observability

Instrument Go services for end-to-end observability by applying code patterns for OpenTelemetry traces, Prometheus metrics, and slog-based structured logs. This integration provides unified visibility into request flows, latency, and service behavior to diagnose production issues.

Set up OpenTelemetry tracing and Prometheus metrics in Go by using provided code patterns to initialize tracing and export metrics. This captures request flows across services and monitors latency, error rates, and resource usage for operational reliability.

Yes, you can use slog for structured logging alongside OpenTelemetry in a Go backend. The skill provides safe defaults for configuring contextual, machine-parseable logs that integrate seamlessly with tracing and metrics instrumentation.

Health checks and Grafana dashboards are needed for Go service reliability to ensure observability coverage. Implementing health endpoints allows you to monitor service status, while dashboards visualize the collected metrics and traces for operational insights.

Yes, this observability instrumentation applies specifically to backend Go services requiring operational reliability. It delivers targeted code patterns for initializing tracing, exporting metrics, and configuring logging within the Go environment using safe defaults.

Observability is often fragmented because developers lack unified visibility into service behavior. Unify traces, metrics, and logs by applying integrated code patterns for OpenTelemetry, Prometheus, and slog to diagnose, monitor, and optimize Go service performance.