Can I use this for distributed tracing?

Yes, it includes comprehensive templates for setting up Jaeger and OpenTelemetry to track requests and identify bottlenecks across your service architecture.

Which service meshes does this skill support?

The skill primarily supports Istio and Linkerd, providing configuration templates, CLI commands, and dashboard definitions for both popular service mesh technologies.

How does it help with troubleshooting connectivity?

The skill provides patterns for Kiali and Linkerd Viz to visualize service dependencies and 'tap' live traffic to inspect communication issues in real-time.

Is it compatible with OpenTelemetry?

Yes, the skill includes specific integration patterns for the OpenTelemetry Collector and Istio Telemetry v2 to modernize your observability pipeline.

Does it provide ready-made dashboards?

It includes specialized PromQL queries and a complete Grafana JSON dashboard template for visualizing request rates, error rates, and latency.

Service Mesh Observability

Name: Service Mesh Observability
Author: gwickman

bygwickman

0•

Analytics & Monitoring

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

This skill provides a complete framework for establishing deep observability within service mesh environments. It streamlines the setup of metrics, logs, and traces by providing pre-configured templates for Prometheus, Grafana, Jaeger, and Kiali. Designed for cloud-native engineers, it enables rapid debugging of latency issues, the definition of service-level objectives (SLOs), and the visualization of complex service dependencies. Whether you are managing Istio or Linkerd, this skill helps you maintain high reliability by monitoring 'Golden Signals' and implementing standardized alerting rules for microservices.

Key Features

01Distributed tracing integration using Jaeger and OpenTelemetry

02Pre-configured Istio and Linkerd monitoring templates

03Advanced PromQL queries for request rates, P99 latency, and error tracking

04Service topology visualization via Kiali and Grafana Node Graphs

05Standardized alerting rules for service mesh health and certificate expiration

060 GitHub stars

Use Cases

01Setting up a production-ready monitoring stack for a new Kubernetes service mesh

02Establishing and monitoring SLOs for inter-service communication and dependency mapping

03Troubleshooting intermittent latency spikes and 5xx errors across microservices

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add gwickman/auto-dev-test-target-1 service-mesh-observability

For use in Claude.ai and ChatGPT

Download Skill