Service Mesh Observability

关于

This skill provides a complete framework for monitoring and troubleshooting complex service mesh environments like Istio and Linkerd. It equips users with standardized templates for setting up the 'three pillars' of observability—metrics, traces, and logs—while offering specific guidance on defining Service Level Objectives (SLOs) and tracking 'golden signals' across distributed architectures. Whether you are debugging cross-service latency or establishing a robust monitoring stack with Prometheus, Grafana, and Jaeger, this skill ensures best-practice implementation for resilient and transparent service communication.

主要功能

• Distributed tracing setup using Jaeger for end-to-end request visibility
• Golden signals monitoring for latency, traffic, errors, and saturation
• 23,139 GitHub stars
• Standardized alerting rules for high error rates and certificate expirations
• Pre-configured templates for Istio, Linkerd, and OpenTelemetry integration
• Advanced PromQL queries for real-time service mesh performance analysis

使用场景

• Debugging cross-service latency and connectivity issues in microservices
• Establishing service-level objectives (SLOs) for service-to-service communication
• Visualizing complex service dependencies and traffic flow using Kiali