go-observability

You enable end-to-end observability in Go services by integrating log/slog for structured logging and OpenTelemetry for distributed tracing across service boundaries. This provides context-rich events and reliable trace propagation.

The best way to collect metrics and health checks in Go services is by using OpenTelemetry and Prometheus. This approach ensures metric naming conventions are followed and provides reliable performance monitoring for production environments.

Yes, OpenTelemetry tracing can be used with Go background workers. The observability setup applies to HTTP handlers, background workers, and microservices, ensuring trace context propagation and telemetry collection across different execution models.

Graceful shutdown of telemetry providers in Go is handled by safely flushing and closing OpenTelemetry and logging pipelines. This ensures all traces, metrics, and structured logs are properly exported before the service terminates.

Structured logs and trace context propagation are needed in Go observability to correlate events across distributed service boundaries. Using log/slog and OpenTelemetry provides context-rich data essential for troubleshooting and performance tuning.