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Discover top open-source software, updated regularly with real-world adoption signals.
Unified tracing, metrics, and context propagation for JVM applications
Kamon Telemetry provides a comprehensive suite of Scala libraries to collect metrics, propagate trace context, and generate distributed traces for JVM‑based services, simplifying observability across threads and microservices.
When teams consider Kamon, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Microservice latency analysis
Identify slow endpoints across services by correlating traces and latency metrics.
Resource usage monitoring
Track CPU, memory, and custom JVM metrics to trigger alerts before saturation.
Cross‑thread request tracing
Maintain trace context through async calls, enabling full request lifecycle visibility.
OpenTelemetry migration
Replace existing instrumentation with Kamon’s OTel bridge for seamless compatibility.
Kamon is written in Scala and runs on the JVM, so it works with Scala and any JVM language such as Java or Kotlin.
Kamon provides an OpenTelemetry bridge that can export traces and metrics to OTel‑compatible back‑ends, allowing hybrid or full migrations.
Kamon focuses on data collection; visualizing traces requires external tools like Jaeger, Zipkin, or Grafana.
Yes, Java projects can use Kamon, though the API is Scala‑centric and may need small interop wrappers.
The repository does not specify a license (NOASSERTION), so you should verify licensing before commercial use.
Project at a glance
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