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Getting Started

Get up and running with Jaeger in your local environment

If you are new to distributed tracing, please check the Introduction page.


Your applications must be instrumented before they can send tracing data to Jaeger. We recommend using the OpenTelemetryexternal link instrumentation and SDKs.

Historically, the Jaeger project supported its own SDKs (aka tracers, client libraries) that implemented the OpenTracing API. The Client Libraries section provides information about how to use the OpenTracing API and how to initialize and configure Jaeger tracers. As of 2022, the Jaeger SDKs are no longer supported, and all users are advised to migrate to OpenTelemetry.

All in One

All-in-one is an executable designed for quick local testing, launches the Jaeger UI, jaeger-collector, jaeger-query, and jaeger-agent, with an in memory storage component.

The simplest way to start the all-in-one is to use the pre-built image published to DockerHub (a single command line).

docker run -d --name jaeger \
  -p 6831:6831/udp \
  -p 6832:6832/udp \
  -p 5778:5778 \
  -p 16686:16686 \
  -p 4317:4317 \
  -p 4318:4318 \
  -p 14250:14250 \
  -p 14268:14268 \
  -p 14269:14269 \
  -p 9411:9411 \

Or run the jaeger-all-in-one(.exe) executable from the binary distribution archives :


You can then navigate to http://localhost:16686 to access the Jaeger UI.

The container exposes the following ports:

6831UDPagentaccept jaeger.thrift over Thrift-compact protocol (used by most SDKs)
6832UDPagentaccept jaeger.thrift over Thrift-binary protocol (used by Node.js SDK)
5775UDPagent(deprecated) accept zipkin.thrift over compact Thrift protocol (used by legacy clients only)
5778HTTPagentserve configs (sampling, etc.)
16686HTTPqueryserve frontend
4317HTTPcollectoraccept OpenTelemetry Protocol (OTLP) over gRPC, if enabled
4318HTTPcollectoraccept OpenTelemetry Protocol (OTLP) over HTTP, if enabled
14268HTTPcollectoraccept jaeger.thrift directly from clients
14250HTTPcollectoraccept model.proto
9411HTTPcollectorZipkin compatible endpoint (optional)

With Service Performance Monitoring (SPM)

Please refer to Service Performance Monitoring (SPM) .

Kubernetes and OpenShift

Sample App: HotROD

HotROD (Rides on Demand) is a demo application that consists of several microservices and illustrates the use of the OpenTracing APIexternal link . A tutorial / walkthrough is available in the blog post: Take OpenTracing for a HotROD rideexternal link .

It can be run standalone, but requires Jaeger backend to view the traces.


  • Discover architecture of the whole system via data-driven dependency diagram.

  • View request timeline and errors; understand how the app works.

  • Find sources of latency and lack of concurrency.

  • Highly contextualized logging.

  • Use baggage propagation to:

    • Diagnose inter-request contention (queueing).
    • Attribute time spent in a service.
  • Use open source libraries with OpenTracing integration to get vendor-neutral instrumentation for free.



From Source

mkdir -p $GOPATH/src/
cd $GOPATH/src/
git clone jaeger
cd jaeger
go run ./examples/hotrod/main.go all

From docker

docker run --rm -it \
  --link jaeger \
  -p8080-8083:8080-8083 \
  -e JAEGER_AGENT_HOST="jaeger" \
  jaegertracing/example-hotrod:1.45 \

From binary distribution

Run example-hotrod(.exe) executable from the binary distribution archives :

example-hotrod all

Then navigate to http://localhost:8080.

Migrating from Zipkin

jaeger-collector service exposes Zipkin compatible REST API /api/v1/spans which accepts both Thrift and JSON. Also there is /api/v2/spans for JSON and Proto. By default it’s disabled. It can be enabled with

Zipkin Thriftexternal link IDL and Zipkin Protoexternal link IDL files can be found in jaegertracing/jaeger-idlexternal link repository. They’re compatible with openzipkin/zipkin-apiexternal link Thriftexternal link and Protoexternal link .