Table of Contents:

1. Understanding the Technologies
   • Docker: Containerization for Consistent Environments
   • Kubernetes: Orchestrating Containers at Scale(kops)
   • Ansible: Automating Infrastructure Configuration
   • AWS Elastic Container Registry (ECR): Secure Container Image Storage
2. Building and Pushing the Docker Image to AWS ECR
   • Setting up Docker CLI
   • Creating a Dockerfile for Nginx Application
   • Building the Docker Image
   • Pushing the Docker Image to AWS ECR
3. Creating Ansible Role for Kubernetes Deployment
   • Defining the Role Structure
   • Writing Ansible Tasks for Deployment
   • Configuring Kubernetes Resources (Pods, Services, etc.)
   • Applying the Ansible Role to the Kubernetes Cluster
4. Creating Ansible Playbook for Nginx Application Deployment
   • Defining the Playbook Structure
   • Including the Kubernetes Deployment Role
   • Specifying Variables and Configuration
   • Executing the Playbook
5. Verifying the Deployment
   • Accessing the Nginx Website
   • Testing Load Balancing and Scalability
   • Monitoring the Cluster with Kubernetes Tools

LAUNCH INSTANCE WITH T2.MICRO, 10 GB SSD, sg-ssh&all.

Now connect this workspace ec2 instance to the terminal. After connect the ec2 then update the packages

Now create an IAM user of CLI, generate an access key & secret key, and give admin access. Save the access key and secret key in notepad for further use.

Now install Aws cli.

curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"

sudo yum install unzip

unzip awscliv2.zip

sudo ./aws/install

After installation of AWS CLI to set a path:

sudo vim .bashrc

export PATH=$PATH:/usr/local/bin/

source .bashrc

Now check the version

aws --version

Step-2

Install Kops and Kubectl for creating clusters of k8s (master and node) from the workspace ec2 instance

sudo wget https://github.com/kubernetes/kops/releases/download/v1.24.1/kops-linux-amd64

curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"
   

Change Permissions: sudo chmod +x kops-linux-amd64 kubectl

Move Files: sudo mv kubectl /usr/local/bin/kubectl

Move Files: sudo mv kops-linux-amd64 /usr/local/bin/kops

kubectl version

kops version

Step-3

Configure AWS CLI in workspace ec2 instance for creating k8s clusters and etcd of s3 bucket using kops commands.

First, configure aws cli:

aws configure

Now create an infrastructure of k8s cluster.

first, create etcd of k8s in aws using s3 bucket as Mumbai region.

aws s3api create-bucket --bucket sana.k8s.local --region ap-south-1 --create-bucket-configuration LocationConstraint=ap-south-1

Enable Bucket Version: 

aws s3api put-bucket-versioning --bucket sana.k8s.local --region ap-south-1 --versioning-configuration Status=Enabled

EXPORT CLUSTER DATA INTO BUCKET:

export KOPS_STATE_STORE=s3://sana.k8s.local

GENERATE-KEY for clusters:

ssh-keygen

Now create cluster from workspace instance.

kops create cluster --name sana.k8s.local --zones ap-south-1a --master-size t2.medium --node-size t2.micro

After creating cluster if u edit ur cluster follow this suggestion:

• list clusters with: 
• kops get cluster
• edit this cluster with: 
• kops edit cluster sana.k8s.local
• edit your node instance group:
•  kops edit ig --name=sana.k8s.local nodes-ap-south-1a
• edit your master instance group: 
• kops edit ig --name=sana.k8s.local master-ap-south-1a

Now cluster is created and now run the cluster with help of this command.

kops update cluster --name sana.k8s.local --yes --admin

Step-4

Create Elastic Container Registry(ECR) in AWS.