The purpose of this task is to configure Kubernets cluster and Running Nginx Ingress controller. 1. Create a Kubernetes cluster Create S3 bucket to store K8S State store:
aws s3api create-bucket --bucket mstack.local --region us-east-2
Create EC2 Role for aws ec2 instance to perform kops configuration
Create a hosted zone in AWS
Steps performed from AWS EC2 instance, hence need to create one EC2 instance.
Install Below tools on EC2 instance:
Kubectl:
curl -LO https://storage.googleapis.com/kubernetes-release/release/$(curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt)/bin/linux/amd64/kubectl
chmod +x ./kubectl
sudo mv ./kubectl /usr/local/bin/kubectl
python:
apt-get install python
awscli
pip install aws-cli
Create SSH key pair :
ssh-keygen -f .ssh/id_rsa
KOPS:
wget https://github.com/kubernetes/kops/releases/download/$(curl -s https://api.github.com/repos/kubernetes/kops/releases/latest | grep tag_name | cut -d '"' -f 4)/kops-linux-amd64
chmod +x kops-linux-amd64
sudo mv kops-linux-amd64 /usr/local/bin/kops
Configure K8S Cluster
export KOPS_STATE_STORE=s3://mstack.local
kops create cluster --cloud=aws --zones=ap-east-1c –name mstack.local --node-count=2 --node-size=t2.micro --master-size=t2.medium
kops update cluster --name ${KOPS_CLUSTER_NAME} –yes
kpos validate cluster
2. Create NGINX-controller service kubectl apply -f nginx-controller-service.yaml
This will create load balancer to AWS.
3. NGINX-Ingress-Controller Configuration kubectl apply -f nginx-controller.yaml
4. Deploy Kubernetes Guestbook Application kubectl apply -f redis-master-deployment.yaml
kubectl apply -f redis-master-service.yaml
kubectl apply -f redis-slave-deployment.yaml
kubectl apply -f redis-slave-service.yaml
kubectl apply -f frontend-deployment.yaml
kubectl apply -f frontend-service.yaml
5. Create ingress for guestbook application kubectl apply -f staging-ingress.yaml
Browse through loadbalancer DNS name and see the Guest page frontend should be visible.