observability

Distributed tracing maps request flows across microservices by instrumenting services with OpenTelemetry to emit traces, enabling end-to-end visibility for issue diagnosis and performance optimization in distributed systems.

Adding correlation IDs to structured logging enables end-to-end traceability across services, allowing teams to quickly diagnose and fix production issues by tracking request flows through correlated log entries.

Health checks and readiness endpoints determine service readiness in distributed systems by collecting metrics and exposing endpoints, providing real-time performance visibility through dashboards to monitor system health.

This observability approach applies to microservices and distributed systems by instrumenting existing services to emit logs, traces, and metrics without requiring complete rewrites, supporting end-to-end visibility.

Distributed tracing maps request flows across services while metrics collection provides real-time performance visibility through dashboards; together they enable end-to-end visibility and quick issue diagnosis.

OpenTelemetry for observability suits microservices and distributed systems needing end-to-end visibility; simpler monolithic applications with basic logging needs may not require distributed tracing and metrics collection overhead.