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In this guide we will create a Kubernetes cluster in Docker, using a containerized version of Talos.

Running Talos in Docker is intended to be used in CI pipelines, and local testing when you need a quick and easy cluster. Furthermore, if you are running Talos in production, it provides an excellent way for developers to develop against the same version of Talos.


The follow are requirements for running Talos in Docker:

  • Docker 18.03 or greater
  • a recent version of talosctl

Create the Cluster

Creating a local cluster is as simple as:

talosctl cluster create --wait

Once the above finishes successfully, your talosconfig(~/.talos/config) will be configured to point to the new cluster.

If you are running on MacOS, an additional command is required:

talosctl config --endpoints

Note: Startup times can take up to a minute before the cluster is available.

Retrieve and Configure the kubeconfig

talosctl kubeconfig .
kubectl --kubeconfig kubeconfig config set-cluster talos-default --server

Using the Cluster

Once the cluster is available, you can make use of talosctl and kubectl to interact with the cluster. For example, to view current running containers, run talosctl containers for a list of containers in the system namespace, or talosctl containers -k for the namespace. To view the logs of a container, use talosctl logs <container> or talosctl logs -k <container>.

Cleaning Up

To cleanup, run:

talosctl cluster destroy