ln-627-observability-auditor

You can audit observability implementations by evaluating logging, health checks, metrics, and tracing to identify visibility gaps. This process validates structured logging, health endpoints, metrics collection, and request tracing across distributed architectures, outputting a detailed markdown report with findings and a score.

Structured logging validation ensures logs include proper levels and structures for easy parsing in production environments. It checks that web services and microservices implement appropriate log levels and formatting, enabling teams to reach production-grade visibility and generate actionable remediation guidance.

Checking for health endpoints and metrics instrumentation involves verifying standard endpoints like /health, /ready, and /live, while discovering metrics collection counters, histograms, and gauges. This validates that web services maintain proper health checks and metrics collection for production readiness.

Yes, you can validate request tracing and correlation IDs across distributed architectures. The validation checks trace propagation across services, ensuring distributed systems maintain proper request tracing and correlation ID implementation for comprehensive observability coverage.

Yes, the observability audit works for both monoliths and distributed microservices architectures in production. It evaluates logging, health checks, metrics, and tracing implementations regardless of architecture type, generating a detailed markdown report with findings and a score for any web service codebase.