monitoring-setup

To set up observability in Kubernetes microservices, configure liveness, readiness, and startup health endpoints, expose Prometheus metrics using RED/USE frameworks, and implement OpenTelemetry tracing with W3C trace context propagation across services.

The best way to configure SLO-based alerts is to define alerting rules using burn-rate calculations and link them directly to operational runbooks, ensuring operators have guided incident response steps directly within Grafana dashboards.

Yes, you can use OpenTelemetry tracing to propagate W3C trace context across microservices and downstream calls, enabling end-to-end visibility in distributed systems deployed in Kubernetes or similar environments.

Yes, this monitoring setup applies to microservices architectures across multiple languages and runtimes, enabling standardized Prometheus-compatible metrics collection for request rate, latency, errors, and resource utilization.

You need both RED and USE metrics to cover service health comprehensively: RED tracks request rate, errors, and duration for user-facing traffic, while USE monitors resource utilization, saturation, and errors for infrastructure capacity.

Without dashboards and runbooks, observability instrumentation lacks operational guidance, leaving operators without visual context or step-by-step instructions to troubleshoot incidents and resolve SLO-based alerts effectively.