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Kubernetes (K8s)

Spin K8s Self Managed Cluster on GCP

1. Set Project in gcloud

gcloud config set project <myProject>

2. Set the zone property in the compute section

gcloud config set compute/zone us-east1-b

3. Create the VPC

gcloud compute networks create k8s-cluster --subnet-mode custom

4. Create the k8s-nodes subnet in the k8s-cluster VPC network

gcloud compute networks subnets create k8s-nodes \

--network k8s-cluster \

--range 10.240.0.0/24

5. Create a firewall rule that allows internal communication across TCP, UDP, ICMP and IP in IP.

gcloud compute firewall-rules create k8s-cluster-allow-internal \

--allow tcp,udp,icmp,ipip \

--network k8s-cluster \

--source-ranges 10.240.0.0/24

6. Create a firewall rule that allows external SSH, ICMP, and HTTPS

gcloud compute firewall-rules create k8s-cluster-allow-external \

--allow tcp:22,tcp:6443,icmp \

--network k8s-cluster \

--source-ranges 0.0.0.0/0

7. Create the controller VM (Master Node)

gcloud compute instances create master-node \

--async \

--boot-disk-size 200GB \

--can-ip-forward \

--image-family ubuntu-1804-lts \

--image-project ubuntu-os-cloud \

--machine-type n1-standard-2 \

--private-network-ip 10.240.0.11 \

--scopes compute-rw,storage-ro,service-management,service-control,logging-write,monitoring \

--subnet k8s-nodes \

--zone us-east1-b \

--tags k8s-cluster,master-node,controller

8. Create Two worker VMs

for i in 0 1; do

gcloud compute instances create workernode-${i} \

--async \

--boot-disk-size 200GB \

--can-ip-forward \

--image-family ubuntu-1804-lts \

--image-project ubuntu-os-cloud \

--machine-type n1-standard-2 \

--private-network-ip 10.240.0.2${i} \

--scopes compute-rw,storage-ro,service-management,service-control,logging-write,monitoring \

--subnet k8s-nodes \

--zone us-east1-b \

--tags k8s-cluster,worker

done

9. Install Docker on the controller VM and each worker VM.

sudo apt update

sudo apt install -y docker.io

sudo systemctl enable docker.service

sudo apt install -y apt-transport-https curl

10. Install kubeadm, kubelet, and kubectl on the controller VM and each worker VM.

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

cat <<EOF | sudo tee /etc/apt/sources.list.d/kubernetes.list

deb https://apt.kubernetes.io/ kubernetes-xenial main

EOF

sudo apt-get update

sudo apt-get install -y kubelet kubeadm kubectl

sudo apt-mark hold kubelet kubeadm kubectl

11. Create the controller node of a new cluster. On the controller VM, execute:

sudo kubeadm init --pod-network-cidr 192.168.0.0/16

12. To set up kubectl for the ubuntu user, run:

mkdir -p $HOME/.kube

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

sudo chown $(id -u):$(id -g) $HOME/.kube/config

13. On Worker Nodes Execute the Join Command

14. Verify the Cluster Status

kubectl get nodes

15. On the controller, install Calico from the manifest:

curl https://docs.projectcalico.org/manifests/calico.yaml -O

kubectl apply -f calico.yaml

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