service-mesh-observability

Distributed tracing in a service mesh correlates cross-service requests to pinpoint latency sources. You configure tracing within your mesh deployment to visualize dependencies and diagnose connectivity problems across microservices.

Golden signals dashboards visualize mesh performance metrics like latency, traffic, errors, and saturation. They provide health checks and monitor traffic to validate service level objectives across microservices.

Yes, this observability approach applies to Istio, Linkerd, and general mesh deployments. It enables monitoring traffic and validating SLOs across microservices regardless of the specific mesh implementation.

Validating SLOs requires defining measurable latency and error metrics within your service mesh. You correlate traces with metrics to troubleshoot mesh problems and verify end-to-end reliability.

Service mesh observability provides end-to-end visibility across microservices beyond standard metrics. It combines distributed tracing, performance dashboards, and SLO definitions to diagnose dependencies and latency errors.