- cross-posted to:
- [email protected]
- cross-posted to:
- [email protected]
Prometheus will soon include support for ingesting OpenTelementry metrics into the platform. Even if you understood all of those words, you might be asking, “so what?”. This is a big deal for observability (fancy name for monitoring) as it is getting us one step closer to using a single agent to collect all observability telemetry (logs, metrics, traces) from servers.
Currently you would need to use something like fluentbit/fluentd to collect logs, Prometheus exporter for metrics, and OpenTelemetry for traces. There are many other tools you might use instead, but these are my current picks. If you are running VMs or physical servers, that means installing/managing three different pieces of software to cover everything. If you are running containers, that could mean up to 3 separate sidecar containers per application container within the same group/task/pod.
OpenTelementry is being positioned as a one-stop-shop for collecting and working with the three streams of telemetry data (logs, metrics, traces). Currently only trace support is production ready, but work is well under way to getting support for logs and metrics to be the ready for prime time.
There has been huge moves across the industry to add support for working with OTLP (OpenTelemetry Protocol) data streams. Prometheus is becoming the most popular backend for storing and alerting on metric data. The current blocker has been native support for OTLP ingestion and incompatible metric naming.
According to this blog post, we are close to getting these 2 issues resolved.
https://last9.io/blog/native-support-for-opentelemetry-metrics-in-prometheus/