golang-observability

Yes, OpenTelemetry tracing integrates across Go services to enforce context propagation and correlate traces with structured slog logs. This ensures distributed traces map directly to application events for end-to-end visibility.

The best way to set up profiling and Real User Monitoring is using on-demand pprof or Pyroscope for server profiling, while coordinating RUM hooks with GDPR-conscious privacy consent. This captures runtime performance alongside frontend user behavior.

Yes, you can use Prometheus histograms to measure and export latency metrics from Go services. This captures request duration distributions, enabling accurate percentile calculations for production latency monitoring and alerting.

Trace context propagation matters in observability because it links distributed service calls to structured logs and metrics across Go service boundaries. This correlation prevents blind spots when diagnosing cross-service latency or runtime failures in production.

You need structured logging with slog to properly correlate application events with OpenTelemetry traces in Go services. This enforces consistent log formatting and injects trace identifiers directly into log records for unified debugging.