neolink-gateway-setup

Add request tracing and structured logging to a gateway service by instrumenting it with middleware that generates unique request IDs and captures request bodies. This provides full context for debugging and correlating logs across services.

Yes, you can instrument observability on existing FastAPI or Fastify gateways. The framework-agnostic approach applies plugins and middleware directly to your current services, upgrading them with Prometheus metrics and health endpoints without requiring a rewrite.

The best way to capture request bodies for gateway debugging is using structured logging middleware. This records the full payload context alongside request IDs, making it significantly easier to troubleshoot failures and diagnose issues in gateway requests quickly.

Yes, this observability instrumentation supports Go and Python gateways. It applies to Node.js (Fastify/Express), Go (Gin/Chi), and Python (FastAPI/Flask) runtimes, enabling consistent request tracing and metrics across different technology stacks.

You need request-id propagation in gateway metrics to correlate logs across distributed services. Propagating unique identifiers through tracing allows you to track a single request's journey, satisfying production requirements and simplifying failure troubleshooting.

Expose Prometheus metrics and health endpoints in a gateway by applying observability middleware. This instruments your service to emit compatible metrics and health checks, monitoring gateway performance and reliability for production environments.