implement-observability

To implement structured logging and distributed tracing for production services, use OpenTelemetry to instrument searchable JSON logs, collect performance metrics, and propagate correlation IDs across services for end-to-end request visibility.

The three pillars of observability are structured logging, metrics collection, and distributed tracing. They improve service visibility by enabling searchable logs, performance monitoring, and request flow analysis to pinpoint intermittent production failures.

To set up correlation IDs for tracing requests across microservices, propagate unique identifiers through your service calls. This ensures requests can be traced across services, linking logs, metrics, and traces for comprehensive debugging.

Common observability anti-patterns when adding monitoring to a service include failing to propagate correlation IDs, using unstructured logs, and setting improper alerting thresholds. Following OpenTelemetry practices helps avoid these visibility and debugging issues.

Yes, you can use OpenTelemetry to instrument business metrics and set up alerting thresholds. This involves collecting custom metrics for business operations and defining thresholds to trigger alerts for critical service issues.