and Sumo Logic

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Consul and Sumo Logic

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Google Cloud Stackdriver and Sumo Logic

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

AWS Data Firehose and Sumo Logic

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Google Cloud Storage and Sumo Logic

Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

HAProxy and Sumo Logic

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Jenkins and Sumo Logic

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

LDAP and Sumo Logic

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Nginx and Sumo Logic

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Hashicorp Nomad and Sumo Logic

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

OpenStack and Sumo Logic

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Webhooks and Sumo Logic

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Tail and Sumo Logic

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Azure Monitor and Sumo Logic

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

NSQ and Sumo Logic

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

RabbitMQ and Sumo Logic

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Salesforce and Sumo Logic

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

SNMP Trap and Sumo Logic

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Supervisor and Sumo Logic

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Suricata and Sumo Logic

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Syslog and Sumo Logic

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Memcached and Sumo Logic

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Mesos and Sumo Logic

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Apache Zookeeper and Sumo Logic

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Hashicorp Vault and Sumo Logic

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

VMware vSphere and Sumo Logic

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Ceph and Sumo Logic

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

DNS and Sumo Logic

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

ctrlX Data Layer and Sumo Logic

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Nvidia SMI and Sumo Logic

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Intel PowerStat and Sumo Logic

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

iptables and Sumo Logic

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

InfiniBand and Sumo Logic

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Wireguard and Sumo Logic

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Kibana and Sumo Logic

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Cisco Model-Driven Telemetry and Sumo Logic

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Fireboard and Sumo Logic

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Icinga and Sumo Logic

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

IPMI Sensor and Sumo Logic

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

IPVS and Sumo Logic

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

JTI OpenConfig Telemetry and Sumo Logic

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Kernel and Sumo Logic

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Apache Aurora and Sumo Logic

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Azure Storage Queue and Sumo Logic

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Arista LANZ and Sumo Logic

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Phillips Hue Bridge and Sumo Logic

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Netflow and Sumo Logic

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

KNX and Sumo Logic

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

ntpq and Sumo Logic

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

MavLink and Sumo Logic

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.

Kafka and AWS Timestream

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Kinesis and AWS Timestream

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

HTTP and AWS Timestream

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

SNMP and AWS Timestream

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Modbus and AWS Timestream

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

OPC UA and AWS Timestream

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

MQTT and AWS Timestream

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

gNMI and AWS Timestream

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Fluentd and AWS Timestream

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

OpenTelemetry and AWS Timestream

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

AMQP and AWS Timestream

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Amazon CloudWatch and AWS Timestream

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Zipkin and AWS Timestream

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

NATS and AWS Timestream

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Kubernetes and AWS Timestream

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

StatsD and AWS Timestream

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Docker and AWS Timestream

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Apache and AWS Timestream

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Amazon ECS and AWS Timestream

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

ActiveMQ and AWS Timestream

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Google Cloud PubSub and AWS Timestream

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Azure Event Hubs and AWS Timestream

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Consul and AWS Timestream

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Google Cloud Stackdriver and AWS Timestream

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

AWS Data Firehose and AWS Timestream

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Google Cloud Storage and AWS Timestream

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

HAProxy and AWS Timestream

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Jenkins and AWS Timestream

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

LDAP and AWS Timestream

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Nginx and AWS Timestream

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Hashicorp Nomad and AWS Timestream

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

OpenStack and AWS Timestream

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Webhooks and AWS Timestream

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Tail and AWS Timestream

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Azure Monitor and AWS Timestream

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

NSQ and AWS Timestream

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

RabbitMQ and AWS Timestream

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Salesforce and AWS Timestream

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

SNMP Trap and AWS Timestream

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Supervisor and AWS Timestream

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Suricata and AWS Timestream

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Syslog and AWS Timestream

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Memcached and AWS Timestream

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Mesos and AWS Timestream

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Apache Zookeeper and AWS Timestream

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Hashicorp Vault and AWS Timestream

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

VMware vSphere and AWS Timestream

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Ceph and AWS Timestream

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

DNS and AWS Timestream

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

ctrlX Data Layer and AWS Timestream

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Nvidia SMI and AWS Timestream

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Intel PowerStat and AWS Timestream

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

iptables and AWS Timestream

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

InfiniBand and AWS Timestream

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Wireguard and AWS Timestream

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Kibana and AWS Timestream

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Cisco Model-Driven Telemetry and AWS Timestream

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Fireboard and AWS Timestream

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Icinga and AWS Timestream

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

IPMI Sensor and AWS Timestream

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

IPVS and AWS Timestream

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

JTI OpenConfig Telemetry and AWS Timestream

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Kernel and AWS Timestream

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Apache Aurora and AWS Timestream

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Azure Storage Queue and AWS Timestream

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Arista LANZ and AWS Timestream

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Phillips Hue Bridge and AWS Timestream

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Netflow and AWS Timestream

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

KNX and AWS Timestream

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

ntpq and AWS Timestream

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

MavLink and AWS Timestream

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.

Kafka and Splunk

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Kinesis and Splunk

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

HTTP and Splunk

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

SNMP and Splunk

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Modbus and Splunk

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

OPC UA and Splunk

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

MQTT and Splunk

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

gNMI and Splunk

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Fluentd and Splunk

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

OpenTelemetry and Splunk

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

AMQP and Splunk

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Amazon CloudWatch and Splunk

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Zipkin and Splunk

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

NATS and Splunk

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Kubernetes and Splunk

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

StatsD and Splunk

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Docker and Splunk

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Apache and Splunk

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Amazon ECS and Splunk

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

ActiveMQ and Splunk

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Google Cloud PubSub and Splunk

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Azure Event Hubs and Splunk

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Consul and Splunk

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Google Cloud Stackdriver and Splunk

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

AWS Data Firehose and Splunk

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Google Cloud Storage and Splunk

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

HAProxy and Splunk

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Jenkins and Splunk

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

LDAP and Splunk

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Nginx and Splunk

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Hashicorp Nomad and Splunk

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

OpenStack and Splunk

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Webhooks and Splunk

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Tail and Splunk

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Azure Monitor and Splunk

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

NSQ and Splunk

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

RabbitMQ and Splunk

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Salesforce and Splunk

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

SNMP Trap and Splunk

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Supervisor and Splunk

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Suricata and Splunk

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Syslog and Splunk

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Memcached and Splunk

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Mesos and Splunk

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Apache Zookeeper and Splunk

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Hashicorp Vault and Splunk

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

VMware vSphere and Splunk

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Ceph and Splunk

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

DNS and Splunk

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

ctrlX Data Layer and Splunk

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Nvidia SMI and Splunk

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Intel PowerStat and Splunk

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

iptables and Splunk

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

InfiniBand and Splunk

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Wireguard and Splunk

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Kibana and Splunk

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Cisco Model-Driven Telemetry and Splunk

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Fireboard and Splunk

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Icinga and Splunk

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

IPMI Sensor and Splunk

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

IPVS and Splunk

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

JTI OpenConfig Telemetry and Splunk

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Kernel and Splunk

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Apache Aurora and Splunk

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Azure Storage Queue and Splunk

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Arista LANZ and Splunk

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Phillips Hue Bridge and Splunk

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Netflow and Splunk

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

KNX and Splunk

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

ntpq and Splunk

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

MavLink and Splunk

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.

Kafka and TimescaleDB

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Kinesis and TimescaleDB

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

HTTP and TimescaleDB

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

SNMP and TimescaleDB

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Modbus and TimescaleDB

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

OPC UA and TimescaleDB

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

MQTT and TimescaleDB

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

gNMI and TimescaleDB

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Fluentd and TimescaleDB

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

OpenTelemetry and TimescaleDB

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

AMQP and TimescaleDB

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Amazon CloudWatch and TimescaleDB

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Zipkin and TimescaleDB

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

NATS and TimescaleDB

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Kubernetes and TimescaleDB

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

StatsD and TimescaleDB

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Docker and TimescaleDB

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Apache and TimescaleDB

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Amazon ECS and TimescaleDB

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

ActiveMQ and TimescaleDB

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Google Cloud PubSub and TimescaleDB

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Azure Event Hubs and TimescaleDB

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Consul and TimescaleDB

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Google Cloud Stackdriver and TimescaleDB

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

AWS Data Firehose and TimescaleDB

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Google Cloud Storage and TimescaleDB

Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

HAProxy and TimescaleDB

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Jenkins and TimescaleDB

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

LDAP and TimescaleDB

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Nginx and TimescaleDB

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Hashicorp Nomad and TimescaleDB

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

OpenStack and TimescaleDB

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Webhooks and TimescaleDB

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Tail and TimescaleDB

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Azure Monitor and TimescaleDB

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

NSQ and TimescaleDB

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

RabbitMQ and TimescaleDB

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Salesforce and TimescaleDB

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

SNMP Trap and TimescaleDB

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Supervisor and TimescaleDB

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Suricata and TimescaleDB

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Syslog and TimescaleDB

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Memcached and TimescaleDB

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Mesos and TimescaleDB

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Apache Zookeeper and TimescaleDB

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Hashicorp Vault and TimescaleDB

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

VMware vSphere and TimescaleDB

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Ceph and TimescaleDB

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

DNS and TimescaleDB

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

ctrlX Data Layer and TimescaleDB

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Nvidia SMI and TimescaleDB

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Intel PowerStat and TimescaleDB

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

iptables and TimescaleDB

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

InfiniBand and TimescaleDB

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Wireguard and TimescaleDB

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Kibana and TimescaleDB

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Cisco Model-Driven Telemetry and TimescaleDB

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Fireboard and TimescaleDB

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Icinga and TimescaleDB

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

IPMI Sensor and TimescaleDB

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

IPVS and TimescaleDB

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

JTI OpenConfig Telemetry and TimescaleDB

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Kernel and TimescaleDB

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Apache Aurora and TimescaleDB

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Azure Storage Queue and TimescaleDB

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Arista LANZ and TimescaleDB

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Phillips Hue Bridge and TimescaleDB

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Netflow and TimescaleDB

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

KNX and TimescaleDB

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

ntpq and TimescaleDB

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

MavLink and TimescaleDB

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.

Kafka and Mimir

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Kinesis and Mimir

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

HTTP and Mimir

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

SNMP and Mimir

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Modbus and Mimir

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

OPC UA and Mimir

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

MQTT and Mimir

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

gNMI and Mimir

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Fluentd and Mimir

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

OpenTelemetry and Mimir

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

AMQP and Mimir

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Amazon CloudWatch and Mimir

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Zipkin and Mimir

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

NATS and Mimir

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Kubernetes and Mimir

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

StatsD and Mimir

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Docker and Mimir

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Apache and Mimir

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Amazon ECS and Mimir

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

ActiveMQ and Mimir

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Google Cloud PubSub and Mimir

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Azure Event Hubs and Mimir

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Consul and Mimir

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Google Cloud Stackdriver and Mimir

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

AWS Data Firehose and Mimir

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Google Cloud Storage and Mimir

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

HAProxy and Mimir

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Jenkins and Mimir

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

LDAP and Mimir

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Nginx and Mimir

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Hashicorp Nomad and Mimir

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

OpenStack and Mimir

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Webhooks and Mimir

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Tail and Mimir

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Azure Monitor and Mimir

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

NSQ and Mimir

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

RabbitMQ and Mimir

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Salesforce and Mimir

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

SNMP Trap and Mimir

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Supervisor and Mimir

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Suricata and Mimir

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Syslog and Mimir

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Memcached and Mimir

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Mesos and Mimir

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Apache Zookeeper and Mimir

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Hashicorp Vault and Mimir

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

VMware vSphere and Mimir

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Ceph and Mimir

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

DNS and Mimir

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

ctrlX Data Layer and Mimir

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Nvidia SMI and Mimir

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Intel PowerStat and Mimir

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

iptables and Mimir

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

InfiniBand and Mimir

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Wireguard and Mimir

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Kibana and Mimir

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Cisco Model-Driven Telemetry and Mimir

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Fireboard and Mimir

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Icinga and Mimir

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

IPMI Sensor and Mimir

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

IPVS and Mimir

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

JTI OpenConfig Telemetry and Mimir

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Kernel and Mimir

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Apache Aurora and Mimir

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Azure Storage Queue and Mimir

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Arista LANZ and Mimir

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Phillips Hue Bridge and Mimir

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Netflow and Mimir

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

KNX and Mimir

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

ntpq and Mimir

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

MavLink and Mimir

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.

Kafka and VictoriaMetrics

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Kinesis and VictoriaMetrics

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

HTTP and VictoriaMetrics

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

SNMP and VictoriaMetrics

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Modbus and VictoriaMetrics

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

OPC UA and VictoriaMetrics

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

MQTT and VictoriaMetrics

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

gNMI and VictoriaMetrics

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Fluentd and VictoriaMetrics

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

OpenTelemetry and VictoriaMetrics

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

AMQP and VictoriaMetrics

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Amazon CloudWatch and VictoriaMetrics

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Zipkin and VictoriaMetrics

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

NATS and VictoriaMetrics

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Kubernetes and VictoriaMetrics

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

StatsD and VictoriaMetrics

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Docker and VictoriaMetrics

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Apache and VictoriaMetrics

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Amazon ECS and VictoriaMetrics

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

ActiveMQ and VictoriaMetrics

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Google Cloud PubSub and VictoriaMetrics

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Azure Event Hubs and VictoriaMetrics

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Consul and VictoriaMetrics

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Google Cloud Stackdriver and VictoriaMetrics

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

AWS Data Firehose and VictoriaMetrics

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Google Cloud Storage and VictoriaMetrics

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

HAProxy and VictoriaMetrics

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Jenkins and VictoriaMetrics

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

LDAP and VictoriaMetrics

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Nginx and VictoriaMetrics

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Hashicorp Nomad and VictoriaMetrics

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

OpenStack and VictoriaMetrics

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Webhooks and VictoriaMetrics

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Tail and VictoriaMetrics

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Azure Monitor and VictoriaMetrics

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

NSQ and VictoriaMetrics

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

RabbitMQ and VictoriaMetrics

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Salesforce and VictoriaMetrics

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

SNMP Trap and VictoriaMetrics

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Supervisor and VictoriaMetrics

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Suricata and VictoriaMetrics

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Syslog and VictoriaMetrics

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Memcached and VictoriaMetrics

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Mesos and VictoriaMetrics

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Apache Zookeeper and VictoriaMetrics

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Hashicorp Vault and VictoriaMetrics

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

VMware vSphere and VictoriaMetrics

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Ceph and VictoriaMetrics

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

DNS and VictoriaMetrics

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

ctrlX Data Layer and VictoriaMetrics

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Nvidia SMI and VictoriaMetrics

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Intel PowerStat and VictoriaMetrics

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

iptables and VictoriaMetrics

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

InfiniBand and VictoriaMetrics

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Wireguard and VictoriaMetrics

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Kibana and VictoriaMetrics

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Cisco Model-Driven Telemetry and VictoriaMetrics

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Fireboard and VictoriaMetrics

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Icinga and VictoriaMetrics

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

IPMI Sensor and VictoriaMetrics

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

IPVS and VictoriaMetrics

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

JTI OpenConfig Telemetry and VictoriaMetrics

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Kernel and VictoriaMetrics

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Apache Aurora and VictoriaMetrics

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Azure Storage Queue and VictoriaMetrics

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Arista LANZ and VictoriaMetrics

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Phillips Hue Bridge and VictoriaMetrics

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Netflow and VictoriaMetrics

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

KNX and VictoriaMetrics

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

ntpq and VictoriaMetrics

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

MavLink and VictoriaMetrics

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.

Kafka and ServiceNow

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Kinesis and ServiceNow

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

HTTP and ServiceNow

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

SNMP and ServiceNow

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Modbus and ServiceNow

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

OPC UA and ServiceNow

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

MQTT and ServiceNow

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

gNMI and ServiceNow

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Fluentd and ServiceNow

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

OpenTelemetry and ServiceNow

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

AMQP and ServiceNow

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Amazon CloudWatch and ServiceNow

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Zipkin and ServiceNow

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

NATS and ServiceNow

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Kubernetes and ServiceNow

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

StatsD and ServiceNow

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Docker and ServiceNow

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Apache and ServiceNow

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Amazon ECS and ServiceNow

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

ActiveMQ and ServiceNow

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Google Cloud PubSub and ServiceNow

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Azure Event Hubs and ServiceNow

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Consul and ServiceNow

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Google Cloud Stackdriver and ServiceNow

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

AWS Data Firehose and ServiceNow

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Google Cloud Storage and ServiceNow

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

HAProxy and ServiceNow

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Jenkins and ServiceNow

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

LDAP and ServiceNow

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Nginx and ServiceNow

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Hashicorp Nomad and ServiceNow

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

OpenStack and ServiceNow

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Webhooks and ServiceNow

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Tail and ServiceNow

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Azure Monitor and ServiceNow

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

NSQ and ServiceNow

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

RabbitMQ and ServiceNow

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Salesforce and ServiceNow

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

SNMP Trap and ServiceNow

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Supervisor and ServiceNow

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Suricata and ServiceNow

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Syslog and ServiceNow

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Memcached and ServiceNow

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Mesos and ServiceNow

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Apache Zookeeper and ServiceNow

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Hashicorp Vault and ServiceNow

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

VMware vSphere and ServiceNow

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Ceph and ServiceNow

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

DNS and ServiceNow

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

ctrlX Data Layer and ServiceNow

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Nvidia SMI and ServiceNow

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Intel PowerStat and ServiceNow

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

iptables and ServiceNow

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

InfiniBand and ServiceNow

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Wireguard and ServiceNow

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Kibana and ServiceNow

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Cisco Model-Driven Telemetry and ServiceNow

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Fireboard and ServiceNow

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Icinga and ServiceNow

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

IPMI Sensor and ServiceNow

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

IPVS and ServiceNow

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

JTI OpenConfig Telemetry and ServiceNow

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Kernel and ServiceNow

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Apache Aurora and ServiceNow

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Azure Storage Queue and ServiceNow

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Arista LANZ and ServiceNow

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Phillips Hue Bridge and ServiceNow

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Netflow and ServiceNow

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

KNX and ServiceNow

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

ntpq and ServiceNow

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

MavLink and ServiceNow

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Streams Telegraf metrics directly into ServiceNow via HTTP, ideal for advanced monitoring and operational intelligence integrations.

Kafka and Grafana

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Kinesis and Grafana

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

HTTP and Grafana

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

SNMP and Grafana

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Modbus and Grafana

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

OPC UA and Grafana

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

MQTT and Grafana

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

gNMI and Grafana

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Fluentd and Grafana

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

OpenTelemetry and Grafana

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

AMQP and Grafana

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Amazon CloudWatch and Grafana

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Zipkin and Grafana

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

NATS and Grafana

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Kubernetes and Grafana

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

StatsD and Grafana

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Docker and Grafana

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Apache and Grafana

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Amazon ECS and Grafana

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

ActiveMQ and Grafana

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Google Cloud PubSub and Grafana

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Azure Event Hubs and Grafana

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Consul and Grafana

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Google Cloud Stackdriver and Grafana

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

AWS Data Firehose and Grafana

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Google Cloud Storage and Grafana

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

HAProxy and Grafana

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Jenkins and Grafana

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

LDAP and Grafana

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Nginx and Grafana

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Hashicorp Nomad and Grafana

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

OpenStack and Grafana

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Webhooks and Grafana

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Tail and Grafana

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Azure Monitor and Grafana

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

NSQ and Grafana

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

RabbitMQ and Grafana

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Salesforce and Grafana

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

SNMP Trap and Grafana

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Supervisor and Grafana

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Suricata and Grafana

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Syslog and Grafana

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Memcached and Grafana

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Mesos and Grafana

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Apache Zookeeper and Grafana

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Hashicorp Vault and Grafana

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

VMware vSphere and Grafana

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Ceph and Grafana

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

DNS and Grafana

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

ctrlX Data Layer and Grafana

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Nvidia SMI and Grafana

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Intel PowerStat and Grafana

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

iptables and Grafana

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

InfiniBand and Grafana

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Wireguard and Grafana

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Kibana and Grafana

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Cisco Model-Driven Telemetry and Grafana

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Fireboard and Grafana

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Icinga and Grafana

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

IPMI Sensor and Grafana

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

IPVS and Grafana

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

JTI OpenConfig Telemetry and Grafana

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Kernel and Grafana

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Apache Aurora and Grafana

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Azure Storage Queue and Grafana

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Arista LANZ and Grafana

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Phillips Hue Bridge and Grafana

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Netflow and Grafana

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

KNX and Grafana

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

ntpq and Grafana

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

MavLink and Grafana

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Streams Telegraf metrics directly into Grafana dashboards via Websocket for real-time data visualization. Ideal for interactive monitoring and live analytics.

Kafka and MariaDB

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Kinesis and MariaDB

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

HTTP and MariaDB

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

SNMP and MariaDB

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Modbus and MariaDB

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

OPC UA and MariaDB

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

MQTT and MariaDB

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

gNMI and MariaDB

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Fluentd and MariaDB

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

OpenTelemetry and MariaDB

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

AMQP and MariaDB

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Amazon CloudWatch and MariaDB

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Zipkin and MariaDB

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

NATS and MariaDB

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Kubernetes and MariaDB

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

StatsD and MariaDB

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Docker and MariaDB

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Apache and MariaDB

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Amazon ECS and MariaDB

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

ActiveMQ and MariaDB

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Google Cloud PubSub and MariaDB

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Azure Event Hubs and MariaDB

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Consul and MariaDB

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Google Cloud Stackdriver and MariaDB

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

AWS Data Firehose and MariaDB

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Google Cloud Storage and MariaDB

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

HAProxy and MariaDB

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Jenkins and MariaDB

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

LDAP and MariaDB

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Nginx and MariaDB

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Hashicorp Nomad and MariaDB

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

OpenStack and MariaDB

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Webhooks and MariaDB

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Tail and MariaDB

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Azure Monitor and MariaDB

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

NSQ and MariaDB

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

RabbitMQ and MariaDB

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Salesforce and MariaDB

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

SNMP Trap and MariaDB

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Supervisor and MariaDB

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Suricata and MariaDB

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Syslog and MariaDB

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Memcached and MariaDB

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Mesos and MariaDB

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Apache Zookeeper and MariaDB

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Hashicorp Vault and MariaDB

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

VMware vSphere and MariaDB

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Ceph and MariaDB

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

DNS and MariaDB

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

ctrlX Data Layer and MariaDB

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Nvidia SMI and MariaDB

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Intel PowerStat and MariaDB

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

iptables and MariaDB

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

InfiniBand and MariaDB

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Wireguard and MariaDB

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Kibana and MariaDB

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Cisco Model-Driven Telemetry and MariaDB

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Fireboard and MariaDB

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Icinga and MariaDB

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

IPMI Sensor and MariaDB

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

IPVS and MariaDB

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

JTI OpenConfig Telemetry and MariaDB

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Kernel and MariaDB

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Apache Aurora and MariaDB

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Azure Storage Queue and MariaDB

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Arista LANZ and MariaDB

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Phillips Hue Bridge and MariaDB

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Netflow and MariaDB

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

KNX and MariaDB

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

ntpq and MariaDB

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

MavLink and MariaDB

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Send Telegraf metrics to MariaDB via the SQL output plugin. Ideal for structured, relational storage and SQL-based analysis.

Kafka and Thanos

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Kinesis and Thanos

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

HTTP and Thanos

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

SNMP and Thanos

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Modbus and Thanos

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

OPC UA and Thanos

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

MQTT and Thanos

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

gNMI and Thanos

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Fluentd and Thanos

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

OpenTelemetry and Thanos

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

AMQP and Thanos

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Amazon CloudWatch and Thanos

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Zipkin and Thanos

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

NATS and Thanos

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Kubernetes and Thanos

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

StatsD and Thanos

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Docker and Thanos

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Apache and Thanos

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Amazon ECS and Thanos

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

ActiveMQ and Thanos

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Google Cloud PubSub and Thanos

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Azure Event Hubs and Thanos

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Consul and Thanos

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Google Cloud Stackdriver and Thanos

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

AWS Data Firehose and Thanos

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Google Cloud Storage and Thanos

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

HAProxy and Thanos

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Jenkins and Thanos

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

LDAP and Thanos

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Nginx and Thanos

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Hashicorp Nomad and Thanos

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

OpenStack and Thanos

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Webhooks and Thanos

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Tail and Thanos

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Azure Monitor and Thanos

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

NSQ and Thanos

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

RabbitMQ and Thanos

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Salesforce and Thanos

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

SNMP Trap and Thanos

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Supervisor and Thanos

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Suricata and Thanos

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Syslog and Thanos

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Memcached and Thanos

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Mesos and Thanos

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Apache Zookeeper and Thanos

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Hashicorp Vault and Thanos

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

VMware vSphere and Thanos

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Ceph and Thanos

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

DNS and Thanos

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

ctrlX Data Layer and Thanos

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Nvidia SMI and Thanos

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Intel PowerStat and Thanos

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

iptables and Thanos

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

InfiniBand and Thanos

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Wireguard and Thanos

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Kibana and Thanos

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Cisco Model-Driven Telemetry and Thanos

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Fireboard and Thanos

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Icinga and Thanos

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

IPMI Sensor and Thanos

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

IPVS and Thanos

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

JTI OpenConfig Telemetry and Thanos

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Kernel and Thanos

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Apache Aurora and Thanos

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Azure Storage Queue and Thanos

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Arista LANZ and Thanos

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Phillips Hue Bridge and Thanos

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Netflow and Thanos

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

KNX and Thanos

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

ntpq and Thanos

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

MavLink and Thanos

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Stream Telegraf metrics to Thanos via Prometheus remote write format using HTTP. Ideal for high-throughput, scalable observability pipelines.

Kafka and Cortex

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Kinesis and Cortex

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

HTTP and Cortex

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

SNMP and Cortex

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Modbus and Cortex

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

OPC UA and Cortex

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

MQTT and Cortex

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

gNMI and Cortex

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Fluentd and Cortex

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

OpenTelemetry and Cortex

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

AMQP and Cortex

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Amazon CloudWatch and Cortex

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Zipkin and Cortex

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

NATS and Cortex

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Kubernetes and Cortex

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

StatsD and Cortex

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Docker and Cortex

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Apache and Cortex

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Amazon ECS and Cortex

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

ActiveMQ and Cortex

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Google Cloud PubSub and Cortex

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Azure Event Hubs and Cortex

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Consul and Cortex

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Google Cloud Stackdriver and Cortex

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

AWS Data Firehose and Cortex

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Google Cloud Storage and Cortex

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

HAProxy and Cortex

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Jenkins and Cortex

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

LDAP and Cortex

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Nginx and Cortex

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Hashicorp Nomad and Cortex

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

OpenStack and Cortex

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Webhooks and Cortex

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Tail and Cortex

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Azure Monitor and Cortex

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

NSQ and Cortex

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

RabbitMQ and Cortex

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Salesforce and Cortex

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

SNMP Trap and Cortex

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Supervisor and Cortex

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Suricata and Cortex

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Syslog and Cortex

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Memcached and Cortex

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Mesos and Cortex

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Apache Zookeeper and Cortex

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Hashicorp Vault and Cortex

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

VMware vSphere and Cortex

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Ceph and Cortex

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

DNS and Cortex

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

ctrlX Data Layer and Cortex

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Nvidia SMI and Cortex

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Intel PowerStat and Cortex

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

iptables and Cortex

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

InfiniBand and Cortex

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Wireguard and Cortex

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Kibana and Cortex

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Cisco Model-Driven Telemetry and Cortex

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Fireboard and Cortex

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Icinga and Cortex

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

IPMI Sensor and Cortex

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

IPVS and Cortex

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

JTI OpenConfig Telemetry and Cortex

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Kernel and Cortex

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Apache Aurora and Cortex

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Azure Storage Queue and Cortex

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Arista LANZ and Cortex

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Phillips Hue Bridge and Cortex

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Netflow and Cortex

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

KNX and Cortex

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

ntpq and Cortex

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

MavLink and Cortex

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Streams metrics to Cortex using Prometheus remote write over HTTP. A powerful solution for scalable, multi-tenant observability systems.

Kafka and M3DB

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Kinesis and M3DB

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

HTTP and M3DB

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

SNMP and M3DB

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Modbus and M3DB

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

OPC UA and M3DB

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

MQTT and M3DB

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

gNMI and M3DB

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Fluentd and M3DB

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

OpenTelemetry and M3DB

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

AMQP and M3DB

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Amazon CloudWatch and M3DB

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Zipkin and M3DB

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

NATS and M3DB

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Kubernetes and M3DB

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

StatsD and M3DB

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Docker and M3DB

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Apache and M3DB

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Amazon ECS and M3DB

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

ActiveMQ and M3DB

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Google Cloud PubSub and M3DB

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Azure Event Hubs and M3DB

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Consul and M3DB

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Google Cloud Stackdriver and M3DB

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

AWS Data Firehose and M3DB

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Google Cloud Storage and M3DB

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

HAProxy and M3DB

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Jenkins and M3DB

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

LDAP and M3DB

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Nginx and M3DB

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Hashicorp Nomad and M3DB

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

OpenStack and M3DB

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Webhooks and M3DB

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Tail and M3DB

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Azure Monitor and M3DB

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

NSQ and M3DB

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

RabbitMQ and M3DB

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Salesforce and M3DB

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

SNMP Trap and M3DB

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Supervisor and M3DB

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Suricata and M3DB

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Syslog and M3DB

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Memcached and M3DB

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Mesos and M3DB

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Apache Zookeeper and M3DB

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Hashicorp Vault and M3DB

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

VMware vSphere and M3DB

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Ceph and M3DB

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

DNS and M3DB

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

ctrlX Data Layer and M3DB

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Nvidia SMI and M3DB

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Intel PowerStat and M3DB

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

iptables and M3DB

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

InfiniBand and M3DB

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Wireguard and M3DB

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Kibana and M3DB

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Cisco Model-Driven Telemetry and M3DB

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Fireboard and M3DB

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Icinga and M3DB

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

IPMI Sensor and M3DB

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

IPVS and M3DB

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

JTI OpenConfig Telemetry and M3DB

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Kernel and M3DB

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Apache Aurora and M3DB

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Azure Storage Queue and M3DB

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Arista LANZ and M3DB

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Phillips Hue Bridge and M3DB

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Netflow and M3DB

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

KNX and M3DB

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

ntpq and M3DB

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

MavLink and M3DB

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Sends Telegraf metrics to M3DB via Prometheus Remote Write. Ideal for scalable, high-throughput observability pipelines using M3.

Kafka and CrateDB

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Kinesis and CrateDB

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

HTTP and CrateDB

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

SNMP and CrateDB

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Modbus and CrateDB

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

OPC UA and CrateDB

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

MQTT and CrateDB

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

gNMI and CrateDB

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Fluentd and CrateDB

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

OpenTelemetry and CrateDB

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

AMQP and CrateDB

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Amazon CloudWatch and CrateDB

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Zipkin and CrateDB

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

NATS and CrateDB

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Kubernetes and CrateDB

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

StatsD and CrateDB

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Docker and CrateDB

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Apache and CrateDB

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Amazon ECS and CrateDB

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

ActiveMQ and CrateDB

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Google Cloud PubSub and CrateDB

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Azure Event Hubs and CrateDB

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Consul and CrateDB

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Google Cloud Stackdriver and CrateDB

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

AWS Data Firehose and CrateDB

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Google Cloud Storage and CrateDB

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

HAProxy and CrateDB

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Jenkins and CrateDB

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

LDAP and CrateDB

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Nginx and CrateDB

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Hashicorp Nomad and CrateDB

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

OpenStack and CrateDB

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Webhooks and CrateDB

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Tail and CrateDB

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Azure Monitor and CrateDB

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

NSQ and CrateDB

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

RabbitMQ and CrateDB

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Salesforce and CrateDB

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

SNMP Trap and CrateDB

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Supervisor and CrateDB

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Suricata and CrateDB

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Syslog and CrateDB

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Memcached and CrateDB

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Mesos and CrateDB

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Apache Zookeeper and CrateDB

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Hashicorp Vault and CrateDB

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

VMware vSphere and CrateDB

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Ceph and CrateDB

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

DNS and CrateDB

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

ctrlX Data Layer and CrateDB

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Nvidia SMI and CrateDB

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Intel PowerStat and CrateDB

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

iptables and CrateDB

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

InfiniBand and CrateDB

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Wireguard and CrateDB

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Kibana and CrateDB

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Cisco Model-Driven Telemetry and CrateDB

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Fireboard and CrateDB

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Icinga and CrateDB

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

IPMI Sensor and CrateDB

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

IPVS and CrateDB

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

JTI OpenConfig Telemetry and CrateDB

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Kernel and CrateDB

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Apache Aurora and CrateDB

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Azure Storage Queue and CrateDB

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Arista LANZ and CrateDB

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Phillips Hue Bridge and CrateDB

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Netflow and CrateDB

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

KNX and CrateDB

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

ntpq and CrateDB

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

MavLink and CrateDB

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The CrateDB plugin allows users to write metrics data to a CrateDB instance through its PostgreSQL protocol. This enables efficient handling of time series data and other complex queries, making it suitable for high-speed analytics.

Kafka and Parquet

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Kinesis and Parquet

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

HTTP and Parquet

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

SNMP and Parquet

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Modbus and Parquet

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

OPC UA and Parquet

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

MQTT and Parquet

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

gNMI and Parquet

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Fluentd and Parquet

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

OpenTelemetry and Parquet

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

AMQP and Parquet

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Amazon CloudWatch and Parquet

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Zipkin and Parquet

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

NATS and Parquet

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Kubernetes and Parquet

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

StatsD and Parquet

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Docker and Parquet

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Apache and Parquet

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Amazon ECS and Parquet

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

ActiveMQ and Parquet

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Google Cloud PubSub and Parquet

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Azure Event Hubs and Parquet

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Consul and Parquet

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Google Cloud Stackdriver and Parquet

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

AWS Data Firehose and Parquet

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Google Cloud Storage and Parquet

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

HAProxy and Parquet

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Jenkins and Parquet

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

LDAP and Parquet

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Nginx and Parquet

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Hashicorp Nomad and Parquet

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

OpenStack and Parquet

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Webhooks and Parquet

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Tail and Parquet

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Azure Monitor and Parquet

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

NSQ and Parquet

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

RabbitMQ and Parquet

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Salesforce and Parquet

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

SNMP Trap and Parquet

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Supervisor and Parquet

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Suricata and Parquet

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Syslog and Parquet

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Memcached and Parquet

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Mesos and Parquet

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Apache Zookeeper and Parquet

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Hashicorp Vault and Parquet

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

VMware vSphere and Parquet

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Ceph and Parquet

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

DNS and Parquet

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

ctrlX Data Layer and Parquet

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Nvidia SMI and Parquet

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Intel PowerStat and Parquet

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

iptables and Parquet

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

InfiniBand and Parquet

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Wireguard and Parquet

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Kibana and Parquet

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Cisco Model-Driven Telemetry and Parquet

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Fireboard and Parquet

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Icinga and Parquet

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

IPMI Sensor and Parquet

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

IPVS and Parquet

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

JTI OpenConfig Telemetry and Parquet

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Kernel and Parquet

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Apache Aurora and Parquet

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Azure Storage Queue and Parquet

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Arista LANZ and Parquet

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Phillips Hue Bridge and Parquet

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Netflow and Parquet

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

KNX and Parquet

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

ntpq and Parquet

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

MavLink and Parquet

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The Parquet plugin allows users to write metrics efficiently to parquet files, leveraging the columnar format for analytics. It automatically handles schema generation and supports time-based file rotation.

Kafka and Azure Application Insights

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Kinesis and Azure Application Insights

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

HTTP and Azure Application Insights

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

SNMP and Azure Application Insights

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Modbus and Azure Application Insights

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

OPC UA and Azure Application Insights

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

MQTT and Azure Application Insights

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

gNMI and Azure Application Insights

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Fluentd and Azure Application Insights

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

OpenTelemetry and Azure Application Insights

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

AMQP and Azure Application Insights

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Amazon CloudWatch and Azure Application Insights

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Zipkin and Azure Application Insights

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

NATS and Azure Application Insights

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Kubernetes and Azure Application Insights

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

StatsD and Azure Application Insights

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Docker and Azure Application Insights

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Apache and Azure Application Insights

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Amazon ECS and Azure Application Insights

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

ActiveMQ and Azure Application Insights

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Google Cloud PubSub and Azure Application Insights

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Azure Event Hubs and Azure Application Insights

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Consul and Azure Application Insights

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Google Cloud Stackdriver and Azure Application Insights

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

AWS Data Firehose and Azure Application Insights

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Google Cloud Storage and Azure Application Insights

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

HAProxy and Azure Application Insights

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Jenkins and Azure Application Insights

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

LDAP and Azure Application Insights

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Nginx and Azure Application Insights

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Hashicorp Nomad and Azure Application Insights

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

OpenStack and Azure Application Insights

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Webhooks and Azure Application Insights

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Tail and Azure Application Insights

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Azure Monitor and Azure Application Insights

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

NSQ and Azure Application Insights

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

RabbitMQ and Azure Application Insights

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Salesforce and Azure Application Insights

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

SNMP Trap and Azure Application Insights

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Supervisor and Azure Application Insights

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Suricata and Azure Application Insights

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Syslog and Azure Application Insights

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Memcached and Azure Application Insights

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Mesos and Azure Application Insights

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Apache Zookeeper and Azure Application Insights

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Hashicorp Vault and Azure Application Insights

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

VMware vSphere and Azure Application Insights

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Ceph and Azure Application Insights

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

DNS and Azure Application Insights

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

ctrlX Data Layer and Azure Application Insights

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Nvidia SMI and Azure Application Insights

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Intel PowerStat and Azure Application Insights

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

iptables and Azure Application Insights

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

InfiniBand and Azure Application Insights

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Wireguard and Azure Application Insights

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Kibana and Azure Application Insights

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Cisco Model-Driven Telemetry and Azure Application Insights

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Fireboard and Azure Application Insights

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Icinga and Azure Application Insights

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

IPMI Sensor and Azure Application Insights

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

IPVS and Azure Application Insights

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

JTI OpenConfig Telemetry and Azure Application Insights

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Kernel and Azure Application Insights

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Apache Aurora and Azure Application Insights

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Azure Storage Queue and Azure Application Insights

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Arista LANZ and Azure Application Insights

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Phillips Hue Bridge and Azure Application Insights

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Netflow and Azure Application Insights

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

KNX and Azure Application Insights

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

ntpq and Azure Application Insights

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

MavLink and Azure Application Insights

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The Azure Application Insights plugin enables users to send metrics from Telegraf directly to Azure Application Insights, improving application observability. It includes features for context tagging and diagnostics, making it a versatile tool for performance management.

Kafka and Clarify

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Kinesis and Clarify

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

HTTP and Clarify

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

SNMP and Clarify

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Modbus and Clarify

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

OPC UA and Clarify

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

MQTT and Clarify

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

gNMI and Clarify

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Fluentd and Clarify

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

OpenTelemetry and Clarify

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

AMQP and Clarify

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Amazon CloudWatch and Clarify

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Zipkin and Clarify

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

NATS and Clarify

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Kubernetes and Clarify

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

StatsD and Clarify

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Docker and Clarify

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Apache and Clarify

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Amazon ECS and Clarify

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

ActiveMQ and Clarify

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Google Cloud PubSub and Clarify

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Azure Event Hubs and Clarify

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Consul and Clarify

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Google Cloud Stackdriver and Clarify

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

AWS Data Firehose and Clarify

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Google Cloud Storage and Clarify

Collects metrics from Google Cloud Storage buckets for performance monitoring.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

HAProxy and Clarify

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Jenkins and Clarify

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

LDAP and Clarify

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Nginx and Clarify

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Hashicorp Nomad and Clarify

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

OpenStack and Clarify

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Webhooks and Clarify

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Tail and Clarify

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Azure Monitor and Clarify

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

NSQ and Clarify

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

RabbitMQ and Clarify

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Salesforce and Clarify

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

SNMP Trap and Clarify

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Supervisor and Clarify

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Suricata and Clarify

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Syslog and Clarify

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Memcached and Clarify

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Mesos and Clarify

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Apache Zookeeper and Clarify

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Hashicorp Vault and Clarify

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

VMware vSphere and Clarify

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Ceph and Clarify

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

DNS and Clarify

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

ctrlX Data Layer and Clarify

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Nvidia SMI and Clarify

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Intel PowerStat and Clarify

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

iptables and Clarify

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

InfiniBand and Clarify

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Wireguard and Clarify

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Kibana and Clarify

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Cisco Model-Driven Telemetry and Clarify

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Fireboard and Clarify

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Icinga and Clarify

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

IPMI Sensor and Clarify

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

IPVS and Clarify

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

JTI OpenConfig Telemetry and Clarify

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Kernel and Clarify

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Apache Aurora and Clarify

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Azure Storage Queue and Clarify

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Arista LANZ and Clarify

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Phillips Hue Bridge and Clarify

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Netflow and Clarify

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

KNX and Clarify

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

ntpq and Clarify

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

MavLink and Clarify

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
This output plugin sends Telegraf metrics to Clarify, allowing for integrated data analysis. It supports both OAuth and basic authentication methods for configuration.

Kafka and Librato

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Kinesis and Librato

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

HTTP and Librato

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

SNMP and Librato

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Modbus and Librato

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

OPC UA and Librato

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

MQTT and Librato

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

gNMI and Librato

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Fluentd and Librato

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

OpenTelemetry and Librato

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

AMQP and Librato

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Amazon CloudWatch and Librato

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Zipkin and Librato

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

NATS and Librato

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Kubernetes and Librato

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

StatsD and Librato

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Docker and Librato

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Apache and Librato

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Amazon ECS and Librato

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

ActiveMQ and Librato

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Google Cloud PubSub and Librato

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Azure Event Hubs and Librato

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Consul and Librato

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Google Cloud Stackdriver and Librato

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

AWS Data Firehose and Librato

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Google Cloud Storage and Librato

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

HAProxy and Librato

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Jenkins and Librato

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

LDAP and Librato

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Nginx and Librato

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Hashicorp Nomad and Librato

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

OpenStack and Librato

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Webhooks and Librato

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Tail and Librato

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Azure Monitor and Librato

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

NSQ and Librato

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

RabbitMQ and Librato

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Salesforce and Librato

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

SNMP Trap and Librato

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Supervisor and Librato

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Suricata and Librato

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Syslog and Librato

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Memcached and Librato

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Mesos and Librato

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Apache Zookeeper and Librato

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Hashicorp Vault and Librato

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

VMware vSphere and Librato

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Ceph and Librato

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

DNS and Librato

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

ctrlX Data Layer and Librato

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Nvidia SMI and Librato

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Intel PowerStat and Librato

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

iptables and Librato

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

InfiniBand and Librato

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Wireguard and Librato

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Kibana and Librato

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Cisco Model-Driven Telemetry and Librato

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Fireboard and Librato

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Icinga and Librato

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

IPMI Sensor and Librato

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

IPVS and Librato

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

JTI OpenConfig Telemetry and Librato

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Kernel and Librato

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Apache Aurora and Librato

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Azure Storage Queue and Librato

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Arista LANZ and Librato

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Phillips Hue Bridge and Librato

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Netflow and Librato

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

KNX and Librato

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

ntpq and Librato

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

MavLink and Librato

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The Librato plugin allows Telegraf to send metrics directly to the Librato Metrics API using an API user and token. This ensures that metrics collected are efficiently processed and reported for monitoring and analysis.

Kafka and Nebius Cloud Monitoring

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Kinesis and Nebius Cloud Monitoring

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

HTTP and Nebius Cloud Monitoring

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

SNMP and Nebius Cloud Monitoring

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Modbus and Nebius Cloud Monitoring

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

OPC UA and Nebius Cloud Monitoring

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

MQTT and Nebius Cloud Monitoring

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

gNMI and Nebius Cloud Monitoring

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Fluentd and Nebius Cloud Monitoring

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

OpenTelemetry and Nebius Cloud Monitoring

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

AMQP and Nebius Cloud Monitoring

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Amazon CloudWatch and Nebius Cloud Monitoring

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Zipkin and Nebius Cloud Monitoring

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

NATS and Nebius Cloud Monitoring

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Kubernetes and Nebius Cloud Monitoring

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

StatsD and Nebius Cloud Monitoring

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Docker and Nebius Cloud Monitoring

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Apache and Nebius Cloud Monitoring

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Amazon ECS and Nebius Cloud Monitoring

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

ActiveMQ and Nebius Cloud Monitoring

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Google Cloud PubSub and Nebius Cloud Monitoring

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Azure Event Hubs and Nebius Cloud Monitoring

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Consul and Nebius Cloud Monitoring

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Google Cloud Stackdriver and Nebius Cloud Monitoring

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

AWS Data Firehose and Nebius Cloud Monitoring

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Google Cloud Storage and Nebius Cloud Monitoring

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

HAProxy and Nebius Cloud Monitoring

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Jenkins and Nebius Cloud Monitoring

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

LDAP and Nebius Cloud Monitoring

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Nginx and Nebius Cloud Monitoring

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Hashicorp Nomad and Nebius Cloud Monitoring

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

OpenStack and Nebius Cloud Monitoring

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Webhooks and Nebius Cloud Monitoring

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Tail and Nebius Cloud Monitoring

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Azure Monitor and Nebius Cloud Monitoring

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

NSQ and Nebius Cloud Monitoring

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

RabbitMQ and Nebius Cloud Monitoring

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Salesforce and Nebius Cloud Monitoring

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

SNMP Trap and Nebius Cloud Monitoring

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Supervisor and Nebius Cloud Monitoring

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Suricata and Nebius Cloud Monitoring

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Syslog and Nebius Cloud Monitoring

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Memcached and Nebius Cloud Monitoring

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Mesos and Nebius Cloud Monitoring

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Apache Zookeeper and Nebius Cloud Monitoring

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Hashicorp Vault and Nebius Cloud Monitoring

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

VMware vSphere and Nebius Cloud Monitoring

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Ceph and Nebius Cloud Monitoring

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

DNS and Nebius Cloud Monitoring

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

ctrlX Data Layer and Nebius Cloud Monitoring

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Nvidia SMI and Nebius Cloud Monitoring

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Intel PowerStat and Nebius Cloud Monitoring

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

iptables and Nebius Cloud Monitoring

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

InfiniBand and Nebius Cloud Monitoring

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Wireguard and Nebius Cloud Monitoring

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Kibana and Nebius Cloud Monitoring

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Cisco Model-Driven Telemetry and Nebius Cloud Monitoring

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Fireboard and Nebius Cloud Monitoring

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Icinga and Nebius Cloud Monitoring

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

IPMI Sensor and Nebius Cloud Monitoring

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

IPVS and Nebius Cloud Monitoring

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

JTI OpenConfig Telemetry and Nebius Cloud Monitoring

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Kernel and Nebius Cloud Monitoring

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Apache Aurora and Nebius Cloud Monitoring

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Azure Storage Queue and Nebius Cloud Monitoring

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Arista LANZ and Nebius Cloud Monitoring

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Phillips Hue Bridge and Nebius Cloud Monitoring

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Netflow and Nebius Cloud Monitoring

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

KNX and Nebius Cloud Monitoring

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

ntpq and Nebius Cloud Monitoring

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

MavLink and Nebius Cloud Monitoring

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The Nebius Cloud plugin enables the transmission of custom metrics to Nebius Cloud Monitoring. It primarily supports Compute metadata based authentication for seamless integration.

Kafka and Sensu

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Kinesis and Sensu

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

HTTP and Sensu

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

SNMP and Sensu

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Modbus and Sensu

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

OPC UA and Sensu

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

MQTT and Sensu

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

gNMI and Sensu

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Fluentd and Sensu

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

OpenTelemetry and Sensu

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

AMQP and Sensu

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Amazon CloudWatch and Sensu

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Zipkin and Sensu

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

NATS and Sensu

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Kubernetes and Sensu

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

StatsD and Sensu

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Docker and Sensu

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Apache and Sensu

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Amazon ECS and Sensu

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

ActiveMQ and Sensu

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Google Cloud PubSub and Sensu

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Azure Event Hubs and Sensu

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Consul and Sensu

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Google Cloud Stackdriver and Sensu

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

AWS Data Firehose and Sensu

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Google Cloud Storage and Sensu

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

HAProxy and Sensu

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Jenkins and Sensu

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

LDAP and Sensu

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Nginx and Sensu

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Hashicorp Nomad and Sensu

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

OpenStack and Sensu

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Webhooks and Sensu

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Tail and Sensu

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Azure Monitor and Sensu

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

NSQ and Sensu

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

RabbitMQ and Sensu

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Salesforce and Sensu

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

SNMP Trap and Sensu

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Supervisor and Sensu

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Suricata and Sensu

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Syslog and Sensu

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Memcached and Sensu

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Mesos and Sensu

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Apache Zookeeper and Sensu

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Hashicorp Vault and Sensu

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

VMware vSphere and Sensu

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Ceph and Sensu

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

DNS and Sensu

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

ctrlX Data Layer and Sensu

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Nvidia SMI and Sensu

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Intel PowerStat and Sensu

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

iptables and Sensu

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

InfiniBand and Sensu

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Wireguard and Sensu

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Kibana and Sensu

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Cisco Model-Driven Telemetry and Sensu

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Fireboard and Sensu

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Icinga and Sensu

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

IPMI Sensor and Sensu

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

IPVS and Sensu

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

JTI OpenConfig Telemetry and Sensu

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Kernel and Sensu

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Apache Aurora and Sensu

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Azure Storage Queue and Sensu

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Arista LANZ and Sensu

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Phillips Hue Bridge and Sensu

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Netflow and Sensu

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

KNX and Sensu

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

ntpq and Sensu

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

MavLink and Sensu

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Sensu Plugin facilitates the sending of metrics events to the Sensu Go monitoring system via its HTTP API. It offers configuration options for API endpoints and authentication.

Kafka and GroundWork

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Kinesis and GroundWork

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

HTTP and GroundWork

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

SNMP and GroundWork

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Modbus and GroundWork

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

OPC UA and GroundWork

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

MQTT and GroundWork

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

gNMI and GroundWork

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Fluentd and GroundWork

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

OpenTelemetry and GroundWork

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

AMQP and GroundWork

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Amazon CloudWatch and GroundWork

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Zipkin and GroundWork

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

NATS and GroundWork

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Kubernetes and GroundWork

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

StatsD and GroundWork

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Docker and GroundWork

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Apache and GroundWork

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Amazon ECS and GroundWork

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

ActiveMQ and GroundWork

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Google Cloud PubSub and GroundWork

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Azure Event Hubs and GroundWork

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Consul and GroundWork

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Google Cloud Stackdriver and GroundWork

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

AWS Data Firehose and GroundWork

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Google Cloud Storage and GroundWork

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

HAProxy and GroundWork

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Jenkins and GroundWork

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

LDAP and GroundWork

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Nginx and GroundWork

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Hashicorp Nomad and GroundWork

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

OpenStack and GroundWork

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Webhooks and GroundWork

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Tail and GroundWork

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Azure Monitor and GroundWork

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

NSQ and GroundWork

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

RabbitMQ and GroundWork

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Salesforce and GroundWork

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

SNMP Trap and GroundWork

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Supervisor and GroundWork

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Suricata and GroundWork

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Syslog and GroundWork

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Memcached and GroundWork

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Mesos and GroundWork

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Apache Zookeeper and GroundWork

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Hashicorp Vault and GroundWork

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

VMware vSphere and GroundWork

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Ceph and GroundWork

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

DNS and GroundWork

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

ctrlX Data Layer and GroundWork

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Nvidia SMI and GroundWork

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Intel PowerStat and GroundWork

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

iptables and GroundWork

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

InfiniBand and GroundWork

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Wireguard and GroundWork

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Kibana and GroundWork

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Cisco Model-Driven Telemetry and GroundWork

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Fireboard and GroundWork

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Icinga and GroundWork

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

IPMI Sensor and GroundWork

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

IPVS and GroundWork

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

JTI OpenConfig Telemetry and GroundWork

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Kernel and GroundWork

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Apache Aurora and GroundWork

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Azure Storage Queue and GroundWork

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Arista LANZ and GroundWork

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Phillips Hue Bridge and GroundWork

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Netflow and GroundWork

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

KNX and GroundWork

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

ntpq and GroundWork

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

MavLink and GroundWork

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The GroundWork plugin allows Telegraf to send metrics to a GroundWork Monitor instance, specifically supporting GW8+. It facilitates the organization and monitoring of various metrics with comprehensive configuration options.

Kafka and Apache Inlong

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Kinesis and Apache Inlong

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

HTTP and Apache Inlong

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

SNMP and Apache Inlong

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Modbus and Apache Inlong

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

OPC UA and Apache Inlong

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

MQTT and Apache Inlong

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

gNMI and Apache Inlong

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Fluentd and Apache Inlong

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

OpenTelemetry and Apache Inlong

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

AMQP and Apache Inlong

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Amazon CloudWatch and Apache Inlong

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Zipkin and Apache Inlong

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

NATS and Apache Inlong

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Kubernetes and Apache Inlong

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

StatsD and Apache Inlong

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Docker and Apache Inlong

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Apache and Apache Inlong

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Amazon ECS and Apache Inlong

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

ActiveMQ and Apache Inlong

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Google Cloud PubSub and Apache Inlong

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Azure Event Hubs and Apache Inlong

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Consul and Apache Inlong

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Google Cloud Stackdriver and Apache Inlong

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

AWS Data Firehose and Apache Inlong

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Google Cloud Storage and Apache Inlong

Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

HAProxy and Apache Inlong

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Jenkins and Apache Inlong

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

LDAP and Apache Inlong

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Nginx and Apache Inlong

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Hashicorp Nomad and Apache Inlong

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

OpenStack and Apache Inlong

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Webhooks and Apache Inlong

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Tail and Apache Inlong

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Azure Monitor and Apache Inlong

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

NSQ and Apache Inlong

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

RabbitMQ and Apache Inlong

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Salesforce and Apache Inlong

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

SNMP Trap and Apache Inlong

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Supervisor and Apache Inlong

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Suricata and Apache Inlong

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Syslog and Apache Inlong

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Memcached and Apache Inlong

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Mesos and Apache Inlong

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Apache Zookeeper and Apache Inlong

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Hashicorp Vault and Apache Inlong

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

VMware vSphere and Apache Inlong

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Ceph and Apache Inlong

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

DNS and Apache Inlong

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

ctrlX Data Layer and Apache Inlong

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Nvidia SMI and Apache Inlong

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Intel PowerStat and Apache Inlong

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

iptables and Apache Inlong

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

InfiniBand and Apache Inlong

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Wireguard and Apache Inlong

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Kibana and Apache Inlong

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Cisco Model-Driven Telemetry and Apache Inlong

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Fireboard and Apache Inlong

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Icinga and Apache Inlong

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

IPMI Sensor and Apache Inlong

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

IPVS and Apache Inlong

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

JTI OpenConfig Telemetry and Apache Inlong

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Kernel and Apache Inlong

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Apache Aurora and Apache Inlong

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Azure Storage Queue and Apache Inlong

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Arista LANZ and Apache Inlong

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Phillips Hue Bridge and Apache Inlong

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Netflow and Apache Inlong

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

KNX and Apache Inlong

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

ntpq and Apache Inlong

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

MavLink and Apache Inlong

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
This plugin publishes metrics to an Apache InLong instance. It allows users to route data collected by Telegraf directly to their InLong data-proxy infrastructure.

Kafka and Microsoft Fabric

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Kinesis and Microsoft Fabric

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

HTTP and Microsoft Fabric

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

SNMP and Microsoft Fabric

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Modbus and Microsoft Fabric

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

OPC UA and Microsoft Fabric

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

MQTT and Microsoft Fabric

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

gNMI and Microsoft Fabric

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Fluentd and Microsoft Fabric

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

OpenTelemetry and Microsoft Fabric

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

AMQP and Microsoft Fabric

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Amazon CloudWatch and Microsoft Fabric

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Zipkin and Microsoft Fabric

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

NATS and Microsoft Fabric

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Kubernetes and Microsoft Fabric

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

StatsD and Microsoft Fabric

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Docker and Microsoft Fabric

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Apache and Microsoft Fabric

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Amazon ECS and Microsoft Fabric

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

ActiveMQ and Microsoft Fabric

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Google Cloud PubSub and Microsoft Fabric

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Azure Event Hubs and Microsoft Fabric

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Consul and Microsoft Fabric

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Google Cloud Stackdriver and Microsoft Fabric

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

AWS Data Firehose and Microsoft Fabric

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Google Cloud Storage and Microsoft Fabric

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

HAProxy and Microsoft Fabric

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Jenkins and Microsoft Fabric

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

LDAP and Microsoft Fabric

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Nginx and Microsoft Fabric

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Hashicorp Nomad and Microsoft Fabric

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

OpenStack and Microsoft Fabric

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Webhooks and Microsoft Fabric

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Tail and Microsoft Fabric

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Azure Monitor and Microsoft Fabric

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

NSQ and Microsoft Fabric

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

RabbitMQ and Microsoft Fabric

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Salesforce and Microsoft Fabric

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

SNMP Trap and Microsoft Fabric

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Supervisor and Microsoft Fabric

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Suricata and Microsoft Fabric

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Syslog and Microsoft Fabric

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Memcached and Microsoft Fabric

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Mesos and Microsoft Fabric

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Apache Zookeeper and Microsoft Fabric

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Hashicorp Vault and Microsoft Fabric

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

VMware vSphere and Microsoft Fabric

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Ceph and Microsoft Fabric

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

DNS and Microsoft Fabric

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

ctrlX Data Layer and Microsoft Fabric

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Nvidia SMI and Microsoft Fabric

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Intel PowerStat and Microsoft Fabric

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

iptables and Microsoft Fabric

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

InfiniBand and Microsoft Fabric

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Wireguard and Microsoft Fabric

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Kibana and Microsoft Fabric

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Cisco Model-Driven Telemetry and Microsoft Fabric

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Fireboard and Microsoft Fabric

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Icinga and Microsoft Fabric

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

IPMI Sensor and Microsoft Fabric

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

IPVS and Microsoft Fabric

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

JTI OpenConfig Telemetry and Microsoft Fabric

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Kernel and Microsoft Fabric

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Apache Aurora and Microsoft Fabric

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Azure Storage Queue and Microsoft Fabric

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Arista LANZ and Microsoft Fabric

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Phillips Hue Bridge and Microsoft Fabric

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Netflow and Microsoft Fabric

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

KNX and Microsoft Fabric

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

ntpq and Microsoft Fabric

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

MavLink and Microsoft Fabric

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The Microsoft Fabric plugin facilitates the ingestion of metrics into Microsoft Fabric's real-time analytics service. It supports flexible configuration options, including connection strings and metric grouping strategies, to optimize data flow into Azure.

Kafka and Zabbix

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Kinesis and Zabbix

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

HTTP and Zabbix

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

SNMP and Zabbix

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Modbus and Zabbix

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

OPC UA and Zabbix

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

MQTT and Zabbix

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

gNMI and Zabbix

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Fluentd and Zabbix

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

OpenTelemetry and Zabbix

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

AMQP and Zabbix

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Amazon CloudWatch and Zabbix

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Zipkin and Zabbix

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

NATS and Zabbix

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Kubernetes and Zabbix

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

StatsD and Zabbix

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Docker and Zabbix

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Apache and Zabbix

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Amazon ECS and Zabbix

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

ActiveMQ and Zabbix

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Google Cloud PubSub and Zabbix

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Azure Event Hubs and Zabbix

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Consul and Zabbix

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Google Cloud Stackdriver and Zabbix

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

AWS Data Firehose and Zabbix

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Google Cloud Storage and Zabbix

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

HAProxy and Zabbix

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Jenkins and Zabbix

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

LDAP and Zabbix

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Nginx and Zabbix

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Hashicorp Nomad and Zabbix

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

OpenStack and Zabbix

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Webhooks and Zabbix

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Tail and Zabbix

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Azure Monitor and Zabbix

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

NSQ and Zabbix

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

RabbitMQ and Zabbix

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Salesforce and Zabbix

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

SNMP Trap and Zabbix

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Supervisor and Zabbix

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Suricata and Zabbix

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Syslog and Zabbix

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Memcached and Zabbix

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Mesos and Zabbix

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Apache Zookeeper and Zabbix

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Hashicorp Vault and Zabbix

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

VMware vSphere and Zabbix

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Ceph and Zabbix

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

DNS and Zabbix

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

ctrlX Data Layer and Zabbix

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Nvidia SMI and Zabbix

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Intel PowerStat and Zabbix

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

iptables and Zabbix

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

InfiniBand and Zabbix

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Wireguard and Zabbix

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Kibana and Zabbix

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Cisco Model-Driven Telemetry and Zabbix

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Fireboard and Zabbix

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Icinga and Zabbix

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

IPMI Sensor and Zabbix

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

IPVS and Zabbix

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

JTI OpenConfig Telemetry and Zabbix

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Kernel and Zabbix

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Apache Aurora and Zabbix

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Azure Storage Queue and Zabbix

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Arista LANZ and Zabbix

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Phillips Hue Bridge and Zabbix

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Netflow and Zabbix

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

KNX and Zabbix

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

ntpq and Zabbix

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

MavLink and Zabbix

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The Zabbix plugin for Telegraf allows users to send metrics to Zabbix using the trap protocol. It features configuration options for key prefixing, data types, and more.

Kafka and DuckDB

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Kinesis and DuckDB

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

HTTP and DuckDB

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

SNMP and DuckDB

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Modbus and DuckDB

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

OPC UA and DuckDB

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

MQTT and DuckDB

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

gNMI and DuckDB

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Fluentd and DuckDB

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

OpenTelemetry and DuckDB

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

AMQP and DuckDB

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Amazon CloudWatch and DuckDB

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Zipkin and DuckDB

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

NATS and DuckDB

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Kubernetes and DuckDB

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

StatsD and DuckDB

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Docker and DuckDB

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Apache and DuckDB

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Amazon ECS and DuckDB

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

ActiveMQ and DuckDB

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Google Cloud PubSub and DuckDB

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Azure Event Hubs and DuckDB

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Consul and DuckDB

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Google Cloud Stackdriver and DuckDB

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

AWS Data Firehose and DuckDB

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Google Cloud Storage and DuckDB

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

HAProxy and DuckDB

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Jenkins and DuckDB

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

LDAP and DuckDB

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Nginx and DuckDB

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Hashicorp Nomad and DuckDB

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

OpenStack and DuckDB

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Webhooks and DuckDB

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Tail and DuckDB

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Azure Monitor and DuckDB

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

NSQ and DuckDB

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

RabbitMQ and DuckDB

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Salesforce and DuckDB

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

SNMP Trap and DuckDB

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Supervisor and DuckDB

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Suricata and DuckDB

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Syslog and DuckDB

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Memcached and DuckDB

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Mesos and DuckDB

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Apache Zookeeper and DuckDB

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Hashicorp Vault and DuckDB

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

VMware vSphere and DuckDB

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Ceph and DuckDB

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

DNS and DuckDB

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

ctrlX Data Layer and DuckDB

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Nvidia SMI and DuckDB

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Intel PowerStat and DuckDB

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

iptables and DuckDB

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

InfiniBand and DuckDB

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Wireguard and DuckDB

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Kibana and DuckDB

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Cisco Model-Driven Telemetry and DuckDB

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Fireboard and DuckDB

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Icinga and DuckDB

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

IPMI Sensor and DuckDB

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

IPVS and DuckDB

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

JTI OpenConfig Telemetry and DuckDB

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Kernel and DuckDB

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Apache Aurora and DuckDB

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Azure Storage Queue and DuckDB

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Arista LANZ and DuckDB

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Phillips Hue Bridge and DuckDB

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Netflow and DuckDB

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

KNX and DuckDB

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

ntpq and DuckDB

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

MavLink and DuckDB

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Save metrics to DuckDB using the Telegraf SQL plugin. Ideal for local, high-performance analytics and offline time-series workloads.

Kafka and AWS Redshift

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Kinesis and AWS Redshift

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

HTTP and AWS Redshift

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

SNMP and AWS Redshift

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Modbus and AWS Redshift

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

OPC UA and AWS Redshift

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

MQTT and AWS Redshift

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

gNMI and AWS Redshift

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Fluentd and AWS Redshift

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

OpenTelemetry and AWS Redshift

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

AMQP and AWS Redshift

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Amazon CloudWatch and AWS Redshift

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Zipkin and AWS Redshift

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

NATS and AWS Redshift

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Kubernetes and AWS Redshift

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

StatsD and AWS Redshift

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Docker and AWS Redshift

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Apache and AWS Redshift

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Amazon ECS and AWS Redshift

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

ActiveMQ and AWS Redshift

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Google Cloud PubSub and AWS Redshift

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Azure Event Hubs and AWS Redshift

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Consul and AWS Redshift

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Google Cloud Stackdriver and AWS Redshift

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

AWS Data Firehose and AWS Redshift

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Google Cloud Storage and AWS Redshift

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

HAProxy and AWS Redshift

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Jenkins and AWS Redshift

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

LDAP and AWS Redshift

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Nginx and AWS Redshift

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Hashicorp Nomad and AWS Redshift

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

OpenStack and AWS Redshift

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Webhooks and AWS Redshift

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Tail and AWS Redshift

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Azure Monitor and AWS Redshift

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

NSQ and AWS Redshift

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

RabbitMQ and AWS Redshift

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Salesforce and AWS Redshift

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

SNMP Trap and AWS Redshift

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Supervisor and AWS Redshift

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Suricata and AWS Redshift

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Syslog and AWS Redshift

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Memcached and AWS Redshift

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Mesos and AWS Redshift

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Apache Zookeeper and AWS Redshift

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Hashicorp Vault and AWS Redshift

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

VMware vSphere and AWS Redshift

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Ceph and AWS Redshift

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

DNS and AWS Redshift

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

ctrlX Data Layer and AWS Redshift

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Nvidia SMI and AWS Redshift

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Intel PowerStat and AWS Redshift

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

iptables and AWS Redshift

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

InfiniBand and AWS Redshift

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Wireguard and AWS Redshift

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Kibana and AWS Redshift

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Cisco Model-Driven Telemetry and AWS Redshift

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Fireboard and AWS Redshift

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Icinga and AWS Redshift

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

IPMI Sensor and AWS Redshift

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

IPVS and AWS Redshift

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

JTI OpenConfig Telemetry and AWS Redshift

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Kernel and AWS Redshift

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Apache Aurora and AWS Redshift

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Azure Storage Queue and AWS Redshift

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Arista LANZ and AWS Redshift

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Phillips Hue Bridge and AWS Redshift

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Netflow and AWS Redshift

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

KNX and AWS Redshift

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

ntpq and AWS Redshift

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

MavLink and AWS Redshift

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Writes data to AWS Redshift via the PostgreSQL plugin. Ideal for long-term analytics but requires attention to Redshift's PostgreSQL compatibility limitations.

Kafka and Google Cloud Monitoring

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Kinesis and Google Cloud Monitoring

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

HTTP and Google Cloud Monitoring

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

SNMP and Google Cloud Monitoring

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Modbus and Google Cloud Monitoring

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

OPC UA and Google Cloud Monitoring

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

MQTT and Google Cloud Monitoring

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

gNMI and Google Cloud Monitoring

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Fluentd and Google Cloud Monitoring

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

OpenTelemetry and Google Cloud Monitoring

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

AMQP and Google Cloud Monitoring

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Amazon CloudWatch and Google Cloud Monitoring

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Zipkin and Google Cloud Monitoring

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

NATS and Google Cloud Monitoring

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Kubernetes and Google Cloud Monitoring

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

StatsD and Google Cloud Monitoring

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Docker and Google Cloud Monitoring

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Apache and Google Cloud Monitoring

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Amazon ECS and Google Cloud Monitoring

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

ActiveMQ and Google Cloud Monitoring

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Google Cloud PubSub and Google Cloud Monitoring

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Azure Event Hubs and Google Cloud Monitoring

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Consul and Google Cloud Monitoring

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Google Cloud Stackdriver and Google Cloud Monitoring

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

AWS Data Firehose and Google Cloud Monitoring

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Google Cloud Storage and Google Cloud Monitoring

Collects metrics from Google Cloud Storage buckets for performance monitoring.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

HAProxy and Google Cloud Monitoring

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Jenkins and Google Cloud Monitoring

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

LDAP and Google Cloud Monitoring

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Nginx and Google Cloud Monitoring

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Hashicorp Nomad and Google Cloud Monitoring

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

OpenStack and Google Cloud Monitoring

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Webhooks and Google Cloud Monitoring

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Tail and Google Cloud Monitoring

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Azure Monitor and Google Cloud Monitoring

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

NSQ and Google Cloud Monitoring

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

RabbitMQ and Google Cloud Monitoring

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Salesforce and Google Cloud Monitoring

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

SNMP Trap and Google Cloud Monitoring

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Supervisor and Google Cloud Monitoring

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Suricata and Google Cloud Monitoring

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Syslog and Google Cloud Monitoring

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Memcached and Google Cloud Monitoring

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Mesos and Google Cloud Monitoring

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Apache Zookeeper and Google Cloud Monitoring

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Hashicorp Vault and Google Cloud Monitoring

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

VMware vSphere and Google Cloud Monitoring

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Ceph and Google Cloud Monitoring

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

DNS and Google Cloud Monitoring

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

ctrlX Data Layer and Google Cloud Monitoring

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Nvidia SMI and Google Cloud Monitoring

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Intel PowerStat and Google Cloud Monitoring

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

iptables and Google Cloud Monitoring

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

InfiniBand and Google Cloud Monitoring

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Wireguard and Google Cloud Monitoring

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Kibana and Google Cloud Monitoring

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Cisco Model-Driven Telemetry and Google Cloud Monitoring

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Fireboard and Google Cloud Monitoring

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Icinga and Google Cloud Monitoring

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

IPMI Sensor and Google Cloud Monitoring

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

IPVS and Google Cloud Monitoring

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

JTI OpenConfig Telemetry and Google Cloud Monitoring

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Kernel and Google Cloud Monitoring

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Apache Aurora and Google Cloud Monitoring

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Azure Storage Queue and Google Cloud Monitoring

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Arista LANZ and Google Cloud Monitoring

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Phillips Hue Bridge and Google Cloud Monitoring

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Netflow and Google Cloud Monitoring

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

KNX and Google Cloud Monitoring

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

ntpq and Google Cloud Monitoring

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

MavLink and Google Cloud Monitoring

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
The Telegraf Stackdriver plugin can be used to send metrics to Google Cloud Monitoring, enabling efficient performance tracking and monitoring. It supports various configurations and is designed to integrate well with Google Cloud's ecosystem.

Kafka and Apache Druid

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Kinesis and Apache Druid

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

HTTP and Apache Druid

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

SNMP and Apache Druid

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Modbus and Apache Druid

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

OPC UA and Apache Druid

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

MQTT and Apache Druid

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

gNMI and Apache Druid

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Fluentd and Apache Druid

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

OpenTelemetry and Apache Druid

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

AMQP and Apache Druid

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Amazon CloudWatch and Apache Druid

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Zipkin and Apache Druid

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

NATS and Apache Druid

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Kubernetes and Apache Druid

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

StatsD and Apache Druid

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Docker and Apache Druid

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Apache and Apache Druid

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Amazon ECS and Apache Druid

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

ActiveMQ and Apache Druid

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Google Cloud PubSub and Apache Druid

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Azure Event Hubs and Apache Druid

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Consul and Apache Druid

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Google Cloud Stackdriver and Apache Druid

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

AWS Data Firehose and Apache Druid

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Google Cloud Storage and Apache Druid

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

HAProxy and Apache Druid

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Jenkins and Apache Druid

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

LDAP and Apache Druid

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Nginx and Apache Druid

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Hashicorp Nomad and Apache Druid

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

OpenStack and Apache Druid

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Webhooks and Apache Druid

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Tail and Apache Druid

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Azure Monitor and Apache Druid

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

NSQ and Apache Druid

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

RabbitMQ and Apache Druid

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Salesforce and Apache Druid

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

SNMP Trap and Apache Druid

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Supervisor and Apache Druid

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Suricata and Apache Druid

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Syslog and Apache Druid

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Memcached and Apache Druid

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Mesos and Apache Druid

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Apache Zookeeper and Apache Druid

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Hashicorp Vault and Apache Druid

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

VMware vSphere and Apache Druid

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Ceph and Apache Druid

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

DNS and Apache Druid

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

ctrlX Data Layer and Apache Druid

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Nvidia SMI and Apache Druid

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Intel PowerStat and Apache Druid

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

iptables and Apache Druid

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

InfiniBand and Apache Druid

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Wireguard and Apache Druid

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Kibana and Apache Druid

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Cisco Model-Driven Telemetry and Apache Druid

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Fireboard and Apache Druid

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Icinga and Apache Druid

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

IPMI Sensor and Apache Druid

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

IPVS and Apache Druid

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

JTI OpenConfig Telemetry and Apache Druid

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Kernel and Apache Druid

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Apache Aurora and Apache Druid

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Azure Storage Queue and Apache Druid

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Arista LANZ and Apache Druid

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Phillips Hue Bridge and Apache Druid

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Netflow and Apache Druid

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

KNX and Apache Druid

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

ntpq and Apache Druid

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

MavLink and Apache Druid

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Streams JSON-formatted Telegraf metrics to Apache Druid using HTTP. Ideal for high-speed ingestion into real-time analytics engines.

Kafka and Apache Hudi

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Kinesis and Apache Hudi

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

HTTP and Apache Hudi

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

SNMP and Apache Hudi

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Modbus and Apache Hudi

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

OPC UA and Apache Hudi

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

MQTT and Apache Hudi

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

gNMI and Apache Hudi

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Fluentd and Apache Hudi

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

OpenTelemetry and Apache Hudi

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

AMQP and Apache Hudi

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Amazon CloudWatch and Apache Hudi

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Zipkin and Apache Hudi

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

NATS and Apache Hudi

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Kubernetes and Apache Hudi

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

StatsD and Apache Hudi

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Docker and Apache Hudi

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Apache and Apache Hudi

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Amazon ECS and Apache Hudi

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

ActiveMQ and Apache Hudi

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Google Cloud PubSub and Apache Hudi

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Azure Event Hubs and Apache Hudi

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Consul and Apache Hudi

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Google Cloud Stackdriver and Apache Hudi

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

AWS Data Firehose and Apache Hudi

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Google Cloud Storage and Apache Hudi

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

HAProxy and Apache Hudi

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Jenkins and Apache Hudi

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

LDAP and Apache Hudi

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Nginx and Apache Hudi

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Hashicorp Nomad and Apache Hudi

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

OpenStack and Apache Hudi

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Webhooks and Apache Hudi

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Tail and Apache Hudi

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Azure Monitor and Apache Hudi

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

NSQ and Apache Hudi

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

RabbitMQ and Apache Hudi

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Salesforce and Apache Hudi

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

SNMP Trap and Apache Hudi

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Supervisor and Apache Hudi

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Suricata and Apache Hudi

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Syslog and Apache Hudi

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Memcached and Apache Hudi

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Mesos and Apache Hudi

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Apache Zookeeper and Apache Hudi

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Hashicorp Vault and Apache Hudi

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

VMware vSphere and Apache Hudi

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Ceph and Apache Hudi

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

DNS and Apache Hudi

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

ctrlX Data Layer and Apache Hudi

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Nvidia SMI and Apache Hudi

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Intel PowerStat and Apache Hudi

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

iptables and Apache Hudi

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

InfiniBand and Apache Hudi

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Wireguard and Apache Hudi

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Kibana and Apache Hudi

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Cisco Model-Driven Telemetry and Apache Hudi

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Fireboard and Apache Hudi

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Icinga and Apache Hudi

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

IPMI Sensor and Apache Hudi

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

IPVS and Apache Hudi

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

JTI OpenConfig Telemetry and Apache Hudi

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Kernel and Apache Hudi

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Apache Aurora and Apache Hudi

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Azure Storage Queue and Apache Hudi

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Arista LANZ and Apache Hudi

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Phillips Hue Bridge and Apache Hudi

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Netflow and Apache Hudi

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

KNX and Apache Hudi

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

ntpq and Apache Hudi

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

MavLink and Apache Hudi

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Serializes Telegraf metrics to Parquet files for ingestion into Apache Hudi, enabling lakehouse analytics and transactional storage.

Kafka and OSI PI

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Kinesis and OSI PI

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

HTTP and OSI PI

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

SNMP and OSI PI

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Modbus and OSI PI

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

OPC UA and OSI PI

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

MQTT and OSI PI

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

gNMI and OSI PI

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Fluentd and OSI PI

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

OpenTelemetry and OSI PI

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

AMQP and OSI PI

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Amazon CloudWatch and OSI PI

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Zipkin and OSI PI

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

NATS and OSI PI

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Kubernetes and OSI PI

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

StatsD and OSI PI

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Docker and OSI PI

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Apache and OSI PI

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Amazon ECS and OSI PI

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

ActiveMQ and OSI PI

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Google Cloud PubSub and OSI PI

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Azure Event Hubs and OSI PI

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Consul and OSI PI

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Google Cloud Stackdriver and OSI PI

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

AWS Data Firehose and OSI PI

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Google Cloud Storage and OSI PI

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

HAProxy and OSI PI

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Jenkins and OSI PI

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

LDAP and OSI PI

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Nginx and OSI PI

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Hashicorp Nomad and OSI PI

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

OpenStack and OSI PI

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Webhooks and OSI PI

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Tail and OSI PI

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Azure Monitor and OSI PI

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

NSQ and OSI PI

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

RabbitMQ and OSI PI

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Salesforce and OSI PI

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

SNMP Trap and OSI PI

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Supervisor and OSI PI

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Suricata and OSI PI

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Syslog and OSI PI

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Memcached and OSI PI

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Mesos and OSI PI

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Apache Zookeeper and OSI PI

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Hashicorp Vault and OSI PI

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

VMware vSphere and OSI PI

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Ceph and OSI PI

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

DNS and OSI PI

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

ctrlX Data Layer and OSI PI

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Nvidia SMI and OSI PI

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Intel PowerStat and OSI PI

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

iptables and OSI PI

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

InfiniBand and OSI PI

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Wireguard and OSI PI

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Kibana and OSI PI

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Cisco Model-Driven Telemetry and OSI PI

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Fireboard and OSI PI

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Icinga and OSI PI

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

IPMI Sensor and OSI PI

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

IPVS and OSI PI

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

JTI OpenConfig Telemetry and OSI PI

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Kernel and OSI PI

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Apache Aurora and OSI PI

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Azure Storage Queue and OSI PI

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Arista LANZ and OSI PI

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Phillips Hue Bridge and OSI PI

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Netflow and OSI PI

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

KNX and OSI PI

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

ntpq and OSI PI

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

MavLink and OSI PI

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Publish Telegraf metrics to OSI PI via the PI Web API’s `/streams/{WebId}/value` endpoint, using JSON payloads and Basic auth.

Kafka and SigNoz

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Kinesis and SigNoz

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

HTTP and SigNoz

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

SNMP and SigNoz

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Modbus and SigNoz

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

OPC UA and SigNoz

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

MQTT and SigNoz

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

gNMI and SigNoz

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Fluentd and SigNoz

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

OpenTelemetry and SigNoz

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

AMQP and SigNoz

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Amazon CloudWatch and SigNoz

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Zipkin and SigNoz

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

NATS and SigNoz

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Kubernetes and SigNoz

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

StatsD and SigNoz

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Docker and SigNoz

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Apache and SigNoz

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Amazon ECS and SigNoz

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

ActiveMQ and SigNoz

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Google Cloud PubSub and SigNoz

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Azure Event Hubs and SigNoz

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Consul and SigNoz

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Google Cloud Stackdriver and SigNoz

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

AWS Data Firehose and SigNoz

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Google Cloud Storage and SigNoz

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

HAProxy and SigNoz

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Jenkins and SigNoz

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

LDAP and SigNoz

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Nginx and SigNoz

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Hashicorp Nomad and SigNoz

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

OpenStack and SigNoz

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Webhooks and SigNoz

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Tail and SigNoz

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Azure Monitor and SigNoz

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

NSQ and SigNoz

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

RabbitMQ and SigNoz

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Salesforce and SigNoz

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

SNMP Trap and SigNoz

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Supervisor and SigNoz

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Suricata and SigNoz

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Syslog and SigNoz

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Memcached and SigNoz

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Mesos and SigNoz

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Apache Zookeeper and SigNoz

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Hashicorp Vault and SigNoz

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

VMware vSphere and SigNoz

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Ceph and SigNoz

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

DNS and SigNoz

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

ctrlX Data Layer and SigNoz

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Nvidia SMI and SigNoz

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Intel PowerStat and SigNoz

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

iptables and SigNoz

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

InfiniBand and SigNoz

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Wireguard and SigNoz

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Kibana and SigNoz

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Cisco Model-Driven Telemetry and SigNoz

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Fireboard and SigNoz

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Icinga and SigNoz

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

IPMI Sensor and SigNoz

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

IPVS and SigNoz

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

JTI OpenConfig Telemetry and SigNoz

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Kernel and SigNoz

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Apache Aurora and SigNoz

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Azure Storage Queue and SigNoz

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Arista LANZ and SigNoz

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Phillips Hue Bridge and SigNoz

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Netflow and SigNoz

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

KNX and SigNoz

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

ntpq and SigNoz

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

MavLink and SigNoz

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Uses Telegraf’s native Prometheus Remote Write output to feed metrics into SigNoz, enabling real-time dashboards and long-term data retention.

Kafka and Databricks

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Kinesis and Databricks

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

HTTP and Databricks

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

SNMP and Databricks

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Modbus and Databricks

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

OPC UA and Databricks

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

MQTT and Databricks

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

gNMI and Databricks

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Fluentd and Databricks

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

OpenTelemetry and Databricks

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

AMQP and Databricks

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Amazon CloudWatch and Databricks

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Zipkin and Databricks

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

NATS and Databricks

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Kubernetes and Databricks

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

StatsD and Databricks

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Docker and Databricks

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Apache and Databricks

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Amazon ECS and Databricks

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

ActiveMQ and Databricks

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Google Cloud PubSub and Databricks

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Azure Event Hubs and Databricks

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Consul and Databricks

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Google Cloud Stackdriver and Databricks

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

AWS Data Firehose and Databricks

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Google Cloud Storage and Databricks

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

HAProxy and Databricks

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Jenkins and Databricks

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

LDAP and Databricks

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Nginx and Databricks

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Hashicorp Nomad and Databricks

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

OpenStack and Databricks

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Webhooks and Databricks

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Tail and Databricks

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Azure Monitor and Databricks

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

NSQ and Databricks

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

RabbitMQ and Databricks

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Salesforce and Databricks

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

SNMP Trap and Databricks

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Supervisor and Databricks

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Suricata and Databricks

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Syslog and Databricks

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Memcached and Databricks

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Mesos and Databricks

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Apache Zookeeper and Databricks

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Hashicorp Vault and Databricks

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

VMware vSphere and Databricks

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Ceph and Databricks

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

DNS and Databricks

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

ctrlX Data Layer and Databricks

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Nvidia SMI and Databricks

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Intel PowerStat and Databricks

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

iptables and Databricks

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

InfiniBand and Databricks

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Wireguard and Databricks

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Kibana and Databricks

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Cisco Model-Driven Telemetry and Databricks

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Fireboard and Databricks

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Icinga and Databricks

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

IPMI Sensor and Databricks

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

IPVS and Databricks

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

JTI OpenConfig Telemetry and Databricks

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Kernel and Databricks

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Apache Aurora and Databricks

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Azure Storage Queue and Databricks

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Arista LANZ and Databricks

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Phillips Hue Bridge and Databricks

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Netflow and Databricks

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

KNX and Databricks

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

ntpq and Databricks

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

MavLink and Databricks

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Streams Telegraf metrics to Databricks via the SQL REST API, landing metrics in Delta tables or governed volumes without extra connectors.

Kafka and OpenObserve

This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Kinesis and OpenObserve

The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

HTTP and OpenObserve

The HTTP plugin collects metrics from one or more HTTP(S) endpoints. It supports various authentication methods and configuration options for data formats.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

SNMP and OpenObserve

The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Modbus and OpenObserve

The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

OPC UA and OpenObserve

This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

MQTT and OpenObserve

The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

gNMI and OpenObserve

The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Fluentd and OpenObserve

Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

OpenTelemetry and OpenObserve

The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

AMQP and OpenObserve

This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Amazon CloudWatch and OpenObserve

The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Zipkin and OpenObserve

The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

NATS and OpenObserve

This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Kubernetes and OpenObserve

The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

StatsD and OpenObserve

The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Docker and OpenObserve

Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Apache and OpenObserve

This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Amazon ECS and OpenObserve

This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

ActiveMQ and OpenObserve

This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Google Cloud PubSub and OpenObserve

A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Azure Event Hubs and OpenObserve

A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Consul and OpenObserve

The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Google Cloud Stackdriver and OpenObserve

The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

AWS Data Firehose and OpenObserve

AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Google Cloud Storage and OpenObserve

Collects metrics from Google Cloud Storage buckets for performance monitoring.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

HAProxy and OpenObserve

The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Jenkins and OpenObserve

This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

LDAP and OpenObserve

The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Nginx and OpenObserve

The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Hashicorp Nomad and OpenObserve

The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

OpenStack and OpenObserve

The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Webhooks and OpenObserve

This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Tail and OpenObserve

The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Azure Monitor and OpenObserve

The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

NSQ and OpenObserve

This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

RabbitMQ and OpenObserve

The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Salesforce and OpenObserve

Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

SNMP Trap and OpenObserve

The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Supervisor and OpenObserve

The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Suricata and OpenObserve

The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Syslog and OpenObserve

Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Memcached and OpenObserve

The Memcached plugin collects real-time metrics from Memcached servers, providing insights into their performance and resource utilization. It is essential for monitoring caching strategies and optimizing application responsiveness.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Mesos and OpenObserve

Telegraf's Mesos input plugin collects metrics from Apache Mesos, a leading cluster and resource management system. It provides insights into resource utilization and tasks across the Mesos architecture, aiding in monitoring and performance analysis.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Apache Zookeeper and OpenObserve

This plugin gathers metrics from Apache Zookeeper servers using the 'mntr' command output. It helps monitor Zookeeper's performance and operational status efficiently.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Hashicorp Vault and OpenObserve

This plugin collects metrics from Hashicorp Vault agents, helping to monitor their performance and health. It requires a valid Vault token for authorization.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

VMware vSphere and OpenObserve

This plugin collects metrics from VMware vSphere using the vSphere API, including data from clusters, hosts, VMs, datastores, and vSAN. It supports various configuration options to tailor data collection to specific monitoring needs and enhances visibility into the performance of virtual environments.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Ceph and OpenObserve

This plugin collects performance metrics from Ceph storage clusters, enhancing observability and facilitating better management. It retrieves data from both MON and OSD nodes, allowing administrators to monitor the health and performance of their storage system.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

DNS and OpenObserve

This plugin collects DNS query times and provides key metrics for performance monitoring. It allows users to gain insights into the resolution times from specified DNS servers, helping identify potential issues in DNS performance.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

ctrlX Data Layer and OpenObserve

This plugin gathers data from the ctrlX Data Layer middleware used in professional automation applications. It allows for detailed monitoring and configuration options tailored to specific operational requirements.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Nvidia SMI and OpenObserve

This plugin collects GPU statistics from the NVIDIA System Management Interface (SMI), including memory usage, temperature, and more. It utilizes the `nvidia-smi` binary to extract real-time performance metrics from NVIDIA GPUs.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Intel PowerStat and OpenObserve

This plugin captures essential power and performance metrics for Intel CPUs, allowing users to optimize workloads and improve energy efficiency. It aids in telemetry and analytics efforts related to CPU usage, temperature, and power consumption.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

iptables and OpenObserve

The iptables input plugin gathers metrics on packet and byte counters for specified rules within the Linux iptables firewall, allowing for effective monitoring of network traffic through defined rules.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

InfiniBand and OpenObserve

This plugin collects metrics from InfiniBand devices and ports on Linux systems. It monitors various performance indicators including error rates and packet statistics.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Wireguard and OpenObserve

The Wireguard input plugin gathers stats from Wireguard interfaces and their peers, facilitating effective monitoring. By utilizing the wgctrl library, it provides key metrics to administrators for enhanced network management.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Kibana and OpenObserve

This plugin queries the Kibana API to fetch the service status and provides various performance metrics. It helps in monitoring Kibana's health, such as its uptime and resource usage efficiently.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Cisco Model-Driven Telemetry and OpenObserve

This plugin provides an input method for collecting telemetry data from Cisco devices using model-driven telemetry techniques. It supports flexible transport options and real-time data accessibility.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Fireboard and OpenObserve

The Fireboard plugin collects real-time temperature data from Fireboard thermometers. This allows for precise monitoring of temperature-sensitive environments.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Icinga and OpenObserve

The Icinga2 Plugin collects real-time status of services and hosts from Icinga2's Remote API. This helps in maintaining an updated view of system health and performance metrics across your infrastructure.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

IPMI Sensor and OpenObserve

This plugin retrieves sensor data using the IPMI protocol through the `ipmitool`. It can gather metrics from local and remote servers, allowing for enhanced monitoring of hardware status.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

IPVS and OpenObserve

This input plugin captures metrics for IPVS virtual and real servers. It leverages the Linux kernel's netlink interface for data collection, providing insights into server performance and connections.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

JTI OpenConfig Telemetry and OpenObserve

The JTI OpenConfig Telemetry plugin facilitates the collection of telemetry data from devices using the Junos Telemetry Interface in real-time. It enables flexible configurations including device addresses, user credentials, and sensor management.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Kernel and OpenObserve

This plugin gathers Linux kernel statistics not captured by other plugins, focusing on system metrics and entropy availability.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Apache Aurora and OpenObserve

The Aurora plugin collects metrics from Apache Aurora schedulers, facilitating monitoring and operational oversight. It interfaces efficiently with the schedulers to provide key performance metrics essential for cluster health assessment.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Azure Storage Queue and OpenObserve

The Azure Storage Queue plugin collects metrics about Azure Storage Queues, focusing on size and message age. It helps improve operational oversight of storage resources in Azure.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Arista LANZ and OpenObserve

The Arista LANZ plugin reads metrics from Arista's Latency Analyzer (LANZ) to help monitor network performance. It utilizes a TCP connection to gather data in a Protobuffers format.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Phillips Hue Bridge and OpenObserve

The Hue Bridge plugin enables the monitoring of Philips Hue Bridge devices. It collects various metrics related to lighting and environmental conditions from smart home systems.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

Netflow and OpenObserve

This plugin collects flow data using Netflow v5, v9 and IPFIX protocols, providing insights into network traffic patterns and behaviors. By leveraging this plugin, organizations can enhance their network monitoring capabilities and gain visibility into real-time traffic flows.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

KNX and OpenObserve

This plugin captures data from the KNX home-automation bus through a KNX-IP interface. It supports customizable measurement definitions and real-time event listening for enhanced smart home automation.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

ntpq and OpenObserve

Collects metrics from NTP servers using the ntpq executable to monitor time synchronization performance. Key metrics include delay, jitter, offset, and polling information for effective timekeeping.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

MavLink and OpenObserve

The MavLink input plugin allows the collection of telemetry data from flight controllers, enabling real-time monitoring of unmanned systems. It supports diverse connection methods, including TCP and UDP, while offering configuration flexibility for message filtering.
Stream metrics from Telegraf to OpenObserve over HTTP using the JSON serializer for schema-compliant, high-throughput ingestion.

AMQP RabbitMQ Performance Metrics

AMQP Consumer Telegraf Input Plugin provides a consumer for use with AMQP 0-9-1.

Aerospike Monitoring

The Aerospike Input Plugin queries Aerospike servers and gets node statistics.

Alerta Monitoring

Sends alerts for consolidation and de-duplication via a JSON API.

Alibaba CloudMonitor Service (Aliyun)

The Alibaba CloudMonitor Service (Aliyun) Telegraf Input Plugin pulls metric statistics from Aliyun CMS.

Amazon CloudWatch Logs Output Telegraf Plugin

The Amazon CloudWatch Logs Output Telegraf Plugin allows you to send logs from your applications and infrastructure to AWS CloudWatch.

Amazon CloudWatch Monitoring

The Amazon CloudWatch Output Telegraf Plugin sends metrics to Amazon CloudWatch.

Amazon CloudWatch Statistics Telegraf Input Plugin

The Amazon CloudWatch Statistics Input Plugin pulls metric statistics from AWS CloudWatch.

Amazon ECS Metrics

Amazon ECS input plugin gathers stats on running containers in a task.

Amazon Kinesis Monitoring

The Amazon Kinesis Consumer Input Plugin reads from a Kinesis data stream.

Apache ActiveMQ Monitoring

The ActiveMQ input plugin gathers queues, topics, and subscriber metrics.

Apache Aurora Schedulers Monitoring

The Aurora Input Plugin gathers metrics from an Apache Aurora Scheduler.

Apache HTTP Server Metrics

The Apache HTTP Server Input Plugin collects server performance information.

Apache Iceberg + InfluxDB

Easily query, write, and manage data in InfluxDB using Java.

Apache Kafka Burrow Monitoring

The Burrow Input Plugin collects Apache Kafka topic, consumer, and partition status.

Apache Kafka Monitoring Tool

The Apache Kafka Consumer input plugin polls a specified Kafka topic.

Apache Mesos Monitoring

The Apache Mesos input plugin gathers metrics from Mesos.

Apache Solr Telegraf Monitoring

The Apache Solr Input Plugin collects stats using the MBean Request Handler.

Apache Superset

Apache Superset is a data visualization tool that makes it easy to build charts and dashboards which display data from a number of different data sources.

Apache Tomcat Monitoring

The Apache Tomcat input plugin collects statistics available from the manager status page.

Apache Zipkin Monitoring

The Zipkin plugin gathers trace and timing data to troubleshoot latency problems.

Apache Zookeeper Monitoring

The Zookeeper Input Plugin reads `mntr` stats and collects the outputted variables.

Apcupsd Monitoring

The Apcupsd plugin reads data from an apcupsd daemon, facilitating power management and control.

Arista Lanz Consumer Monitoring

The Arista LANZ Consumer plugin provides a consumer for use with LANZ.

Azure Data Explorer Telegraf Output Plugin

The Azure Data Explorer output plugin writes metrics to Azure Data Explorer.

Azure Storage Queue Monitoring

The Azure Storage Queue plugin gathers sizes of Azure Storage Queues.

BIND 9 DNS Server Monitoring

This plugin decodes the JSON or XML statistics provided by BIND 9 nameservers.

Bcache Telegraf Monitoring

The Bcache plugin gets statistics from the `stats_total` directory and `dirty_data` file.

Beanstalkd Monitoring

The Beanstalkd input plugin collects server stats as well as tube stats.

Beat Telegraf Plugin

The Beat Input Plugin collects metrics from Beat instances.

Bond Interfaces Monitoring

The Bond Input Plugin collects network bond interface and slaves interfaces status.

C# and InfluxDB

Code in C# with InfluxDB to query, write, and manage data.

CPU Performance Metrics

The CPU Telegraf input plugin gathers metrics about CPU usage.

Cassandra Metrics Monitoring

This plugin collects Cassandra 3 / JVM metrics exposed as MBean attributes.

Ceph Storage Platform Monitoring

This input plugin collects performance metrics from the MON and OSD nodes.

Chrony Network Time Protocol Monitoring

The Chrony input plugin gets standard chrony metrics, requires chrony executable.

Cisco Model-Driven Telemetry Monitoring

This input plugin consumes telemetry data from various Cisco platforms.

Cisco gNMI Telemetry Monitoring

This input plugin consumes telemetry data similar to the GNMI specification.

Connection Tracking “Conntrack” Monitoring

The Conntrack Input Plugin collects stats from Netfilter's conntrack-tools.

Consul Monitoring

Collect statistics about all health checks registered in the Consul (via the Consul API).

Control Groups Monitoring

The CGroup input plugin captures specific statistics per cgroup.

CouchDB Performance Database Monitoring

Gather the statistics specific to the internals of CouchDB.

Couchbase Server Monitoring

This plugin allows you to read per-node (memory) and per-bucket (quota, disk, memory) metrics from Couchbase.

DNS Query Monitoring

The DNS Query Telegraf Plugin gathers DNS query times in milliseconds.

Disk Telegraf Monitoring

The Disk Telegraf Plugin gathers metrics about disk usage by mount point.

DiskIO Metrics for Monitoring

The DiskIO Input Plugin gathers metrics about Disk I/O by device.

Docker Container Monitoring

Metrics from the Docker engine API.

Dovecot Protocol Monitoring

Dovecot is an open source IMAP and POP3 email server for Linux/UNIX-like systems, written with security primarily in mind.

Elasticsearch Search Engine Monitoring

Elasticsearch is a search engine based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.

Ethtool Command Monitoring

The Ethtool Telegraf Plugin gathers ethernet device statistics.

Event Hub Consumer Telegraf Plugin

The Azure Event Hub Consumer Telegraf Input Plugin collects metrics from Azure Event and IoT Hubs.

Fail2ban Monitoring

The Fail2ban input plugin gathers counts of failed and banned IP addresses.

Fibaro System Monitoring

The Fibaro input plugin makes HTTP calls to the Fibaro controller API.

FireBoard Thermometer Monitoring

The Fireboard input plugin gathers real time temperature data from Fireboard thermometers.

GitHub Metrics for Monitoring

GitHub Telegraf Input Plugin gathers repository information from GitHub-hosted repositories.

Go and InfluxDB

Build IoT, analytics, and cloud applications using the Go client library with InfluxDB.

Google Cloud PubSub Push Telegraf Input Plugin

This plugin listens for messages sent using HTTP POST requests from Google Cloud PubSub.

Google Data Studio Monitoring

Data Studio Connector lets users query datasets from InfluxDB v2 instances through the InfluxDB API.

Google Stackdriver Metrics

The Stackdriver Input Plugin gathers metrics from the Stackdriver Monitoring API.

Graylog Monitoring Metrics

Data from remote Graylog service URLs (multiple & namespaces endpoints).

HTTP Listener v2 Monitoring

This is a service input plugin that listens for metrics sent via HTTP.

Hddtemp Monitoring

The Hddtemp Input Plugin reads data from `hddtemp` daemons.

High Availability Proxy Metrics

The HAproxy input plugin gathers metrics directly from any running HAproxy instance.

HipChat Monitoring

Sends alerts via HipChat webservice for group chat, video chat & screensharing.

Hue Bridge Telegraf Input Plugin

The Hue Bridge Telegraf Input Plugin gathers smart home statistics from Hue Bridge devices.

IPMI Sensor Monitoring

This input plugin queries the local machine or remote host sensor statistics.

IPtables Monioring

The IPtables Input Plugin gathers packets and bytes counters for rules.

Icinga 2 Monitoring

The Icinga 2 Input Plugin gathers status on running services and hosts.

InfluxDB Scraper

InfluxDB scrapers collect data from specified targets at regular intervals, then write the scraped data to an InfluxDB bucket.

Internet Speed Monitor Telegraf Input Plugin

The Internet Speed Monitor Telegraf Input Plugin collects data about the internet speed for a system.

Interrupts Monitoring

The Interrupts Telegraf Plugin gathers metrics about IRQs, including `interrupts`.

Ipset Monitoring

The Ipset input plugin gathers packets and bytes counters from Linux `ipset`.

JTI OpenConfig Telemetry Monitoring

This input plugin reads Juniper Networks implementation of OpenConfig telemetry data.

Java and InfluxDB

Easily query, write, and manage data in InfluxDB using Java.

JavaScript and InfluxDB

Build IoT, analytics, and cloud applications using the Javascript client library with InfluxDB.

Jenkins API Monitoring

This plugin collects information about the nodes (disk, mem, swap, etc) and jobs running in a jenkins instance (duration, result_code).

Jolokia2 Agent Telegraf Input Plugin

This input plugin reads JMX metrics from Jolokia agent REST endpoints.

KNX Telegraf Input Plugin

The KNX Telegraf Input Plugin listens for messages on the KNX (Konnex) home-automation bus.

Kapacitor and Slack Metrics

Sends alerts to IT, Ops & Dev teams for on-call duty & escalation via instant messaging communication platform.

Kepware OPC Monitoring

Collecting and storing tag data, at scale, with Kepware and InfluxDB is easy.

Kernel Input Monitoring

The Kernel Input Plugin gathers kernel statistics from `/proc/stat`.

Kernel VMStat Telegraf Input Plugin

The Kernel VMStat Input Plugin gathers virtual memory statistics from /proc/vmstat.

Kubernetes Inventory Monitoring

Generates metrics derived from the state of the various Kubernetes resources.

Kubernetes Monitoring

Pods/containers metrics (cpu, mem, disk, etc) from the kubelet API.

LeoFS Monitoring Integration

LeoFS is a highly available, distributed, eventually consistent object/blob store.

Linux Sysctl FS Monitoring

The Linux Sysctl FS Inputl Plugin provides Linux system level file metrics.

Lustre Monitoring Tool

Monitors Lustre using Proc filesystem.

MQTT Consumer Telegraf Input Plugin

The MQTT Consumer Telegraf Input Plugin allows you to receive messages from MQTT brokers.

MQTT Native Collector

Connect MQTT broker directly to InfluxDB.

MQTT Producer Telegraf Output Plugin

The MQTT Producer Telegraf Output Plugin allows you to send messages to MQTT brokers from Telegraf.

MailChimp Metrics Monitoring

Pulls email campaign reports from the Mailchimp API.

Mcrouter Monitoring

The Mcrouter Input Plugin gathers statistics data from a mcrouter instance.

Mem Monitoring

The Mem Input Plugin collects system memory metrics.

Memcached Monitoring Integration

Memcached is a free and open source, high-performance, distributed memory object caching system, generic in nature, but intended for use in speeding up dynamic web applications by alleviating database load.

Mesosphere DC/OS Telegraf Input Plugin

The Mesosphere DC/OS input plugin gathers metrics from a DC/OS cluster's metrics component.

Microsoft Azure Monitor Telegraf Output Plugin

The Microsoft Azure Monitor Output Plugin sends custom metrics to Microsoft Azure Monitor.

Microsoft Power BI

Microsoft SQL Server Monitoring

This plugin provides metrics for your SQL Server instance. It currently works with SQL Server 2008 SP3 and newer.

Modbus Master Monitoring

The Modbus Input Plugin collects `discrete_inputs`, `coils`, `input_registers` and `holding_registers`.

MongoDB Performance Monitoring Database

MongoDB is a free and open-source cross-platform document-oriented database program, published under the GNU Affero General Public License.

Monit Management and Monitoring

This input plugin gathers metrics and status information about systems managed by Monit.

MySQL Performance Monitoring Database

MySQL is an open-source relational database management system (RDBMS).

NATS Server Analytics Monitoring

NATS Server is a simple, high performance open source messaging system for cloud native applications, IoT messaging, and microservices architectures.

NSQ Monitoring

NSQ is a real-time messaging platform that's distributed, scalable, ops-friendly, and integrated.

NVIDIA SMI Telegraf Input Plugin

The NVIDIA SMI input plugin pulls GPU stats from the NVIDIA SMI binary.

Neptune Apex Monitoring

The Neptune Apex controller family allows an aquarium hobbyist to monitor and control their tanks based on various probes.

Net Monitoring

The Net input plugin gathers metrics about network interface usage (Linux only).

Netstat Telegraf Input Plugin

The Netstat Input Plugin gathers TCP metrics such as established, time-wait and sockets counts.

Network Response Monitoring

This plugin tests UDP/TCP connections response time and can optional verify text in the response.

Nginx Monitoring

nginx [engine x] is an HTTP and reverse proxy server, a mail proxy server, and a generic TCP/UDP proxy server, originally written by Igor Sysoev.

OPC Unified Architecture Monitoring

OPC-UA Telegraf plugin enables avoiding paying excessive fees to build collectors to gather information into your traditional historian solution.

OpenNTPD Monitoring

The OpenNTPD input plugin gathers standard Network Time Protocol (NTP) query metrics.

OpsGenie Monitoring

Sends alerts to IT, Ops & Dev teams for on-call duty & escalation.

PF Monitoring

The PF input plugin gathers information from the FreeBSD/OpenBSD pf firewall.

PHP-FPM Monitoring

PHP-FPM (FastCGI Process Manager) is an alternative PHP FastCGI implementation with some additional features useful for sites of any size, especially busier sites.

PagerDuty System Monitoring

Keep track of operations and trigger notification conditionals so decrease time reacting to incidents.

PgBouncer Monitoring

The PgBouncer Telegraf Input Plugin gathers metrics from PgBouncer.

Phusion Passenger Monitoring

Phusion Passenger provides easy, scalable and reliable web app deployment for Ruby, Python, Node.js, and Meteor.

Ping ICMP Monitoring

This plugin measures the round-trip for ping commands, response time, and other packet statistics.

PostgreSQL Database System Monitoring

PostgreSQL is a powerful, open source object-relational database system. It has more than 15 years of active development and a proven architecture.

PostgreSQL Output Plugin

PostgreSQL Output plugin writes metrics to PostgreSQL sources.

PowerDNS Monitoring Integration

This input plugin gathers metrics about PowerDNS using UNIX sockets.

PowerDNS Recursor Monitoring

The PowerDNS Recursor Input Plugin gathers metrics about PowerDNS Recursor using UNIX sockets.

Processes Monitoring

The Processes input plugin gathers info about the total number of processes.

Procstat Monitoring

The procstat input plugin collects process performance and usage data.

Prometheus Client Telegraf Output Plugin

The Prometheus Client Output Plugin exposes metrics for Prometheus servers to poll.

Prometheus System Monitoring Tool

Metrics from HTTP servers exposed in the Prometheus format.

Prometheus Telegraf Input Plugin

The Prometheus input plugin gathers metrics from HTTP servers.

Puppet Monitoring Tool

Puppet monitoring tool overlooks the status of the server—the success or failure of actual puppet runs on the end nodes themselves.

Python and InfluxDB

Use the Python Client Library to write and query InfluxDB.

Quix for InfluxDB

You can use Quix to query, analyze, and act on data without learning a new scripting syntax.

RabbitMQ Monitoring Cluster

RabbitMQ is open source message broker software (sometimes called message-oriented middleware) that implements the Advanced Message Queuing Protocol (AMQP)

Redis Sentinel Monitoring

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker.

RethinkDB Monitoring

RethinkDB is a free and open-source, NoSQL, distributed document-oriented database originally created by the company of the same name.

Ruby and InfluxDB

Managing, querying, and writing data with Ruby in InfluxDB.

S.M.A.R.T. Monitoring

The S.M.A.R.T input plugin collects data about hard drive health across your system.

SNMP Agent Protocol Monitoring

This plugin is commonly used for bandwidth monitoring by collecting and organizing information about devices on IP networks.

Sampled Flow Monitoring

The sFlow Input Plugin provides support for acting as an sFlow V5 collector in accordance with the specification from sflow.org.

Scala and InfluxDB

Using Scala with InfluxDB to handle data queries, writing, and management.

Sensors Data Monitoring

The Sensors Input Plugin collects sensor metrics from the `lm-sensor` package.

Siemens S7 Comm Telegraf Input Plugin

The Siemens S7 Comm Telegraf Input Plugin gathers data from Siemens PLC using the gos7 library.

Socket Listener Monitoring

The Socket Listener Input Plugin listens for messages from streaming or datagram protocols.

Suricata Telegraf Input Plugin

The Suricata Input Plugin reports internal performance counters of the Suricata IDS/IPS engine.

Swap Memory Monitoring

Supports: Linux only. The Swap Input Plugin gathers metrics about swap memory usage.

Synproxy Telegraf Input Plugin

The Synproxy Input Plugin gathers Synproxy metrics. Synproxy is a Linux netfilter module used for SYN attack mitigation.

Syslog Server Monitoring

Syslog is a protocol standard that describes how log messages should be formatted and transmitted.

Sysstat Performance Monitoring

The sysstat input plugin collects system performance and usage data.

System Metrics for Monitoring

The System input plugin gathers stats on system load, uptime, and number of users logged in.

Temp Telegraf Input Plugin

The Temp Input Plugin gathers metrics on system temperature.

Unbound Telegraf Input Plugin

The Unbound Input Plugin gathers statistics from Unbound, a validating, recursive, and caching DNS resolver.

VMware vSphere Monitoring

The VMware vSphere input plugin uses the vSphere API to gather metrics from multiple vCenter servers.

Vector

The Vector ecosystem integration writes observability data to InfluxDB.

VictorOps Incident Management Monitoring

Sends alerts to IT, Ops & Dev teams for on-call duty & escalation.

Windows OS Services Monitoring

The Windows Services input plugin reports Windows services info.

Windows Performance Counters Monitoring

The Windows Performance Counters input plugin reads Performance Counters on the Windows operating system.

Wireless Telegraf Input Plugin

The Wireless Input Plugin gathers metrics about wireless link quality.

X.509 Certificate Monitoring

The X.509 Certificate input plugin provides information about X.509 certificate.

ZFS Telegraf Input Plugin

The ZFS Input Plugin collects metrics from ZFS file systems.