Which service meshes are supported by this skill?

This skill provides specific templates and guidance for both Istio and Linkerd, including their respective visualization and telemetry stacks.

Can I use this for OpenTelemetry migrations?

Yes, the skill includes patterns for integrating the OpenTelemetry Collector and configuring Istio Telemetry v2 with OTLP.

How does it help with service visualization?

It provides configuration templates for Kiali and Grafana Node Graphs to help you map out service-to-service dependencies and traffic flow.

Does it include pre-built alerting rules?

Yes, it provides PrometheusRule templates for critical alerts like high error rates, P99 latency spikes, and mesh certificate expiration.

Service Mesh Observability

Name: Service Mesh Observability
Author: sla-te

bysla-te

0•

分析与监控

Implements comprehensive monitoring, distributed tracing, and visualization for Istio and Linkerd service mesh environments.

This skill provides a complete framework for establishing deep observability within service mesh architectures. It equips developers and DevOps engineers with standardized patterns for the 'Three Pillars of Observability'—metrics, logs, and traces—while focusing on the Golden Signals of microservices. By providing production-ready templates for Prometheus, Grafana, Jaeger, and Kiali, it simplifies the process of debugging latency issues, defining SLOs, and visualizing complex service dependencies. Whether you are migrating to Istio or optimizing Linkerd, this skill ensures your cloud-native infrastructure is transparent, measurable, and resilient.

主要功能

01Pre-configured Prometheus metrics and Grafana dashboard JSON templates

02Real-time service dependency and topology visualization with Kiali

030 GitHub stars

04Distributed tracing integration with Jaeger and Zipkin for request tracking

05Golden Signal monitoring patterns for Latency, Traffic, Errors, and Saturation

06Automated alerting rules for mesh health, 5xx errors, and certificate expiration

使用场景

01Troubleshooting intermittent latency and 5xx errors across microservice architectures

02Defining and monitoring Service Level Objectives (SLOs) for inter-service communication

03Implementing OpenTelemetry-based observability for standardized telemetry collection

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sla-te/copilot-converter service-mesh-observability

For use in Claude.ai and ChatGPT

Download Skill