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

All-in-one

The easiest way to run Jaeger is by starting it in a container:

docker run --rm --name jaeger \
  -p 16686:16686 \
  -p 4317:4317 \
  -p 4318:4318 \
  -p 5778:5778 \
  -p 9411:9411 \
  jaegertracing/jaeger:2.1.0

This runs the all-in-one configuration of Jaeger (see Architecture) that combines collector and query components in a single process and uses a transient in-memory storage for trace data. You can navigate to http://localhost:16686 to access the Jaeger UI. See the APIs page for a full list of exposed ports.

🚗 HotROD Demo

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 .

Using this application you can:

• 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.
• Explore 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.

We recommend running Jaeger and HotROD together via docker compose:

git clone https://github.com/jaegertracing/jaeger.git jaeger
cd jaeger/examples/hotrod
docker compose -f docker-compose-v2.yml up
# press Ctrl-C to exit

Then navigate to http://localhost:8080. See the README  for other ways to run the demo.

SPM

The Service Performance Monitoring (SPM) page has its own Quick Start that shows how to explore that aspect of Jaeger.