observability-sentinel

Instrument microservices with OpenTelemetry by applying auto-instrumentation and manual spans to generate traces, metrics, and logs. This enforces proper span propagation across backend services to achieve end-to-end observability.

Correlate structured logs with traces by designing JSON logs that include correlation IDs and trace context. This bridges logs, metrics, and traces to link related events across distributed systems.

Configure Node.js logging libraries like Winston and Pino by implementing structured JSON logging with trace context. This emits correlated logs that support observability driven development and unify visibility.

The Golden Signals for monitoring distributed systems health are latency, traffic, errors, and saturation. Setting up these signals monitors service performance and identifies bottlenecks across microservices.

You need structured logging and correlation IDs in a distributed system when debugging requests across microservices. They link related events across services to provide unified visibility into application behavior.

Observability-sentinel supports configuring Python logging alongside Node.js instrumentation. It generates OpenTelemetry traces and JSON-structured logs to verify end-to-end observability across multiple backend languages.