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Welcome to Jaeger’s documentation portal! Below, you’ll find information for beginners and experienced Jaeger users.

If you can’t find what you are looking for, or have an issue not covered here, we’d love to hear from you.

If you are new to distributed tracing, please take a look at the Related Links section below.


Jaeger, inspired by Dapper and OpenZipkin, is a distributed tracing system released as open source by Uber Technologies. It is used for monitoring and troubleshooting microservices-based distributed systems, including:

  • Distributed context propagation
  • Distributed transaction monitoring
  • Root cause analysis
  • Service dependency analysis
  • Performance / latency optimization

Uber published a blog post, Evolving Distributed Tracing at Uber, where they explain the history and reasons for the architectural choices made in Jaeger. Yuri Shkuro, creator of Jaeger, also published a book Mastering Distributed Tracing that covers in-depth many aspects of Jaeger design and operation, as well as distributed tracing in general.


  • OpenTracing compatible data model and instrumentation libraries
  • Uses consistent upfront sampling with individual per service/endpoint probabilities
  • Multiple storage backends: Cassandra, Elasticsearch, memory.
  • System topology graphs
  • Adaptive sampling
  • Post-collection data processing pipeline (coming soon)

See Features page for more details.

Technical Specs

Quick Start

See running a docker all in one image.


Traces View

Traces View

Trace Detail View

Detail View