Which programming languages are covered for instrumentation?

It includes detailed instrumentation examples for Python (Flask), Node.js (Express), and Go using the OpenTelemetry SDKs.

Does it support log correlation?

Yes, the skill provides best practices for injecting trace IDs into application logs to enable seamless jumping between traces and logs during debugging.

What tracing backends does this skill support?

This skill provides configuration and deployment patterns for both Jaeger and Grafana Tempo, supporting both small-scale and production-grade observability stacks.

Can I configure sampling to reduce performance overhead?

Yes, it includes patterns for probabilistic sampling, rate-limiting, and adaptive sampling to ensure minimal impact on application performance while capturing critical data.

How does it handle trace context propagation?

The skill implements standard W3C Trace Context headers (traceparent and tracestate) to ensure traces are maintained across different services and languages.

Distributed Tracing & Observability

Name: Distributed Tracing & Observability
Author: HermeticOrmus

byHermeticOrmus

0•

분석 및 모니터링

Implements end-to-end request tracking and performance monitoring across microservices using Jaeger and Tempo.

This skill enables Claude to implement robust distributed tracing systems using OpenTelemetry standards, providing deep visibility into microservice architectures. It offers comprehensive patterns for instrumenting Python, Node.js, and Go applications, setting up Jaeger or Grafana Tempo backends via Kubernetes or Docker Compose, and analyzing trace data to resolve latency issues. By integrating trace context propagation and log correlation, it helps developers identify performance bottlenecks, visualize service dependencies, and debug complex error propagation in distributed systems.

주요 기능

01Multi-language instrumentation for Python, Node.js, and Go

02Sampling strategy implementation (Probabilistic, Rate-limiting, Adaptive)

03Context propagation across HTTP service boundaries

04OpenTelemetry (OTel) standard integration for spans and traces

05Jaeger and Grafana Tempo infrastructure deployment patterns

060 GitHub stars

사용 사례

01Visualizing service dependencies and analyzing request path latency

02Debugging intermittent errors and failure points across distributed architectures

03Identifying bottlenecks in complex microservice request flows

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hermeticormus/hermetic-line distributed-tracing

For use in Claude.ai and ChatGPT

Download Skill