python-observability

Guides instrumentation of Python applications so production failures can be diagnosed through logs, metrics, and traces.

When to use it

Use when adding structured logging, collecting Prometheus metrics, setting up distributed tracing, propagating correlation IDs, debugging production issues, or building observability dashboards.

It changes how the agent instruments Python applications, using structured logging, correlated requests, bounded metrics, and distributed tracing.