Yes - you can create a Kubernetes cluster with Raspberry Pis with the default operating system Raspbian. Carry on using all the tools and packages you're used to with the officially-supported OS.
- You must use an RPi2 or 3 for Kubernetes
- I'm assuming you're using wired ethernet (Wi-Fi also works)
- Flash Raspbian to a fresh SD card.
You can use Etcher.io to burn the SD card.
Before booting set up an empty file called ssh in /boot/ on the SD card.
Use Raspbian Stretch Lite
https://downloads.raspberrypi.org/raspbian_lite/images/raspbian_lite-2017-09-08/
- Change hostname
Use the raspi-config utility to change the hostname to k8s-master-1 or similar and then reboot.
- Install Docker
This installs 17.10.0-ce - the latest release for Stretch.
$ curl -sSL get.docker.com | sh && \
sudo usermod pi -aG docker
- Disable swap
For Kubernetes 1.7 and newer you will get an error if swap space is enabled.
Turn off swap:
$ sudo dphys-swapfile swapoff && \
sudo dphys-swapfile uninstall && \
sudo update-rc.d dphys-swapfile remove
This should now show no entries:
$ sudo swapon --summary
- Edit
/boot/cmdline.txt
Add this text at the end of the line, but don't create any new lines:
cgroup_enable=cpuset cgroup_memory=1
Now reboot - do not skip this step.
- Add repo lists & install kubeadm
$ curl -s https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add - && \
echo "deb http://apt.kubernetes.io/ kubernetes-xenial main" | sudo tee /etc/apt/sources.list.d/kubernetes.list && \
sudo apt-get update -q && \
sudo apt-get install -qy kubeadm
I realise this says 'xenial' in the apt listing, don't worry. It still works.
-
You now have two new commands installed:
-
kubeadm - used to create new clusters or join an existing one
-
kubectl - the CLI administration tool for Kubernetes
-
Initialize your master node:
$ sudo kubeadm init
Optionally also pass
--apiserver-advertise-address=192.168.0.27with the IP of the Pi.
Note: This step will take a long time, even up to 15 minutes.
After the init is complete run the snippet given to you on the command-line:
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
This step takes the key generated for cluster administration and makes it available in a default location for use with kubectl.
- Now save your join-token
Your join token is valid for 24 hours, so save it into a text file. Here's an example of mine:
$ kubeadm join --token 9e700f.7dc97f5e3a45c9e5 192.168.0.27:6443 --discovery-token-ca-cert-hash sha256:95cbb9ee5536aa61ec0239d6edd8598af68758308d0a0425848ae1af28859bea
- Check everything worked:
$ kubectl get pods --namespace=kube-system
NAME READY STATUS RESTARTS AGE
etcd-of-2 1/1 Running 0 12m
kube-apiserver-of-2 1/1 Running 2 12m
kube-controller-manager-of-2 1/1 Running 1 11m
kube-dns-66ffd5c588-d8292 3/3 Running 0 11m
kube-proxy-xcj5h 1/1 Running 0 11m
kube-scheduler-of-2 1/1 Running 0 11m
weave-net-zz9rz 2/2 Running 0 5m
You should see the "READY" count showing as 1/1 for all services as above. DNS uses three pods, so you'll see 3/3 for that.
- Setup networking
Install Weave network driver
$ kubectl apply -f https://git.io/weave-kube-1.6
On the other RPis, repeat everything apart from kubeadm init.
- Change hostname
Use the raspi-config utility to change the hostname to k8s-worker-1 or similar and then reboot.
- Join the cluster
Replace the token / IP for the output you got from the master node:
$ sudo kubeadm join --token 1fd0d8.67e7083ed7ec08f3 192.168.0.27:6443
You can now run this on the master:
$ kubectl get nodes
NAME STATUS AGE VERSION
k8s-1 Ready 5m v1.7.4
k8s-2 Ready 10m v1.7.4
function.yml
apiVersion: v1
kind: Service
metadata:
name: markdownrender
labels:
app: markdownrender
spec:
type: NodePort
ports:
- port: 8080
protocol: TCP
targetPort: 8080
nodePort: 31118
selector:
app: markdownrender
---
apiVersion: apps/v1beta1 # for versions before 1.6.0 use extensions/v1beta1
kind: Deployment
metadata:
name: markdownrender
spec:
replicas: 1
template:
metadata:
labels:
app: markdownrender
spec:
containers:
- name: markdownrender
image: functions/markdownrender:latest-armhf
imagePullPolicy: Always
ports:
- containerPort: 8080
protocol: TCP
Deploy and test:
$ kubectl create -f function.yml
$ curl -4 http://localhost:31118 -d "# test"
<p><h1>test</h1></p>
From a remote machine such as your laptop use the IP address of your Kubernetes master and try the same again.
This is the development dashboard which has TLS disabled and is easier to use.
$ curl -sSL https://raw.githubusercontent.com/kubernetes/dashboard/master/src/deploy/recommended/kubernetes-dashboard-arm.yaml | kubectl create -f -
You can then find the IP and port via kubectl get svc -n kube-system. To access this from your laptop you will need to use kubectl proxy.
Now on the Kubernetes master remove the test deployment:
$ kubectl delete -f function.yml
Now head back over to the tutorial and deploy OpenFaaS