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Jaeger: distributed tracing from discovery to expertise

A complete course on distributed tracing with Jaeger v2: concepts, installation, OpenTelemetry instrumentation, trace analysis, SPM, sampling, production storage and a comparison with Tempo.

8 chapters12 lessonsEN
At your pace, through practice.

By the end of this course you will be able to

  • Explain traces, spans and context propagation
  • Install and configure Jaeger v2
  • Instrument applications with OpenTelemetry
  • Troubleshoot with the Jaeger UI and SPM
  • Deploy Jaeger in production with sampling and persistent storage

🎯 Level : Intermediate👥 Who it is for : Developers, SREs and DevOps engineers who want to understand and troubleshoot requests in distributed architectures

LEARNING PATH

Course curriculum

0Course overview1 lesson
  1. Assessment quizQuiz · ⏱ 10 min
1Concepts and architecture1 lesson

Distributed tracing and Jaeger v2.

  1. Distributed tracing with JaegerArticle · ⏱ 3 min
2Installing Jaeger2 lessons

All-in-one, configuration and storage backends.

  1. Installing Jaeger v2Article · ⏱ 8 min
  2. Lab: Jaeger all-in-one and troubleshooting with HotRODHands-on lab · ⏱ 40 min · Level 2/5
3Instrumenting2 lessons

OpenTelemetry and HotROD.

  1. Instrumenting with OpenTelemetryArticle · ⏱ 6 min
  2. Lab: Instrument a Python application for JaegerHands-on lab · ⏱ 45 min · Level 3/5
4Analysing traces2 lessons

UI, critical path, SPM.

  1. Analysing traces in JaegerArticle · ⏱ 4 min
  2. Lab: Service Performance Monitoring (SPM)Hands-on lab · ⏱ 45 min · Level 3/5
5Production1 lesson

Sampling, storage, Kubernetes.

  1. Jaeger in productionArticle · ⏱ 4 min
6Comparison2 lessons

Tempo or Jaeger.

  1. Final Lab: Jaeger on Elasticsearch with tail samplingHands-on lab · ⏱ 1 h · Level 4/5
  2. Tempo or Jaeger?Article · ⏱ 3 min
7Best practices1 lesson

Recommended practices for running the product in production.

  1. Jaeger best practicesArticle · ⏱ 3 min

LEARN BY DOING

Use cases & applications

Diagnose latency

Find the span responsible on the critical path.

Understand an unfamiliar architecture

Graph of the actual dependencies.

Track service health

RED metrics derived from traces.

Reduce the cost of tracing

Tail sampling of the traces that matter.

Recommended prerequisites

OpenTelemetry: From Discovery to Expertise

What next?

Grafana Tempo: from discovery to expertiseSigNoz and ClickStack: observability on ClickHouseGrafana: From Discovery to Expertise

Frequently asked questions

Jaeger v1 or v2?

v2, built on the OpenTelemetry Collector, is the current version; v1 has reached end of life.

Do I need a Jaeger client in my code?

No: you use the OpenTelemetry SDKs, and Jaeger receives OTLP natively.

Which storage should I use in production?

Elasticsearch, OpenSearch or Cassandra, optionally with Kafka as a buffer; never in-memory storage.

Jaeger or Tempo?

Tempo is cheaper to run and integrates with Grafana; Jaeger offers a standalone UI and relies on indexed databases.