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
Due to the fact that Talos runs in a container, certain APIs are not available when running in Docker.
reset, and APIs like these don't apply in container mode.
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 127.0.0.1
Note: Startup times can take up to a minute before the cluster is available.
Retrieve and Configure the
talosctl kubeconfig . kubectl --kubeconfig kubeconfig config set-cluster talos-default --server https://127.0.0.1:6443
Using the Cluster
Once the cluster is available, you can make use of
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
To view the logs of a container, use
talosctl logs <container> or
talosctl logs -k <container>.
To cleanup, run:
talosctl cluster destroy