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

Instrumentation

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

Historically, the Jaeger project supported its own SDKs (aka tracers, client libraries) that implemented the OpenTracing API. 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. It includes the Jaeger UI, jaeger-collector, and jaeger-query, 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 --rm --name jaeger \
  -e COLLECTOR_ZIPKIN_HOST_PORT=:9411 \
  -p 16686:16686 \
  -p 4317:4317 \
  -p 4318:4318 \
  -p 14250:14250 \
  -p 14268:14268 \
  -p 14269:14269 \
  -p 9411:9411 \
  jaegertracing/all-in-one:1.64.0

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

jaeger-all-in-one --collector.zipkin.host-port=:9411

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

The container exposes the following ports:

With Service Performance Monitoring (SPM)

Please refer to Service Performance Monitoring (SPM).

On Kubernetes

Please see Kubernetes Operator: https://github.com/jaegertracing/jaeger-operator 

Sample App: HotROD

HotROD (Rides on Demand) is a demo application that consists of several microservices and illustrates the use of OpenTelemetry  and distributed tracing. A tutorial / walkthrough is available in the blog post: Take Jaeger for a HotROD ride .

The HotROD app can be run standalone, but requires Jaeger backend to view the traces.

Features

• 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) and time spent in a service.
• Use open source libraries from opentelemetry-contrib to get vendor-neutral instrumentation for free.

Running

We recommend running Jaeger and HotROD together via docker compose.

With Docker Compose

git clone git@github.com:jaegertracing/jaeger.git jaeger
cd jaeger/examples/hotrod
docker compose up
# Ctrl-C to stop

With Docker

docker run --rm -it --link jaeger \
  -p8080-8083:8080-8083 \
  -e OTEL_EXPORTER_OTLP_ENDPOINT="http://jaeger:4318" \
  jaegertracing/example-hotrod:1.64.0 \
  all --otel-exporter=otlp

From Source

In order to run from source you need:

• Go toolchain  installed on your machine (see go.mod  file for minimum required Go version).
• A running Jaeger backend to view the traces.

git clone git@github.com:jaegertracing/jaeger.git jaeger
cd jaeger
go run ./examples/hotrod/main.go all

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 --collector.zipkin.host-port=:9411.

Zipkin Thrift  IDL and Zipkin Proto  IDL files can be found in jaegertracing/jaeger-idl  repository. They’re compatible with openzipkin/zipkin-api  Thrift  and Proto .