service-mesh-observability

Comprehensive observability for Istio and Linkerd service meshes with distributed tracing, metrics, and visualization. Complete guide to observability patterns for Istio, Linkerd, and service mesh deployments. - Covers three observability pillars: metrics (request rate, error rate, latency), traces (span context, dependencies, bottlenecks), and logs (access logs, error details) - Includes ready-to-use templates for Prometheus, Grafana, Jaeger, Kiali, and OpenTelemetry integration with Istio and Linkerd - Provides golden signals framework (latency, traffic, errors, saturation) with PromQL queries for P50/P99 latency, error rates, and service topology visualization - Features alerting rules for high error rates, latency spikes, and certificate expiration; sampling guidance and cardinality management best practices included - Setting up distributed tracing across services - Implementing service mesh metrics and dashboards - Debugging latency and error issues - Defining SLOs for service communication - Visualizing service dependencies - Troubleshooting mesh connectivity - Sample appropriately - 100% in dev, 1-10% in prod - Use trace context - Propagate headers consistently - Set up alerts - For golden signals - Correlate metrics/traces - Use exemplars - Retain strategically - Hot/cold storage tiers - Don't over-sample - Storage costs add up - Don't ignore cardinality - Limit label...