Icinga and SigNoz Integration
Powerful performance with an easy integration, powered by Telegraf, the open source data connector built by InfluxData.
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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.
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Input and output integration overview
This plugin gathers services & hosts status using Icinga2 Remote API, providing an interface to monitor your infrastructure effectively.
This configuration turns any Telegraf agent into a Remote Write publisher for SigNoz, streaming rich metrics straight into the SigNoz backend with a single URL change.
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.
SigNoz
SigNoz is an open source observability platform that stores metrics, traces, and logs. When you deploy SigNoz, its signoz-otel-collector-metrics service exposes a Prometheus Remote Write receiver (default :13133/api/v1/write). By configuring Telegraf’s Prometheus plugin to point at this endpoint, you can push any Telegraf collected metrics, SNMP counters, cloud services, or business KPIs—directly into SigNoz. The plugin natively serializes metrics in the Remote Write protobuf format, supports external labels, metadata export, retries, and TLS or bearer-token auth, so it fits zero-trust and multi-tenant SigNoz clusters. Inside SigNoz, the data lands in ClickHouse tables that back Metrics Explorer, alert rules, and unified dashboards. This approach lets organizations unify Prometheus and OTLP pipelines, enables long-term retention powered by ClickHouse compression, and avoids vendor lock-in while retaining PromQL-style queries.
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
SigNoz
[[outputs.prometheusremotewrite]]
## SigNoz OTEL-Collector metrics endpoint (Prometheus Remote Write receiver)
## Default port is 13133 when you install SigNoz with the Helm chart
url = "http://signoz-otel-collector-metrics.monitoring.svc.cluster.local:13133/api/v1/write"
## Add identifying labels so you can slice & dice the data later
external_labels = { host = "${HOSTNAME}", agent = "telegraf" }
## Forward host metadata for richer dashboards (SigNoz maps these to ClickHouse columns)
send_metadata = true
## ----- Authentication (comment out what you don’t need) -----
# bearer_token = "$SIGNOZ_TOKEN" # SaaS tenant token
# basic_username = "signoz" # Basic auth (self-hosted)
# basic_password = "secret"
## ----- TLS options (for SaaS or HTTPS self-hosted) -----
# tls_ca = "/etc/ssl/certs/ca.crt"
# tls_cert = "/etc/telegraf/certs/telegraf.crt"
# tls_key = "/etc/telegraf/certs/telegraf.key"
# insecure_skip_verify = false
## ----- Performance tuning -----
max_batch_size = 10000 # samples per POST
timeout = "10s"
retry_max = 3
Input and output integration examples
Icinga
-
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.
-
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.
-
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.
-
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.
SigNoz
-
Multi-Cluster Federated Monitoring: Drop a Telegraf DaemonSet into each Kubernetes cluster, tag metrics with
cluster=<name>
, and Remote Write them to a central SigNoz instance. Ops teams get a single PromQL window across prod, staging, and edge clusters without running Thanos sidecars. -
Factory-Floor Edge Gateway: A rugged Intel NUC on the shop floor runs Telegraf to scrape Modbus PLCs and environmental sensors. It batches readings every 5 seconds and pushes them over an intermittent 4G link to SigNoz SaaS. ClickHouse compression keeps costs low while AI-based outlier detection in SigNoz flags overheating motors before failure.
-
SaaS Usage Metering: Telegraf runs alongside each micro-service, exporting per-tenant counters (
api_calls
,gigabytes_processed
). Remote Write streams the data to SigNoz where a scheduled ClickHouse materialized view aggregates usage for monthly billing—no separate metering stack required. -
Autoscaling Feedback Loop: Combine Telegraf’s Kubernetes input with the Remote Write output to publish granular pod CPU and queue-length metrics into SigNoz. A custom SigNoz alert fires when P95 latency breaches 200 ms and a GitOps controller reads that alert to trigger a HorizontalPodAutoscaler tweak—closing the loop between observability and automation.
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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