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To install and run Kuma on Docker execute the following steps:
1. Download Kuma
Kuma provides the following Docker images for all of its executables:
- kuma-cp: at
- kuma-dp: at
- kumactl: at
You can freely
docker pull these images to start using Kuma, as we will demonstrate in the following steps.
2. Run Kuma
We can run Kuma:
docker run -p 5681:5681 docker.io/kumahq/kuma-cp:2.1.7 run
This example will run Kuma in
standalone mode for a “flat” deployment, but there are more advanced
Note: By default this will run Kuma with a
memory store, but you can use a persistent storage like PostgreSQL by updating the
2.1 Authentication (optional)
Running administrative tasks (like generating a dataplane token) requires authentication by token or a connection via localhost.
kuma-cp to recognize requests issued to docker published port it needs to run the container in the host network.
To do this, add
--network="host" parameter to the
docker run command from point 2.
2.1.2 Authenticating via token
You can also configure
kumactl to access
kuma-dp from the container.
kuma-cp container id:
docker ps # copy kuma-cp container id export KUMA_CP_CONTAINER_ID='...'
TOKEN=$(bash -c "docker exec -it $KUMA_CP_CONTAINER_ID wget -q -O - http://localhost:5681/global-secrets/admin-user-token" | jq -r .data | base64 -d) kumactl config control-planes add \ --name my-control-plane \ --address http://localhost:5681 \ --auth-type=tokens \ --auth-conf token=$TOKEN \ --skip-verify
3. Use Kuma
kuma-cp) is now running! Now that Kuma has been installed you can access the control-plane via either the GUI, the HTTP API, or the CLI:
Kuma ships with a read-only GUI that you can use to retrieve Kuma resources. By default the GUI listens on the API port and defaults to
To access Kuma you can navigate to
127.0.0.1:5681/gui to see the GUI.
You will notice that Kuma automatically creates a
entity with name
Congratulations! You have successfully installed Kuma on Docker 🚀.
In order to start using Kuma, it’s time to check out the quickstart guide for Universal deployments. If you are using Docker you may also be interested in checking out the Kubernetes quickstart as well.