How does it handle high-traffic environments?

It helps implement sampling strategies to manage trace volume and costs while ensuring you capture the most relevant data for performance analysis.

Can I use this for existing microservices?

Absolutely. The skill can analyze your existing codebase and provide the necessary code snippets and configuration edits to add tracing to established services.

Which tracing backends does this skill support?

The skill supports popular tracing backends including Jaeger, Zipkin, and Datadog, providing specific configuration generation for each.

Does this skill work with OpenTelemetry?

Yes, it is designed to implement OpenTelemetry standards for instrumentation, span creation, and trace collection.

Distributed Tracing Setup

Name: Distributed Tracing Setup
Author: jeremylongshore

byjeremylongshore

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883

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分析と監視

Automates the implementation of end-to-end observability and distributed tracing across microservices architectures.

The Distributed Tracing Setup skill streamlines the complex process of instrumenting microservices for full request visibility. It guides developers through selecting tracing backends like Jaeger or Zipkin, generating OpenTelemetry instrumentation code, and configuring critical context propagation across service boundaries. By automating the setup of spans and trace collection, this skill helps teams rapidly identify performance bottlenecks, troubleshoot high-latency requests, and maintain a robust observability stack within distributed systems.

主な機能

01Configuration generation for Jaeger, Zipkin, and Datadog backends

02Cross-service trace context propagation implementation

03Sampling strategy configuration for high-traffic environments

04883 GitHub stars

05Automated OpenTelemetry instrumentation for multiple services

06Latency and performance bottleneck troubleshooting

ユースケース

01Debugging slow checkout or payment flows across distributed systems

02Implementing observability standards like OpenTelemetry across a repository

03Adding end-to-end tracing to a new microservice in a complex stack

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills distributed-tracing-setup

For use in Claude.ai and ChatGPT

Download Skill

主な機能

01Configuration generation for Jaeger, Zipkin, and Datadog backends

02Cross-service trace context propagation implementation

03Sampling strategy configuration for high-traffic environments

04883 GitHub stars

05Automated OpenTelemetry instrumentation for multiple services

06Latency and performance bottleneck troubleshooting

ユースケース

01Debugging slow checkout or payment flows across distributed systems

02Implementing observability standards like OpenTelemetry across a repository

03Adding end-to-end tracing to a new microservice in a complex stack

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills distributed-tracing-setup

For use in Claude.ai and ChatGPT

Download Skill