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Observability

To properly understand what is going on inside your application, you can collect a whole range of telemetry.

An application is properly instrumented when developers donโ€™t need to add more instrumentation to troubleshoot an issue, because they have all of the information they need.
https://opentelemetry.io/docs/concepts/observability-primer/

You can bring your own observability stack. Arrower does not force you into any specific direction, our recommendation is however: Grafana, Loki, Prometheus, and Tempo.

For metrics and traces Arrower uses OTEL, for logging the new slog from the Go standard library.

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Screenshot how logs & trances & metrics are linked in Grafana

To quickstart your development the docker-compose.yaml file contains everything you need locally and can give inspiration on how to setup your own infrastructure.



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Show dashboard with some interesting charts & queries

  • Number of http requests
  • Number of application functions called
  • Number of Jobs
  • Average response times
  • Number of failures