golang-observability

Instrument Go services using structured logging with slog, Prometheus-based metrics, and OpenTelemetry distributed tracing with otelhttp to achieve end-to-end production visibility and fast issue diagnosis.

Production Go observability requires a cohesive set of signals including logs, metrics, traces, profiling, and Real User Monitoring to prevent applications from drifting into unobservable darkness and enable measurable performance insights.

Yes, you can use slog for structured logging with optional bridges to existing loggers, alongside Prometheus-based metrics including histogram-based latency tracking and PromQL-ready documentation for comprehensive monitoring.

OpenTelemetry tracing uses otelhttp for HTTP propagation in Go services, with configurable trace-context propagation and sampling options to control how distributed traces are collected and analyzed across production environments.

On-demand profiling with pprof and Pyroscope, alongside server-side Real User Monitoring, is needed when you require fast diagnosis of performance bottlenecks and want to track user experiences with a privacy-conscious identity approach.