Icinga and Mimir Integration

Powerful performance with an easy integration, powered by Telegraf, the open source data connector built by InfluxData.

info

This is not the recommended configuration for real-time query at scale. For query and compression optimization, high-speed ingest, and high availability, you may want to consider Icinga and InfluxDB.

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Time series database
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Table of Contents

Powerful Performance, Limitless Scale

Collect, organize, and act on massive volumes of high-velocity data. Any data is more valuable when you think of it as time series data. with InfluxDB, the #1 time series platform built to scale with Telegraf.

See Ways to Get Started

Input and output integration overview

This plugin gathers services & hosts status using Icinga2 Remote API, providing an interface to monitor your infrastructure effectively.

This plugin sends Telegraf metrics directly to Grafana’s Mimir database using HTTP, providing scalable and efficient long-term storage and analysis for Prometheus-compatible metrics.

Integration details

Icinga

The Icinga2 Plugin enables users to gather status information from Icinga2’s Remote API. Icinga2 is a powerful monitoring system that checks the health of hosts and services and provides detailed monitoring capabilities. The plugin facilitates retrieving metrics such as the state of hosts and services, as well as detailed API status metrics. This integration is vital for users looking to keep an eye on their infrastructure’s health and performance metrics automatically, leveraging the Icinga2’s extensive API. By utilizing this plugin, users can easily integrate Icinga2 monitoring data with other systems, providing a comprehensive view of their infrastructure status.

Mimir

Grafana Mimir supports the Prometheus Remote Write protocol, enabling Telegraf collected metrics to be efficiently ingested into Mimir clusters for large-scale, long-term storage. This integration leverages Prometheus’s well-established standards, allowing users to combine Telegraf’s extensive data collection capabilities with Mimir’s advanced features, such as query federation, multi-tenancy, high availability, and cost-efficient storage. Grafana Mimir’s architecture is optimized for handling high volumes of metric data and delivering fast query responses, making it ideal for complex monitoring environments and distributed systems.

Configuration

Icinga

[[inputs.icinga2]]
  ## Required Icinga2 server address
  # server = "https://localhost:5665"

  ## Collected Icinga2 objects ("services", "hosts")
  ## Specify at least one object to collect from /v1/objects endpoint.
  # objects = ["services"]

  ## Collect metrics from /v1/status endpoint
  ## Choose from:
  ##     "ApiListener", "CIB", "IdoMysqlConnection", "IdoPgsqlConnection"
  # status = []

  ## Credentials for basic HTTP authentication
  # username = "admin"
  # password = "admin"

  ## Maximum time to receive response.
  # response_timeout = "5s"

  ## Optional TLS Config
  # tls_ca = "/etc/telegraf/ca.pem"
  # tls_cert = "/etc/telegraf/cert.pem"
  # tls_key = "/etc/telegraf/key.pem"
  ## Use TLS but skip chain & host verification
  # insecure_skip_verify = true

Mimir

[[outputs.http]]
  url = "http://data-load-balancer-backend-1:9009/api/v1/push"
  data_format = "prometheusremotewrite"
  username = "*****"
  password = "******"
  [outputs.http.headers]
     Content-Type = "application/x-protobuf"
     Content-Encoding = "snappy"
     X-Scope-OrgID = "****"

Input and output integration examples

Icinga

  1. Centralized Monitoring Dashboard: Integrate the Icinga2 plugin with a visualization tool to create a centralized monitoring dashboard that presents real-time statuses of all monitored services and hosts. This setup allows teams to quickly identify issues and to respond proactively, ensuring minimal downtime.

  2. Automated Incident Response: Use the metrics collected by the plugin to trigger automated incident response workflows. For instance, if a service is reported as critical, an automated system could notify relevant team members and even attempt to restart the service, reducing manual intervention and speeding resolution times.

  3. Service Reliability Reporting: Combine data from the Icinga with business reporting systems to generate insights on service reliability. By analyzing trends in service states over time, organizations can identify weak points in their infrastructure and improve service availability based on factual data.

  4. Cross-System Alerting: Leverage the collected metrics to integrate with various alerting systems. This could route notifications based on specific Icinga2 service states to different departments or teams depending on their roles, enabling tailored and timely responses to potential issues in the infrastructure.

Mimir

  1. Enterprise-Scale Kubernetes Monitoring: Integrate Telegraf with Grafana Mimir to stream metrics from Kubernetes clusters at enterprise scale. This enables comprehensive visibility, improved resource allocation, and proactive troubleshooting across hundreds of clusters, leveraging Mimir’s horizontal scalability and high availability.

  2. Multi-tenant SaaS Application Observability: Use this plugin to centralize metrics from diverse SaaS tenants into Grafana Mimir, enabling tenant isolation and accurate billing based on resource usage. This approach provides reliable observability, efficient cost management, and secure multi-tenancy support.

  3. Global Edge Network Performance Tracking: Stream latency and availability metrics from globally distributed edge servers into Grafana Mimir. Organizations can quickly identify performance degradation or outages, leveraging Mimir’s fast querying capabilities to ensure optimal service reliability and user experience.

  4. Real-Time Analytics for High-Volume Microservices: Implement Telegraf metrics collection in high-volume microservices architectures, feeding data into Grafana Mimir for real-time analytics and anomaly detection. Mimir’s powerful querying enables teams to detect anomalies and quickly respond, maintaining high service availability and performance.

Feedback

Thank you for being part of our community! If you have any general feedback or found any bugs on these pages, we welcome and encourage your input. Please submit your feedback in the InfluxDB community Slack.

Powerful Performance, Limitless Scale

Collect, organize, and act on massive volumes of high-velocity data. Any data is more valuable when you think of it as time series data. with InfluxDB, the #1 time series platform built to scale with Telegraf.

See Ways to Get Started

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