Creating a Raspberry Pi cluster running Kubernetes, the installation (Part 2)
At Devoxx Belgium and Devoxx Morocco, Ray Tsang and I (Arjen Wassink) showed a Raspberry Pi cluster we built at Quintor running HypriotOS, Docker and Kubernetes. While we received many compliments on the talk, the most common question was about how to build a Pi cluster themselves! We’ll be doing just that, in two parts. The first part covered the shopping list for the cluster, and this second one will show you how to get kubernetes up and running …
Now you got your Raspberry Pi Cluster all setup, it is time to run some software on it. As mentioned in the previous blog I based this tutorial on the Hypriot linux distribution for the ARM processor. Main reason is the bundled support for Docker. I used this version of Hypriot for this tutorial, so if you run into trouble with other versions of Hypriot, please consider the version I’ve used.
First step is to make sure every Pi has Hypriot running, if not yet please check the getting started guide of them. Also hook up the cluster switch to a network so that Internet is available and every Pi get an IP-address assigned via DHCP. Because we will be running multiple Pi’s it is practical to give each Pi a unique hostname. I renamed my Pi’s to rpi-master, rpi-node-1, rpi-node-2, etc for my convenience. Note that on Hypriot the hostname is set by editing the /boot/occidentalis.txt file, not the /etc/hostname. You could also set the hostname using the Hypriot flash tool.
The most important thing about running software on a Pi is the availability of an ARM distribution. Thanks to Brendan Burns, there are Kubernetes components for ARM available in the Google Cloud Registry. That’s great. The second hurdle is how to install Kubernetes. There are two ways; directly on the system or in a Docker container. Although the container support has an experimental status, I choose to go for that because it makes it easier to install Kubernetes for you. Kubernetes requires several processes (etcd, flannel, kubectl, etc) to run on a node, which should be started in a specific order. To ease that, systemd services are made available to start the necessary processes in the right way. Also the systemd services make sure that Kubernetes is spun up when a node is (re)booted. To make the installation real easy I created an simple install script for the master node and the worker nodes. All is available at GitHub. So let’s get started now!
Installing the Kubernetes master node
First we will be installing Kubernetes on the master node and add the worker nodes later to the cluster. It comes basically down to getting the git repository content and executing the installation script.
$ curl -L -o k8s-on-rpi.zip https://github.com/awassink/k8s-on-rpi/archive/master.zip
$ apt-get update
$ apt-get install unzip
$ unzip k8s-on-rpi.zip
$ k8s-on-rpi-master/install-k8s-master.sh
The install script will install five services:
- docker-bootstrap.service - is a separate Docker daemon to run etcd and flannel because flannel needs to be running before the standard Docker daemon (docker.service) because of network configuration.
- k8s-etcd.service - is the etcd service for storing flannel and kubelet data.
- k8s-flannel.service - is the flannel process providing an overlay network over all nodes in the cluster.
- docker.service - is the standard Docker daemon, but with flannel as a network bridge. It will run all Docker containers.
- k8s-master.service - is the kubernetes master service providing the cluster functionality.
The basic details of this installation procedure is also documented in the Getting Started Guide of Kubernetes. Please check it to get more insight on how a multi node Kubernetes cluster is setup.
Let’s check if everything is working correctly. Two docker daemon processes must be running.
$ ps -ef|grep docker
root 302 1 0 04:37 ? 00:00:14 /usr/bin/docker daemon -H unix:///var/run/docker-bootstrap.sock -p /var/run/docker-bootstrap.pid --storage-driver=overlay --storage-opt dm.basesize=10G --iptables=false --ip-masq=false --bridge=none --graph=/var/lib/docker-bootstrap
root 722 1 11 04:38 ? 00:16:11 /usr/bin/docker -d -bip=10.0.97.1/24 -mtu=1472 -H fd:// --storage-driver=overlay -D
The etcd and flannel containers must be up.
$ docker -H unix:///var/run/docker-bootstrap.sock ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
4855cc1450ff andrewpsuedonym/flanneld "flanneld --etcd-endp" 2 hours ago Up 2 hours k8s-flannel
ef410b986cb3 andrewpsuedonym/etcd:2.1.1 "/bin/etcd --addr=127" 2 hours ago Up 2 hours k8s-etcd
The hyperkube kubelet, apiserver, scheduler, controller and proxy must be up.
$ docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
a17784253dd2 gcr.io/google\_containers/hyperkube-arm:v1.1.2 "/hyperkube controller" 2 hours ago Up 2 hours k8s\_controller-manager.7042038a\_k8s-master-127.0.0.1\_default\_43160049df5e3b1c5ec7bcf23d4b97d0\_2174a7c3
a0fb6a169094 gcr.io/google\_containers/hyperkube-arm:v1.1.2 "/hyperkube scheduler" 2 hours ago Up 2 hours k8s\_scheduler.d905fc61\_k8s-master-127.0.0.1\_default\_43160049df5e3b1c5ec7bcf23d4b97d0\_511945f8
d93a94a66d33 gcr.io/google\_containers/hyperkube-arm:v1.1.2 "/hyperkube apiserver" 2 hours ago Up 2 hours k8s\_apiserver.f4ad1bfa\_k8s-master-127.0.0.1\_default\_43160049df5e3b1c5ec7bcf23d4b97d0\_b5b4936d
db034473b334 gcr.io/google\_containers/hyperkube-arm:v1.1.2 "/hyperkube kubelet -" 2 hours ago Up 2 hours k8s-master
f017f405ff4b gcr.io/google\_containers/hyperkube-arm:v1.1.2 "/hyperkube proxy --m" 2 hours ago Up 2 hours k8s-master-proxy
Deploying the first pod and service on the cluster
When that’s looking good we’re able to access the master node of the Kubernetes cluster with kubectl. Kubectl for ARM can be downloaded from googleapis storage. kubectl get nodes shows which cluster nodes are registered with its status. The master node is named 127.0.0.1.
$ curl -fsSL -o /usr/bin/kubectl https://storage.googleapis.com/kubernetes-release/release/v1.1.2/bin/linux/arm/kubectl
$ kubectl get nodes
NAME LABELS STATUS AGE
127.0.0.1 kubernetes.io/hostname=127.0.0.1 Ready 1h
An easy way to test the cluster is by running a busybox docker image for ARM. kubectl run can be used to run the image as a container in a pod. kubectl get pods shows the pods that are registered with its status.
$ kubectl run busybox --image=hypriot/rpi-busybox-httpd
$ kubectl get pods -o wide
NAME READY STATUS RESTARTS AGE NODE
busybox-fry54 1/1 Running 1 1h 127.0.0.1
k8s-master-127.0.0.1 3/3 Running 6 1h 127.0.0.1
Now the pod is running but the application is not generally accessible. That can be achieved by creating a service. The cluster IP-address is the IP-address the service is avalailable within the cluster. Use the IP-address of your master node as external IP and the service becomes available outside of the cluster (e.g. at http://192.168.192.161 in my case).
$ kubectl expose rc busybox --port=90 --target-port=80 --external-ip=\<ip-address-master-node\>
$ kubectl get svc
NAME CLUSTER\_IP EXTERNAL\_IP PORT(S) SELECTOR AGE
busybox 10.0.0.87 192.168.192.161 90/TCP run=busybox 1h
kubernetes 10.0.0.1 \<none\> 443/TCP \<none\> 2h
$ curl http://10.0.0.87:90/
\<html\>
\<head\>\<title\>Pi armed with Docker by Hypriot\</title\>
\<body style="width: 100%; background-color: black;"\>
\<div id="main" style="margin: 100px auto 0 auto; width: 800px;"\>
\<img src="pi\_armed\_with\_docker.jpg" alt="pi armed with docker" style="width: 800px"\>
\</div\>
\</body\>
\</html\>
Installing the Kubernetes worker nodes
The next step is installing Kubernetes on each worker node and add it to the cluster. This also comes basically down to getting the git repository content and executing the installation script. Though in this installation the k8s.conf file needs to be copied on forehand and edited to contain the IP-address of the master node.
$ curl -L -o k8s-on-rpi.zip https://github.com/awassink/k8s-on-rpi/archive/master.zip
$ apt-get update
$ apt-get install unzip
$ unzip k8s-on-rpi.zip
$ mkdir /etc/kubernetes
$ cp k8s-on-rpi-master/rootfs/etc/kubernetes/k8s.conf /etc/kubernetes/k8s.conf
Change the ip-address in /etc/kubernetes/k8s.conf to match the master node
$ k8s-on-rpi-master/install-k8s-worker.sh
The install script will install four services. These are the quite similar to ones on the master node, but with the difference that no etcd service is running and the kubelet service is configured as worker node.
Once all the services on the worker node are up and running we can check that the node is added to the cluster on the master node.
$ kubectl get nodes
NAME LABELS STATUS AGE
127.0.0.1 kubernetes.io/hostname=127.0.0.1 Ready 2h
192.168.192.160 kubernetes.io/hostname=192.168.192.160 Ready 1h
$ kubectl scale --replicas=2 rc/busybox
$ kubectl get pods -o wide
NAME READY STATUS RESTARTS AGE NODE
busybox-fry54 1/1 Running 1 1h 127.0.0.1
busybox-j2slu 1/1 Running 0 1h 192.168.192.160
k8s-master-127.0.0.1 3/3 Running 6 2h 127.0.0.1
Enjoy your Kubernetes cluster!
Congratulations! You now have your Kubernetes Raspberry Pi cluster running and can start playing with Kubernetes and start learning. Checkout the Kubernetes User Guide to find out what you all can do. And don’t forget to pull some plugs occasionally like Ray and I do :-)
Arjen Wassink, Java Architect and Team Lead, Quintor