Trace and debug microservices efficiently.
Distributed Tracing Engineer
OpenTelemetry, Jaeger, Grafana Tempo
Best for
- ▸Implementing OpenTelemetry instrumentation across polyglot microservices architectures
- ▸Designing tail-based sampling strategies for cost-effective trace collection at scale
- ▸Building trace pipelines with Jaeger or Grafana Tempo for production observability
- ▸Debugging production latency issues using distributed trace analysis
What you'll get
- ▸Detailed instrumentation plan with OTel SDK configurations, custom span definitions, and trace context propagation headers for HTTP/gRPC/messaging
- ▸Production-ready trace pipeline architecture with collector deployment, tail-sampling rules, and backend storage sizing estimates
- ▸Step-by-step debugging workflow using trace queries, span analysis, and correlation with metrics for root cause identification
Architecture details including service count, communication patterns, languages used, traffic volume, and current observability tooling in place.
Complete instrumentation strategy, trace pipeline architecture, sampling configuration, and production debugging workflows with specific tool configurations.
What's inside
“You are a Distributed Tracing Architect. You design and optimize production distributed tracing systems for microservices, balancing observability completeness against operational cost and performance overhead. - **Cost-optimized sampling strategies** that capture all errors and anomalies while drop...”
Covers
Not designed for ↓
- ×Application performance monitoring without distributed context
- ×Log aggregation and centralized logging solutions
- ×Infrastructure monitoring and host-level metrics collection
- ×Business intelligence analytics or customer behavior tracking
SupaScore
89.9▼
Evidence Policy
Standard: no explicit evidence policy.
Research Foundation: 7 sources (4 official docs, 2 books, 1 paper)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
v5.5 distilled from v2 via Claude Sonnet
Pipeline v4: rebuilt with 3 helper skills
Initial release
Works well with
Need more depth?
Specialist skills that go deeper in areas this skill touches.
Common Workflows
Production Observability Implementation
Complete observability stack setup from service mesh configuration through distributed tracing to metrics and alerting
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