service-mesh-observability

What problem does it solve?

This Skill provides comprehensive observability for service meshes, enabling end-to-end visibility across metrics, traces, logs, and health of mesh deployments.

Core Features & Use Cases

• Distributed tracing across mesh traffic to identify latency sources and dependencies.
• Metrics collection and dashboards for golden signals (latency, traffic, errors, saturation) with tools like Prometheus, Grafana, Kiali, or Jaeger.
• Debugging workflows and SLO definitions to surface bottlenecks and dependencies for remediation.
• Use Case: When debugging an intermittent service latency, deploy the observability stack to collect traces, surface latency hotspots, and visualize service interactions.

Quick Start

Configure and run the observability stack for your mesh by enabling tracing, metrics collection, and dashboards in your environment.