service-mesh-observability

Service mesh observability requires implementing a stack for tracing, metrics, and logs. You can identify and configure a comprehensive monitoring deployment using templates for Istio, Linkerd, Prometheus, and Jaeger to diagnose latency and map dependencies across microservices.

Golden signals for service mesh monitoring include latency, traffic, errors, and saturation. Defining alerts and dashboards around these metrics allows you to monitor mesh performance and enforce SLOs across your cloud-native microservices.

Distributed tracing in Istio or Linkerd is implemented by integrating collection backends like Jaeger and OpenTelemetry. This enables end-to-end observability, allowing you to visualize request paths and diagnose dependency relationships within the mesh.

Yes, you can use Grafana and Prometheus to build dashboards and configure alerts for service meshes. This integration provides visualization for collected metrics, enabling you to monitor mesh latency, track errors, and enforce SLOs.

Yes, this observability approach applies to both Istio and Linkerd. It provides templates and best practices to enforce SLOs across microservices by tracking golden signals and visualizing dependencies regardless of the specific mesh deployment.