Instrument Distributed Tracing
技能 已验证 活跃Instrument applications with OpenTelemetry for distributed tracing, including auto and manual instrumentation, context propagation, sampling strategies, and integration with Jaeger or Tempo. Use when debugging latency issues in distributed systems, understanding request flow across microservices, correlating traces with logs and metrics for root cause analysis, measuring end-to-end latency, or migrating from legacy tracing systems to OpenTelemetry.
Implement OpenTelemetry distributed tracing to gain deep visibility into request flows, debug latency issues, and correlate observability signals across microservices.
功能
- OpenTelemetry auto-instrumentation for common frameworks
- Manual span creation with best practices
- Context propagation across services (HTTP, Kafka)
- Configuration of sampling strategies
- Integration with Jaeger and Grafana Tempo
- Correlation of traces with logs and metrics
使用场景
- Debugging latency issues in distributed systems
- Understanding request flow across microservices
- Correlating traces with logs and metrics for root cause analysis
- Measuring end-to-end latency
- Migrating from legacy tracing systems to OpenTelemetry
非目标
- Acting as a distributed tracing backend itself
- Providing generic code generation outside of instrumentation examples
- Managing application deployment or infrastructure beyond basic backend setup examples
工作流
- Set Up Tracing Backend (Jaeger/Tempo)
- Instrument Applications (Auto-Instrumentation)
- Add Manual Instrumentation for Business Logic
- Implement Context Propagation
- Configure Sampling Strategies
- Correlate Traces with Metrics and Logs
实践
- Observability
- Distributed Systems
- Code Instrumentation
先决条件
- An AI agent capable of following procedural documentation and executing code snippets
- An environment where OpenTelemetry can be configured and run (e.g., access to Jaeger or Tempo)
安装
/plugin install agent-almanac@pjt222-agent-almanac质量评分
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