Docker
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.
Requirements
The follow are requirements for running Talos in Docker:
- Docker 18.03 or greater
- a recent version of
talosctl
Caveats
Due to the fact that Talos runs in a container, certain APIs are not available when running in Docker.
For example upgrade, 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 kubeconfig
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 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 k8s.io 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