Uses your existing and already configured NFS server to support dynamic provisioning of Kubernetes Persistent Volumes via Persistent Volume Claims.
Start with cloning the external-storage GitHub repo on the master node:
https://github.com/kubernetes-incubator/external-storage
git clone https://github.com/kubernetes-incubator/external-storage
openHAB is a popular open source home automation platform that can run on a Docker container. The openHAB K3s deployment in this example uses persistent volume claims on NFS volumes and Traefik Ingress controller for easy external access to GUIs.
NOTE: The yaml-files for openHAB uses NFS Persistent volumes, hence instructions on this page needs to be done before continuing.
The following instructions assumes you are logged into the master node.
You first need to clone the openHAB Docker repo to be able to fetch the latest container additions from OpenHAB:
Link to GitHub: https://github.com/amueller/introduction_to_ml_with_python
Install the following packages:
# Fetch atom, unzip and move to Applications folder
curl -s https://atom.io/download/mac -o mac.zip
# Update xcode and install graphviz
The steps below requires that you have followed the installation steps for installing K3s on RPIs.
NOTE: The following files can be found in the following repository.
Installation steps for K3s dashboard. On master node, create a folder called dashboard:
The steps below requires that you have followed the installation steps for installing K3s on RPIs.
Start registry container on master node, we will use insecure mode as configured in my K3s installation guide:
docker run -d -p 5000:5000 --restart=always --name registry registry:2
Login to docker on master node (requires that you have an account on Docker Hub):
docker login
Install latest Raspbian by following these instructions:
https://desertbot.io/blog/headless-raspberry-pi-3-bplus-ssh-wifi-setup
Installation steps for running K3s on a Raspberry PI cluster. My RPIs:
# Model