service-mesh-observability

Service mesh observability is implemented by configuring distributed tracing, metrics collection, and dashboard-driven monitoring using Prometheus, Grafana, Jaeger, and Kiali to visualize service topology and latency.

Distributed tracing is used to follow requests across Istio or Linkerd services to pinpoint latency spikes, identify failure paths, and map service dependencies.

Yes, you can build Prometheus and Grafana dashboards to monitor service mesh health by visualizing request rates, error rates, saturation, and P99 latency for your deployment.

Yes, service mesh observability satisfies OpenTelemetry requirements alongside Prometheus and Jaeger to collect metrics, implement distributed tracing, and generate actionable telemetry data.

You create alerts and service-level objectives for mesh communication health by defining rules for certificate expiry, dependency issues, and error rates within your observability dashboards.

You need Kiali for service mesh observability to visualize service topology, map dependencies, and diagnose intermittent cross-service timeouts within your Istio or Linkerd deployment.