Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.
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What the file says
# Distributed Tracing
Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices.
## Purpose
Track requests across distributed systems to understand latency, dependencies, and failure points.
## When to Use
- Debug latency issues
- Understand service dependencies
- Identify bottlenecks
- Trace error propagation
- Analyze request paths
## Distributed Tracing Concepts
### Trace Structure
```
Trace (Request ID: abc123)
↓
Span (frontend) [100ms]
↓
Span (api-gateway) [80ms]
├→ Span (auth-service) [10ms]
└→ Span (user-service) [60ms]
└→ Span (database) [40ms]
```
### Key Components
- **Trace** - End-to-end request journey
- **Span** - Single operation within a trace
- **Context** - Metadata propagated between services
- **Tags** - Key-value pairs for filtering
- **Logs** - Timestamped events within a span
## Jaeger Setup
### Kubernetes Deployment
```bash
# Deploy Jaeger Operator
kubectl create namespace observability
kubectl create -f https://github.com/jaegertracing/jaeger-operator/releases/download/v1.51.0/jaeger-operator.yaml -n observability
# Deploy Jaeger instance
kubectl apply -f - <<EOF
…
The line at the top of this page pins the label git:20251120.50bf83d, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_kuageoervad6ija7
GET https://markdownregistry.com/api/v1/resolve?ref=hermeticormus/claude-code-game-development/distributed-tracing
GET https://markdownregistry.com/api/v1/blob/0373b1f4efea5f061002c3da868fbda7d053c437579ac7272e5066c022de73be
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