service-mesh-observability

Service mesh observability for Istio uses out-of-the-box templates for Prometheus and Grafana to collect metrics and build dashboards. You can monitor golden signals, visualize topology, and track microservices health across the mesh.

Golden signals for service mesh health include metrics for latency, traffic, errors, and saturation. Monitoring these signals across microservices helps you observe, diagnose, and optimize cross-service communications and SLOs.

Yes, service mesh observability integrates Jaeger tracing and OpenTelemetry for Linkerd deployments. This combination provides end-to-end tracing to troubleshoot latency issues, error rates, and dependencies across microservices.

You can troubleshoot latency and error rates by applying guided best practices for alerting rules and topology visualizations. This approach diagnoses cross-service communication issues and optimizes mesh performance.

Yes, the observability patterns apply to Istio, Linkerd, and general service mesh deployments. It enables teams to observe, diagnose, and optimize cross-service communications across different mesh implementations.

OpenTelemetry integration provides end-to-end tracing and monitoring across your service mesh. It combines metrics, traces, and logs to fulfill requirements for golden signals, dashboards, and comprehensive microservices debugging.