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LAB-01-centos.md

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LAB-01

Master node must be configured with 2 CPU and 2GB of RAM

Installing Kubernetes on Ubuntu

#Update

sudo apt-get update

Downloading the gpg

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

Installing Docker and Kubernetes packages

sudo apt-add-repository "deb http://apt.kubernetes.io/ kubernetes-xenial main"
sudo apt-get update
sudo apt-get install -y docker.io kubelet kubeadm kubectl kubernetes-cni

turning off swap

sudo swapoff -a

Initializing Master

  sudo kubeadm init --apiserver-advertise-address **PROVIDE IP ADDRESS HERE** --pod-network-cidr=192.168.0.0/16

attach initializing-master image

Initialization of the Nodes

After master being initialized, it should display the command which could be used on all worker/nodes to join the k8s cluster.

sudo kubeadm join 10.128.0.2:6443 --token m7qgmb.6gjki057ajpo49nq \
    --discovery-token-ca-cert-hash sha256:fc5d3ec0fe14b141cf87baa206082cf3a26b8c158c02e255f232e1768905b8b7

Note: Don't copy and paste the above command, use the output which you have received at the master initialization

Settingup the Kubectl client configureation On Master node

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

To Validate the Cluster Setup

sudo kubectl get nodes

add picture "kubectl-get-nodes"

If you see the above image you can find both the worker nodes are in NotReady state. It means Master node is unable to communicat to the worker node(s). In order make the communication we have to install the netwrok driver. we are going to install Weave

Installing Weave CNI

export kubever=$(kubectl version | base64 | tr -d '\n')
kubectl apply -f "https://cloud.weave.works/k8s/net?k8s-version=$kubever"

insert picture kubectl-get-nodes-ready

Set up Visualiser

git clone https://github.com/submah/kubernetes.git
kubectl apply -f kubernetes-ops-view/deploy/

Visualiser is accessable over a service port whic we can get it for below command

kubectl get svc | grep -i kube-ops-view

insert picture kube-ops-view-port

http://<NODE_IP>:servie-port/#scale=2.0