service-mesh-observability

Service mesh observability requires configuring distributed tracing, metrics collection, and visualization. This involves integrating Jaeger for tracing, Prometheus for metrics, and Grafana for dashboards to monitor inter-service communication and debug latency.

Golden signals for service mesh monitoring include latency, traffic, errors, and saturation. Observability setups track these signals across inter-service communication using metrics and tracing to identify performance bottlenecks and meet production readiness.

Yes, OpenTelemetry integration works with Prometheus and Jaeger to capture service mesh metrics and distributed tracing. This combination enables comprehensive observability by correlating traces with metrics for inter-service communication analysis.

Configuring SLOs and alerting rules for inter-service communication involves defining thresholds for golden signals like latency and error rates. Service mesh observability templates provide alerting rules that trigger when communication patterns violate these SLOs.

Visualizing service mesh metrics in Grafana requires configuring dashboards that aggregate Prometheus data and Jaeger traces. Pre-built templates map golden signals and inter-service communication patterns to Grafana panels for production readiness monitoring.