golang-observability

Instrument Go services by setting up structured slog logging, Prometheus metrics, and OpenTelemetry tracing together. This correlated observability setup ensures you can diagnose latency, errors, and saturation issues quickly during production incidents.

Secure pprof profiling endpoints by using environment-variable toggling to control exposure and applying secure routing patterns. This prevents unauthorized access to sensitive runtime profiling data while allowing continuous profiling when needed.

Correlate OpenTelemetry traces with slog logs by passing the request context into your logging calls. This context propagation links trace IDs and span IDs directly to log entries for unified incident diagnosis.

Prevent high-cardinality issues by following Prometheus best practices for label selection, using Histograms for latency distributions, and avoiding user IDs or unbounded values as metric labels to protect database performance.

Implement GDPR-compliant server-side RUM by capturing backend events with immutable user IDs and enforcing consent-aware tracking rules. This approach handles privacy compliance requirements while monitoring user experience events.

Set up multi-window burn-rate SLO alerts by defining PromQL queries for golden signals coverage and aligning them with Grafana dashboards. This enables precise detection of service level objective violations across latency and error rate thresholds.