- Install SigNoz backend as instructed in this page
- Instrument your application as instructed in Instructions Page
- Install Docker Engine
- Then install Docker Compose
- Setup Docker to run without root privileges (optional but strongly recommended)
- To clone the SigNoz repository and enter the new directory, run:
- To run SigNoz:
There are 2 ways to run SigNoz in Docker
- Tiny Instance setting ( runs with 3GB of memory)
- Standard setting (needs 8GB of memory)
We have a tiny instance setting which runs with 3GB of memory. This is just for demo/testing purpose and not to be used in production
- Choose the Docker menu whale menu > Preferences from the menu bar and configure the runtime options described below.
- Choose Resources from Preferences Menu and change Memory to 3GB
Below command will bring up SigNoz services
A standard instance of SigNoz needs around 8GB of memory. Below command will bring up a standard instance.
If you face any issues here, don't worry - just check out the troubleshooting steps in the section below
docker-composeruns successfully, the UI should be accessible at port 3000 on the domain you set up or the IP of your instance.
Wait for 2-3 mins for the data to be available to frontend. If you are running on local machine, checkout
You would want to open port 3000 to be accessible from outside world if you want to use public url of machine.
docker pswill show all containers created by SigNoz. Check if
historicalcontainers are running. They do not come up if there is a memory problem.
- If you are still facing issues, try re-running
docker-compose -f docker-compose.yaml up -dor
docker-compose -f docker-compose-tiny.yaml up -dbased on setup you are following. This will retry installing containers which failed the first time.
- If you are still facing issues like
Request failed with status code 400Open
http://localhost:8888or port 8888 on your IP .This is druid console. Check if Datasource named
flattened_spanshas come up. If there is no Ingestion Supervsor running, then run
docker-compose -f docker-compose-tiny.yaml up -d create-supervisor set-retention
- If you couldn't spot issues, feel free to join our slack community or shoot an email at [email protected] We are generally always there.
docker-compose.yaml includes sample application (HotR.O.D) that generates tracing data.