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Distributed Tracing

ASecurity

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.

  • 3 stars
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  • Added September 8, 2026
developmentdebuggingapidatabasefrontendperformance

Works with

  • api

Security analysis

A100/100

Scanned September 8, 2026

npx -y skills add agisota/old-one --skill distributed-tracing --agent claude-code

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SKILL.md
---
triggers:
  - "distriuuted tracing"
name: distributed-tracing
description: 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.
---

# 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


## Note
Skill content truncated for token efficiency. Full version available in the source repository.

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