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All in One Kubernetes Cluster with kubeadm

Hit the ground running with an all in one kubernetes cluster on your bare metal machine which you can further extend as your journey progresses

We will be setting up a complete all in one kubernetes cluster on a bare metal server in a virtual machine.

The kubeadm setup tool is an automated way of setting up a test ready kubernetes master and adding additional nodes to the cluster.

By starting this way we build a complete Kubernetes cluster setup without hassles. This also helps us to understand the different components needed to serve various functions inside the cluster.

kubeadm all in one infrastructure setup


  • CentOS 7+
  • >4GB RAM for later activities
  • >100 GB Disk Space for later activities
  • >2 CPU Cores
  • Internet connectivity
  • Firewalld disabled
  • self resolving hostname (/etc/hosts)
  • sudo user
  • Disable SeLinux
  • Disable Swap

Firewalld has to be disabled, as it will interfere with the firewall rules from kubeadm

Step 1 – Preparing the machine

To get through our installation smoothly we are going to prepare all the software and configuration needed.

Docker will be the container engine of our choice managed by Kubernetes. Install, enable and start the docker service.

# yum install docker –y
# systemctl start docker
# systemctl enable docker

kubectl is the command line client we will be using to connect and manage our Kubernetes cluster.

Download the binary.

$ curl -LO https://storage.googleapis.com/kubernetes-release/release/$(curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt)/bin/linux/amd64/kubectl

Make binary file executable.

$ chmod +x ./kubectl

Move binary file into files path location.

$ sudo mv ./kubectl /usr/local/bin/kubectl

Check that the file path is working by executing kubectl. The help page will appear.

$ kubectl

kubectl controls the Kubernetes cluster manager. 

Find more information at https://github.com/kubernetes/kubernetes.

Basic Commands (Beginner):
  create         Create a resource from a file or from stdin.
  expose         Take a replication controller, service, deployment or pod and expose it as a new Kubernetes Service
  run            Run a particular image on the cluster
  set            Set specific features on objects
  run-container  Run a particular image on the cluster. This command is deprecated, use "run" instead

Let’s add the Kubernetes repository from google to get the newest Kubernetes release.


Now we can install the kubeadm install tool and the kubelet component. Kubelet will be used by the kubeadm install tool to run kube-apiserver, kube-controller-manager and kube-scheduler in kubernetes pods.

# yum install kubelet kubeadm -y

Start and enable kubelet.

# systemctl enable kubelet
# systemctl start kubelet

The foundation consisiting of docker, kubectl, kubelet and kubeadm for our all in one Kubernetes Cluster has been prepared and we can move over to working with the kubeadm setup tool.

Step 2 – Setup an all in one cluster with kubeadm

In this section we will go through how to install our Kubernetes cluster with the kubeadm setup tool. This may sound easy but it does have it’s caveats.

Initialize the Kubernetes master by specifying the virtual network segment the Kubernetes nodes will be getting their IP’s assigned from by using the --pod-network-cidr option. As there can be a lot of nodes later in our network we specify a large network segment.

# kubeadm init --pod-network-cidr=

The output from the kubectl command will give you instructions on configuring kubectl command line client to connect to your cluster and the command to add nodes to the master. Note down the join command and progress with the kubectl configuration.

Your Kubernetes master has initialized successfully!

To start using your cluster, you need to run (as a regular user):

mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config

You should now deploy a pod network to the cluster.
Run "kubectl apply -f [podnetwork].yaml" with one of the options listed at:


You can now join any number of machines by running the following on each node

as root:

kubeadm join --token 4a1230.fef1dc12223c6ab9 --discovery-token-ca-cert-hash sha256:d9d4473a880af182b9dc67be4ed220ebf55e0564fd934a1760d5a50a24f9e349

Configure kubectl command line client in your user space.

$ mkdir -p $HOME/.kube
$ sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
$ sudo chown $(id -u):$(id -g) $HOME/.kube/config

Let’s check if everything is setup correctly by looking for a running kube-dns pod in the kube-system namespace. At the same time we are checking if kubectl is able to reach our kubernetes cluster.

$ kubectl get pods -n kube-system

NAME                                            READY     STATUS     RESTARTS   AGE
etcd-powerodit.localdomain                     1/1       Running   0           5m
kube-apiserver-powerodit.localdomain           1/1       Running   0           5m
kube-controller-manager-powerodit.localdomain   1/1         Running   0         5m
kube-dns-545bc4bfd4-czxvf                       0/3       Pending   0           6m
kube-proxy-svkj4                               1/1       Running   0           6m
kube-scheduler-powerodit.localdomain          1/1       Running   0           5m

Setup an isolated virtual network where our pods and nodes can communicate with each other. We will be using flannel deployed as a pod inside Kubernetes as it is the most common virtual network setup used.

Apply the prepared flannel installation resource from CoreOS. This resource will do the following:

  1. ClusterRole and ClusterRoleBinading for role based acccess control (RBAC).
  2. Service account for flannel to use.
  3. ConfigMap containing both a CNI configuration and a flannel configuration. The network in the flannel configuration must match the --pod-network-cidr argument given to kubeadm. The choice of backend is also made here and defaults to VXLAN.
  4. DaemonSet to deploy the flannel pod on each Node. The pod has two containers:
    1. The flannel daemon itself, and
    2. An initContainer for deploying the CNI configuration to a location that the kubelet can read.
$ kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml

Let’s check if flannel is running, by looking at the pod and DaemonSets in the kube-system namespace.

$ kubectl get pods,ds -n kube-system

NAME                                                 READY     STATUS   RESTARTS     AGE
po/etcd-powerodit.localdomain                    1/1       Running   0           18h
po/kube-apiserver-powerodit.localdomain           1/1       Running   0           18h
po/kube-controller-manager-powerodit.localdomain   1/1         Running   0         18h
po/kube-dns-545bc4bfd4-czxvf                      3/3       Running   0           18h
po/kube-flannel-ds-qxddn                           1/1       Running   0           17h
po/kube-proxy-svkj4                               1/1       Running   0           18h
po/kube-scheduler-powerodit.localdomain           1/1       Running   0           18h

NAME                 DESIRED   CURRENT     READY     UP-TO-DATE   AVAILABLE     NODE SELECTOR                     AGE
ds/kube-flannel-ds   1           1         1         1           1           beta.kubernetes.io/arch=amd64   17h
ds/kube-proxy       1         1         1         1           1           <none>                         18h

Kubeadm doesn’t allow running Master and Node on the same machine. As we are setting up an all in one cluster on a single bare metal machine we will have to disable this feature by “tainting” the master.

$ kubectl taint nodes --all node-role.kubernetes.io/master-
node "powerodit.localdomain" untainted

Now we can use the noted down join command which we got at the end of the kubadm initialization to join a node to the master component.

# kubeadm join --token <token> <master-ip>:<master-port>

We successfully setup our Kubernetes Master and Node component and integrated a virtual network with flannel so our Kubernetes pods and nodes can communicate with each other in an isolated environment. Being the commendable engineers we are let’s do a last check to be sure everything is working fine.

Step 3 – Check successful installation

To see if everything is working fine we will be setting up a simple busybox pod and do a DNS lookup. This will test for us if a pod can be spawned and if the virtual network is working properly.

Define a busybox pod.

apiVersion: v1
kind: Pod
  name: busybox
  namespace: default
  - image: busybox
      - sleep
      - "3600"
    imagePullPolicy: IfNotPresent
    name: busybox
  restartPolicy: Always

Spawn pod definition in Kubernetes.

$ kubectl create -f default-busybox.yml

Check if the pod is running by listing all pods in the default namespace.

$ kubectl get pods
busybox   1/1       Running   0           49s

Execute a dns lookup for the busybox pod inside the busybox pod.

  • You will see that busybox successfully got an IP assigned from the network defined in kubeadm init --pod-network-cidr
  • Busybox resolves successfully which tells us that the DNS cluster service is working
$ kubectl exec -ti busybox -- nslookup kubernetes.default
Address 1: kube-dns.kube-system.svc.cluster.local

Name:     busybox
Address 1: busybox


We now have a minimal running all in one Kubernetes cluster on a bare metal machine. The great thing about this setup ist the flexibility you get, for example, you can add new nodes for HA capabilities or upgrade the cluster with new services (add-on’s).

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