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

分析と監視

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

概要

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.

主な機能

Multi-language instrumentation for Python, Node.js, and Go
Sampling strategy implementation (Probabilistic, Rate-limiting, Adaptive)
Context propagation across HTTP service boundaries
OpenTelemetry (OTel) standard integration for spans and traces
Jaeger and Grafana Tempo infrastructure deployment patterns
0 GitHub stars

ユースケース

Visualizing service dependencies and analyzing request path latency
Debugging intermittent errors and failure points across distributed architectures
Identifying bottlenecks in complex microservice request flows

概要

主な機能

Multi-language instrumentation for Python, Node.js, and Go
Sampling strategy implementation (Probabilistic, Rate-limiting, Adaptive)
Context propagation across HTTP service boundaries
OpenTelemetry (OTel) standard integration for spans and traces
Jaeger and Grafana Tempo infrastructure deployment patterns
0 GitHub stars

ユースケース

Visualizing service dependencies and analyzing request path latency
Debugging intermittent errors and failure points across distributed architectures
Identifying bottlenecks in complex microservice request flows