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Local K3s

For local development or testing, you can run K3s on your local machine using Docker.

Prerequisites​

  • Docker installed and running
  • At least 4GB of available RAM

Install K3s with K3d​

K3d is a lightweight wrapper to run K3s in Docker.

# Install k3d
curl -s https://raw.githubusercontent.com/k3d-io/k3d/main/install.sh | bash

# Create a cluster
k3d cluster create canine-local --api-port 6550 -p "80:80@loadbalancer" -p "443:443@loadbalancer"

# Get the kubeconfig
k3d kubeconfig get canine-local

Upload Kubeconfig to Canine​

  1. Navigate to Clusters → + New Cluster
  2. Give your cluster a name
  3. Upload your Kubeconfig file to Canine.

Canine will install the necessary dependencies to your cluster.