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Creating a Single Master cluster with kubeadm

Objectives

  • Install a single control-plane(master) Kubernetes cluster

  • Install a Pod network on the cluster so that your Pods can talk to each other

  • Deploy and test a sample app

  • Deploy K8s Dashboard to view all cluster's components

Components and architecure

Components and architecure

You can learn about each component from Kubernetes Componets.

Pre-requisite

We will need 1 control-plane(master) and 2 worker node to create a single control-plane kubernetes cluster using kubeadm. We are using following setting for this purpose:

  • 1 Linux machine for master, ubuntu-20.04-x86_64, cpu-su.2 flavor with 2vCPU, 8GB RAM, 20GB storage.

  • 2 Linux machines for worker, ubuntu-20.04-x86_64, cpu-su.1 flavor with 1vCPU, 4GB RAM, 20GB storage - also assign Floating IPs to both of the worker nodes.

  • ssh access to all machines: Read more here on how to set up SSH on your remote VMs.

  • Create 2 security groups with appropriate ports and protocols:

i. To be used by the master nodes:

Control plane ports and protocols

ii. To be used by the worker nodes:

Worker node ports and protocols

  • setup Unique hostname to each machine using the following command:

    echo "<node_internal_IP> <host_name>" >> /etc/hosts
    hostnamectl set-hostname <host_name>
    

    For example:

    echo "192.168.0.167 master" >> /etc/hosts
    hostnamectl set-hostname master
    

Steps

  1. Disable swap on all nodes.

  2. Install kubeadm, kubelet, and kubectl on all the nodes.

  3. Install container runtime on all nodes- you will be using containerd.

  4. Initiate kubeadm control plane configuration on the master node.

  5. Save the worker node join command with the token.

  6. Install CNI network plugin i.e. Flannel on master node.

  7. Join the worker node to the master node (control plane) using the join command.

  8. Validate all cluster components and nodes are visible on master node.

  9. Deploy a sample app and validate the app from master node.

Install kubeadm, kubelet and containerd on master and worker nodes

kubeadm will not install or manage kubelet or kubectl for you, so you will need to ensure they match the version of the Kubernetes control plane you want kubeadm to install for you. You will install these packages on all of your machines:

kubeadm: the command to bootstrap the cluster.

kubelet: the component that runs on all of the machines in your cluster and does things like starting pods and containers.

kubectl: the command line util to talk to your cluster.

In this step, you will install kubelet and kubeadm on the below nodes

  • master

  • worker1

  • worker2

The below steps will be performed on all the above mentioned nodes:

  • SSH into all the 3 machines

  • Update the repositories and packages:

    sudo apt-get update && sudo apt-get upgrade -y
    
  • Turn off swap

    swapoff -a
    sudo sed -i '/ swap / s/^/#/' /etc/fstab
    
  • Install curl and apt-transport-https

    sudo apt-get update && sudo apt-get install -y apt-transport-https curl
    
  • Download the Google Cloud public signing key and add key to verify releases

    curl -s https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add -
    
  • add kubernetes apt repo

    cat <<EOF | sudo tee /etc/apt/sources.list.d/kubernetes.list
    deb https://apt.kubernetes.io/ kubernetes-xenial main
    EOF
    
  • Install kubelet, kubeadm, and kubectl

    sudo apt-get update
    sudo apt-get install -y kubelet kubeadm kubectl
    
  • apt-mark hold is used so that these packages will not be updated/removed automatically

    sudo apt-mark hold kubelet kubeadm kubectl
    

Install the container runtime i.e. containerd on master and worker nodes

To run containers in Pods, Kubernetes uses a container runtime.

By default, Kubernetes uses the Container Runtime Interface (CRI) to interface with your chosen container runtime.

  • Install container runtime - containerd

    The first thing to do is configure the persistent loading of the necessary containerd modules. This forwarding IPv4 and letting iptables see bridged trafficis is done with the following command:

    cat <<EOF | sudo tee /etc/modules-load.d/k8s.conf
    overlay
    br_netfilter
    EOF
    
    sudo modprobe overlay
    sudo modprobe br_netfilter
    
  • Ensure net.bridge.bridge-nf-call-iptables is set to 1 in your sysctl config:

    # sysctl params required by setup, params persist across reboots
    cat <<EOF | sudo tee /etc/sysctl.d/k8s.conf
    net.bridge.bridge-nf-call-iptables  = 1
    net.bridge.bridge-nf-call-ip6tables = 1
    net.ipv4.ip_forward                 = 1
    EOF
    
  • Apply sysctl params without reboot:

    sudo sysctl --system
    
  • Install the necessary dependencies with:

    sudo apt install -y curl gnupg2 software-properties-common apt-transport-https ca-certificates
    
  • The containerd.io packages in DEB and RPM formats are distributed by Docker. Add the required GPG key with:

    curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
    sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
    

    It's now time to Install and configure containerd:

    sudo apt update -y
    sudo apt install -y containerd.io
    containerd config default | sudo tee /etc/containerd/config.toml
    
    # Reload the systemd daemon with
    sudo systemctl daemon-reload
    
    # Start containerd
    sudo systemctl restart containerd
    sudo systemctl enable --now containerd
    

    You can verify containerd is running with the command:

    sudo systemctl status containerd
    

    Configuring the kubelet cgroup driver

    From 1.22 onwards, if you do not set the cgroupDriver field under KubeletConfiguration, kubeadm will default it to systemd. So you do not need to do anything here by default but if you want you change it you can refer to this documentation.


Configure kubeadm to bootstrap the cluster on master node

Run the below command on the master node i.e. master that you want to setup as control plane.

  • SSH into master machine

  • Switch to root user: sudo su

  • Execute the below command to initialize the cluster:

    export MASTER_IP=<Master-Internal-IP>
    kubeadm config images pull
    kubeadm init --apiserver-advertise-address=${MASTER_IP} --pod-network-cidr=10.244.0.0/16
    

    Important Note

    Please make sure you replace the correct IP of the node with <Master-Internal-IP> which is the Internal IP of master node. --pod-network-cidr value depends upon what CNI plugin you going to use so need to be very careful while setting this CIDR values. In our case, you are going to use Flannel CNI network plugin so you will use: --pod-network-cidr=10.244.0.0/16. If you are opted to use Calico CNI network plugin then you need to use: --pod-network-cidr=192.168.0.0/16 and if you are opted to use Weave Net no need to pass this parameter.

    For example, our Flannel CNI network plugin based kubeadm init command with master node with internal IP: 192.168.0.167 look like below:

    For example:

    export MASTER_IP=192.168.0.167
    kubeadm config images pull
    kubeadm init --apiserver-advertise-address=${MASTER_IP} --pod-network-cidr=10.244.0.0/16
    

    Save the output in some secure file for future use. This will show an unique token to join the control plane. The output from kubeadm init should looks like below:

    Your Kubernetes control-plane has initialized successfully!
    
    To start using your cluster, you need to run the following 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
    
    Alternatively, if you are the root user, you can run:
    
    export KUBECONFIG=/etc/kubernetes/admin.conf
    
    You should now deploy a pod network to the cluster.
    Run "kubectl apply -f [podnetwork].yaml" with one of the options listed at:
    https://kubernetes.io/docs/concepts/cluster-administration/addons/
    
    You can now join any number of the control-plane node running the following
    command on each worker nodes as root:
    
    kubeadm join 192.168.0.167:6443 --token cnslau.kd5fjt96jeuzymzb \
        --discovery-token-ca-cert-hash sha256:871ab3f050bc9790c977daee9e44cf52e15ee3
        7ab9834567333b939458a5bfb5 \
        --control-plane --certificate-key 824d9a0e173a810416b4bca7038fb33b616108c17abcbc5eaef8651f11e3d146
    
    Please note that the certificate-key gives access to cluster sensitive data, keep
    it secret!
    As a safeguard, uploaded-certs will be deleted in two hours; If necessary, you
    can use "kubeadm init phase upload-certs --upload-certs" to reload certs afterward.
    
    Then you can join any number of worker nodes by running the following on each as
    root:
    
    kubeadm join 192.168.0.167:6443 --token cnslau.kd5fjt96jeuzymzb \
        --discovery-token-ca-cert-hash sha256:871ab3f050bc9790c977daee9e44cf52e15ee37ab9834567333b939458a5bfb5
    

    The output consists of 2 major tasks:

    A. Setup kubeconfig using on current master node: As you are running as root user so you need to run the following command:

    export KUBECONFIG=/etc/kubernetes/admin.conf
    

    We need to run the below commands as a normal user to use the kubectl from terminal.

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

    Now the machine is initialized as master.

    Warning

    Kubeadm signs the certificate in the admin.conf to have Subject: O = system:masters, CN = kubernetes-admin. system:masters is a break-glass, super user group that bypasses the authorization layer (e.g. RBAC). Do not share the admin.conf file with anyone and instead grant users custom permissions by generating them a kubeconfig file using the kubeadm kubeconfig user command.

    B. Join worker nodes running following command on individual worker nodes:

    kubeadm join 192.168.0.167:6443 --token cnslau.kd5fjt96jeuzymzb \
        --discovery-token-ca-cert-hash sha256:871ab3f050bc9790c977daee9e44cf52e15ee37ab9834567333b939458a5bfb5
    

    Important Note

    Your output will be different than what is provided here. While performing the rest of the demo, ensure that you are executing the command provided by your output and dont copy and paste from here.

    If you do not have the token, you can get it by running the following command on the control-plane node:

    kubeadm token list
    

    The output is similar to this:

    TOKEN     TTL  EXPIRES      USAGES           DESCRIPTION            EXTRA GROUPS
    8ewj1p... 23h  2018-06-12   authentication,  The default bootstrap  system:
                                signing          token generated by     bootstrappers:
                                                'kubeadm init'.         kubeadm:
                                                                        default-node-token
    

    If you missed the join command, execute the following command kubeadm token create --print-join-command in the master node to recreate the token with the join command.

    root@master:~$ kubeadm token create --print-join-command
    
    kubeadm join 10.2.0.4:6443 --token xyzeyi.wxer3eg9vj8hcpp2 \
    --discovery-token-ca-cert-hash sha256:ccfc92b2a31b002c3151cdbab77ff4dc32ef13b213fa3a9876e126831c76f7fa
    

    By default, tokens expire after 24 hours. If you are joining a node to the cluster after the current token has expired, you can create a new token by running the following command on the control-plane node:

    kubeadm token create
    

    The output is similar to this: 5didvk.d09sbcov8ph2amjw

    We can use this new token to join:

    kubeadm join <master-ip>:<master-port> --token <token> \
        --discovery-token-ca-cert-hash sha256:<hash>
    

Now that you have initialized the master - you can now work on bootstrapping the worker nodes.

  • SSH into worker1 and worker2

  • Switch to root user on both the machines: sudo su

  • Check the output given by the init command on master to join worker node:

    kubeadm join 192.168.0.167:6443 --token cnslau.kd5fjt96jeuzymzb \
        --discovery-token-ca-cert-hash sha256:871ab3f050bc9790c977daee9e44cf52e15ee37ab9834567333b939458a5bfb5
    
  • Execute the above command on both the nodes:

  • Your output should look like:

    This node has joined the cluster:
    * Certificate signing request was sent to apiserver and a response was received.
    * The Kubelet was informed of the new secure connection details.
    

Validate all cluster components and nodes are visible on all nodes

  • Verify the cluster

    kubectl get nodes
    
    NAME      STATUS        ROLES                  AGE     VERSION
    master    NotReady      control-plane,master   21m     v1.26.1
    worker1   Ready         <none>                 9m17s   v1.26.1
    worker2   Ready         <none>                 9m25s   v1.26.1
    

Install CNI network plugin

CNI overview

Managing a network where containers can interoperate efficiently is very important. Kubernetes has adopted the Container Network Interface(CNI) specification for managing network resources on a cluster. This relatively simple specification makes it easy for Kubernetes to interact with a wide range of CNI-based software solutions. Using this CNI plugin allows Kubernetes pods to have the same IP address inside the pod as they do on the VPC network. Make sure the configuration corresponds to the Pod CIDR specified in the kubeadm configuration file if applicable.

You must deploy a CNI based Pod network add-on so that your Pods can communicate with each other. Cluster DNS (CoreDNS) will not start up before a network is installed. To verify you can run this command: kubectl get po -n kube-system:

You should see the following output. You will see the two coredns-* pods in a pending state. It is the expected behavior. Once we install the network plugin, it will be in a Running state.

Output Example:

root@master:~$ kubectl get po -n kube-system
 NAME                               READY  STATUS   RESTARTS  AGE
coredns-558bd4d5db-5jktc             0/1   Pending   0        10m
coredns-558bd4d5db-xdc5x             0/1   Pending   0        10m
etcd-master1                         1/1   Running   0        11m
kube-apiserver-master1               1/1   Running   0        11m
kube-controller-manager-master1      1/1   Running   0        11m
kube-proxy-5jfh5                     1/1   Running   0        10m
kube-scheduler-master1               1/1   Running   0        11m

Supported CNI options

To read more about the currently supported base CNI solutions for Kubernetes read here and also read this.

The below command can be run on the master node to install the CNI plugin:

kubectl apply -f https://github.com/coreos/flannel/raw/master/Documentation/kube-flannel.yml

As you had passed --pod-network-cidr=10.244.0.0/16 with kubeadm init so this should work for Flannel CNI.

Using Other CNI Options

For Calico CNI plugin to work correctly, you need to pass --pod-network-cidr=192.168.0.0/16 with kubeadm init and then you can run: kubectl apply -f https://docs.projectcalico.org/v3.8/manifests/calico.yaml


For Weave Net CNI plugin to work correctly, you don't need to pass --pod-network-cidr with kubeadm init and then you can run: kubectl apply -f "https://cloud.weave.works/k8s/net?k8s-version=$(kubectl version | base64 | tr -d '\n')"

Dual Network:

It is highly recommended to follow an internal/external network layout for your cluster, as showed in this diagram:

Dual Network Diagram

To enable this just give two different names to the internal and external interface, according to your distro of choiche naming scheme:

external_interface: eth0
internal_interface: eth1

Also you can decide here what CIDR should your cluster use

cluster_cidr: 10.43.0.0/16
service_cidr: 10.44.0.0/16

Once you successfully installed the Flannel CNI component to your cluster. You can now verify your HA cluster running:

kubectl get nodes

NAME      STATUS   ROLES                    AGE   VERSION
master    Ready    control-plane,master     22m   v1.26.1
worker1   Ready    <none>                   10m   v1.26.1
worker2   Ready    <none>                   10m   v1.26.1

Watch Recorded Video showing the above steps on setting up the cluster

Here’s a quick recorded demo video upto this point where we successfully setup single master K8s cluster using Kubeadm.


Deploy A Sample Nginx Application From the master node

Now that we have all the components to make the cluster and applications work, let’s deploy a sample Nginx application and see if we can access it over a NodePort that has port range of 30000-32767.

The below command can be run on:

kubectl run nginx --image=nginx --port=80
kubectl expose pod nginx --port=80 --type=NodePort

To check which NodePort is opened and running the Nginx run:

kubectl get svc

The output will show:

Running Services

Once the deployment is up, you should be able to access the Nginx home page on the allocated NodePort from either of the worker nodes' Floating IP.

To check which worker node is serving nginx, you can check NODE column running the following command:

kubectl get pods --all-namespaces --output wide

OR,

kubectl get pods -A -o wide

This will show like below:

Nginx Pod and Worker

Go to browser, visit http://<Worker-Floating-IP>:<NodePort> i.e. http://128.31.25.246:32713 to check the nginx default page. Here Worker_Floating-IP corresponds to the Floating IP of the nginx pod running worker node i.e. worker2.

For your example,

nginx default page


Deploy A K8s Dashboard

You will going to setup K8dash/Skooner to view a dashboard that shows all your K8s cluster components.

  • SSH into master node

  • Switch to root user: sudo su

  • Apply available deployment by running the following command:

    kubectl apply -f https://raw.githubusercontent.com/skooner-k8s/skooner/master/kubernetes-skooner-nodeport.yaml
    

    This will map Skooner port 4654 to a randomly selected port from the master node. The assigned NodePort on the master node can be found running:

    kubectl get svc --namespace=kube-system
    

    OR,

    kubectl get po,svc -n kube-system
    

    Skooner Service Port

    To check which worker node is serving skooner-*, you can check NODE column running the following command:

    kubectl get pods --all-namespaces --output wide
    

    OR,

    kubectl get pods -A -o wide
    

    This will show like below:

    Skooner Pod and Worker

    Go to browser, visit http://<Worker-Floating-IP>:<NodePort> i.e. http://128.31.25.246:30495 to check the skooner dashboard page. Here Worker_Floating-IP corresponds to the Floating IP of the skooner-* pod running worker node i.e. worker2.

    Skooner Dashboard

Setup the Service Account Token to access the Skooner Dashboard:

The first (and easiest) option is to create a dedicated service account. Run the following commands:

  • Create the service account in the current namespace (we assume default)

    kubectl create serviceaccount skooner-sa
    
  • Give that service account root on the cluster

    kubectl create clusterrolebinding skooner-sa --clusterrole=cluster-admin --serviceaccount=default:skooner-sa
    
  • Create a secret that was created to hold the token for the SA:

    kubectl apply -f - <<EOF
    apiVersion: v1
    kind: Secret
    metadata:
        name: skooner-sa-token
        annotations:
            kubernetes.io/service-account.name: skooner-sa
    type: kubernetes.io/service-account-token
    EOF
    

    Information

    Since 1.22, this type of Secret is no longer used to mount credentials into Pods, and obtaining tokens via the TokenRequest API is recommended instead of using service account token Secret objects. Tokens obtained from the TokenRequest API are more secure than ones stored in Secret objects, because they have a bounded lifetime and are not readable by other API clients. You can use the kubectl create token command to obtain a token from the TokenRequest API. For example: kubectl create token skooner-sa, where skooner-sa is service account name.

  • Find the secret that was created to hold the token for the SA

    kubectl get secrets
    
  • Show the contents of the secret to extract the token

    kubectl describe secret skooner-sa-token
    

Copy the token value from the secret detail and enter it into the login screen to access the dashboard.

Watch Demo Video showing how to deploy applications

Here’s a recorded demo video on how to deploy applications on top of setup single master K8s cluster as explained above.


Very Important: Certificates Renewal

Client certificates generated by kubeadm expire after one year unless the Kubernetes version is upgraded or the certificates are manually renewed.

To renew certificates manually, you can use the kubeadm certs renew command with the appropriate command line options. After running the command, you should restart the control plane Pods.

kubeadm certs renew can renew any specific certificate or, with the subcommand all, it can renew all of them, as shown below:

kubeadm certs renew all

Once renewing certificates is done. You must restart the kube-apiserver, kube-controller-manager, kube-scheduler and etcd, so that they can use the new certificates by running:

systemctl restart kubelet

Then, update the new kube config file:

export KUBECONFIG=/etc/kubernetes/admin.conf
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config

Don't Forget to Update the older kube config file

Update wherever you are using the older kube config to connect with the cluster.

Clean Up

  • To view the Cluster info:

    kubectl cluster-info
    
  • To delete your local references to the cluster:

    kubectl config delete-cluster
    

How to Remove the node?

Talking to the control-plane node with the appropriate credentials, run:

kubectl drain <node name> --delete-emptydir-data --force --ignore-daemonsets
  • Before removing the node, reset the state installed by kubeadm:

    kubeadm reset
    

    The reset process does not reset or clean up iptables rules or IPVS tables. If you wish to reset iptables, you must do so manually:

    iptables -F && iptables -t nat -F && iptables -t mangle -F && iptables -X
    

    If you want to reset the IPVS tables, you must run the following command:

    ipvsadm -C
    
  • Now remove the node:

    kubectl delete node <node name>
    

If you wish to start over, run kubeadm init or kubeadm join with the appropriate arguments.