Parallels M1 Alternative: A Local Kubernetes Cluster with k3s

Are you searching for an efficient way to run a local Kubernetes cluster on your Mac? Look no further! In this article, we'll explore a parallel approach that uses k3s, a lightweight and easy-to-use alternative to Docker. We'll walk you through the process of setting up a k3s cluster on a Ubuntu virtual machine running in Parallels Desktop.

Uninstalling Your Cluster

Before we begin, it's essential to understand how to uninstall your cluster. To do this, use the following command: `/usr/local/bin/k3s-uninstall`. This will help you remove any existing clusters and start fresh.

Local-Path Storage Class

When using k3s, you can create a local-path storage class that stores data on a directory of the host machine (in our case, an Ubuntu VM). This is particularly useful for persistent volumes, which allow your pods to survive restarts or reboots. For example, we're using this approach for our MongoDB instance.

kubectl and NodePort

With k3s, you can interact with your cluster using `kubectl`. You'll also be able to expose services using NodePort, making it possible to connect directly to ports on your VM from your local machine. This is ideal for local development workflows.

Configuring Your Cluster

To configure your cluster, you may need to copy the kube config of k3s to the `~/.kube/config` file. Additionally, you can add arguments such as `-kube-apiserver-arg service-node-port-range=1-65535` to allow services to expose themselves at any port.

Setting Up Your Environment

To get started, launch a terminal and install Parallels Desktop. Then, follow these steps:

1. Download and install Parallels Desktop.

2. Launch the Ubuntu VM suggested in the dialog.

3. Install k3s on your Ubuntu virtual machine.

In conclusion, using k3s as an alternative to Docker is an attractive option for those looking to set up a local Kubernetes cluster. While there are some downsides to this approach, such as the need for port forwards and quirky behavior from minikube and multipass, it can be a viable solution for your M1 Mac. By following these steps, you'll be able to get started with k3s and enjoy the benefits of a local Kubernetes cluster.

Parallels m1 alternative