setting-up-distributed-tracing
について
このスキルは、マイクロサービスにおける分散トレーシングの設定を自動化し、エンドツーエンドのリクエスト可視性を実現します。ユーザーがオブザーバビリティやパフォーマンスのトラブルシューティングを必要とする際に、コンテキスト伝播、スパン作成、トレース収集を構成します。「トレーシングを設定して」や「マイクロサービスのOpenTelemetryを構成して」などのフレーズでプロンプトされた際にご利用ください。
クイックインストール
Claude Code
推奨/plugin add https://github.com/jeremylongshore/claude-code-plugins-plusgit clone https://github.com/jeremylongshore/claude-code-plugins-plus.git ~/.claude/skills/setting-up-distributed-tracingこのコマンドをClaude Codeにコピー＆ペーストしてスキルをインストールします
ドキュメント
Overview
This skill streamlines the process of setting up distributed tracing in a microservices environment. It guides you through the key steps of instrumenting your services, configuring trace context propagation, and selecting a backend for trace collection and analysis, enabling comprehensive monitoring and debugging.
How It Works
- Backend Selection: Determines the preferred tracing backend (e.g., Jaeger, Zipkin, Datadog).
- Instrumentation Strategy: Designs an instrumentation strategy for each service, focusing on key operations and dependencies.
- Configuration Generation: Generates the necessary configuration files and code snippets to enable distributed tracing.
When to Use This Skill
This skill activates when you need to:
- Implement distributed tracing in a microservices application.
- Gain end-to-end visibility into request flows across multiple services.
- Troubleshoot performance bottlenecks and latency issues.
Examples
Example 1: Adding Tracing to a New Microservice
User request: "setup tracing for the new payment service"
The skill will:
- Prompt for the preferred tracing backend (e.g., Jaeger).
- Generate code snippets for OpenTelemetry instrumentation in the payment service.
Example 2: Troubleshooting Performance Issues
User request: "implement distributed tracing to debug slow checkout process"
The skill will:
- Guide the user through instrumenting relevant services in the checkout flow.
- Provide configuration examples for context propagation.
Best Practices
- Backend Choice: Select a tracing backend that aligns with your existing infrastructure and monitoring tools.
- Sampling Strategy: Implement a sampling strategy to manage trace volume and cost, especially in high-traffic environments.
- Context Propagation: Ensure proper context propagation across all services to maintain trace continuity.
Integration
This skill can be used in conjunction with other plugins to automate the deployment and configuration of tracing infrastructure. For example, it can integrate with infrastructure-as-code tools to provision Jaeger or Zipkin clusters.
GitHub リポジトリ
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