Icinga in Your Observability Stack: Metrics via OpenTelemetry
Send Icinga 2 performance data to Prometheus, Grafana Mimir, Datadog, Elasticsearch and any OTLP-compatible backend with the new OTLPMetricsWriter in v2.16.
Icinga 2 in the OpenTelemetry Ecosystem
In this hands-on webinar, we walk you through the OTLPMetricsWriter, the new feature in Icinga 2 v2.16 that exports check plugin performance data as OpenTelemetry-compliant metrics via the OTLP HTTP protocol.
You will see how to enable the writer, point it at an OpenTelemetry Collector or directly at a backend that accepts OTLP, and pipe Icinga metrics into platforms like Prometheus, Grafana Mimir, VictoriaMetrics, Datadog, Elasticsearch, OpenSearch, Splunk, New Relic, and Dynatrace – using a single configuration object and no intermediate translation layer.
We will also cover what changes for existing setups: how the OTLPMetricsWriter runs alongside Graphite, InfluxDB, and Icinga DB, and how high availability is handled inside Icinga 2 cluster zones.
Date: June 30, 2026
Time: 3 PM – 4 PM CEST | Convert to your local time
In this session, we’ll cover:
- Turning Icinga performance data into OpenTelemetry Gauge metrics
- Configuring the
OTLPMetricsWriterfor the Collector, Prometheus, and VictoriaMetrics - Exporting warning, critical, min, and max thresholds as metrics
- Enriching metrics with host and service resource attributes
- Running the
OTLPMetricsWriterin HA cluster zones - Interactive Q&A session
This session is for engineers running Icinga 2 alongside Prometheus, Grafana, or any other OTLP-compatible backend. We focus on configuration, integration paths, and how the OTLPMetricsWriter fits into an existing Icinga setup.
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About Icinga
Icinga is a powerful open-source monitoring solution designed for enterprises of all sizes looking to monitor complex IT infrastructures reliably. Based in Nuremberg, Icinga delivers software that is flexible, transparent, and fully open source. Trusted by IT teams around the world, Icinga helps monitor servers, networks, cloud systems, and Kubernetes environments efficiently and at scale.
