distributed-tracing - Distributed Tracing for Microservices
Implement distributed tracing with Jaeger and Tempo to track requests across microservices
Tags
Updated: 2026-06-30Capabilities
Typical Inputs
Typical Outputs
What this skill does
- deploy Jaeger instance
- deploy Tempo instance
- instrument applications
- propagate trace context
- configure sampling strategies
- query trace data
- visualize service dependencies
- analyze performance bottlenecks
Inputs
- Kubernetes cluster
- Docker environment
- Application code
- Elasticsearch backend
- S3 storage bucket
- API endpoints
- Collector endpoints
- Sampling parameters
- Trace query parameters
Outputs
- Trace records
- Performance metrics
- Dependency graphs
- Error logs
- Latency reports
Requirements
- Kubernetes access
- Docker runtime
- Network connectivity
- Storage backend
- OpenTelemetry SDK
- Service endpoints