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Distributed Tracing with Jaeger

Why Distributed Tracing

Picture a global postal system. A single package travels through multiple hubs, trucks, and planes before reaching its destination. If the package is delayed, how do you know where it got stuck? Kubernetes microservices face the same challenge: a single user request may pass through dozens of services. Without tracing, debugging performance issues is nearly impossible.

Distributed Tracing was born as the tracking system of microservices, and Jaeger became one of the most popular tools to implement it.


Jaeger – The Request Tracker

  • Definition: Jaeger is an open‑source distributed tracing system, originally developed by Uber.
  • Key Features:
    • End‑to‑end tracing of requests across microservices.
    • Latency analysis to find bottlenecks.
    • Root cause detection for failures.
    • Integration with Kubernetes and service meshes (e.g. Istio).
  • Analogy: Jaeger is like the GPS tracker for packages - showing every stop along the delivery route.

Distributed Tracing

  • Instrumentation: Applications are instrumented with tracing libraries (OpenTelemetry).
  • Trace IDs: Each request gets a unique ID, passed along microservices.
  • Spans: Each service records its part of the request as a span.
  • Visualization: Jaeger assembles spans into a timeline, showing the full journey.

Analogy: Tracing is like tracking a package with checkpoints - you see exactly where delays occur.


Global Context

  • Enterprises: Use Jaeger to debug complex microservice architectures and improve performance.
  • Cloud Providers: Managed Kubernetes services integrate Jaeger with observability stacks.
  • Community: Jaeger is a CNCF project, widely adopted for tracing in cloud‑native systems.

Hands‑On Exercise

  1. Instrument an application with OpenTelemetry:
    • Add tracing libraries to your microservice.
    • Configure it to send traces to Jaeger.
    • Open http://localhost:16686 to view traces.
  2. Reflect: How does tracing complement monitoring and logging by showing the journey of requests across services?

Access Jaeger UI:

kubectl port-forward svc/jaeger-query 16686:16686 -n observability

Deploy Jaeger in Kubernetes:

kubectl create namespace observability
kubectl apply -n observability -f https://github.com/jaegertracing/jaeger-operator/releases/download/v1.45.0/jaeger-operator.yaml

The Hacker’s Notebook

  • Tracing is GPS - tracking requests across services.
  • Jaeger is the dashboard - visualizing bottlenecks and delays.
  • Lesson for engineers: Monitoring shows health, logging shows events, tracing shows journeys.
  • Hacker’s mindset: Treat tracing as your detective tool. With Jaeger, you can uncover hidden bottlenecks in distributed systems.

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Updated on Dec 29, 2025