Amazon Elastic Kubernetes Service (EKS) Tutorial

Amazon Elastic Kubernetes Service (EKS) is a fully-managed Kubernetes service that makes it easier to run Kubernetes on AWS. EKS is designed to be highly available and scalable, so you can deploy and manage your containers with confidence. In this tutorial, we will go through the steps required to set up and deploy a sample application on EKS.

Prerequisites

Before we get started, you will need the following:

Access to an AWS account
Working knowledge of Kubernetes
Kubectl and AWS CLI installed

Step 1: Set up the EKS Cluster

To create the EKS Cluster, you will need to execute the following commands:

aws eks create-cluster --name sample-cluster --role-arn Role-ARN --resources-vpc-config subnetIds=Subnet-IDs --region Region

Here, you will need to replace the Role-ARN, Subnet-IDs, and Region with the values specific to your AWS account. This command will create the EKS Cluster.

Step 2: Create the Kubernetes Config File

Next, you will need to create the Kubernetes config file:

apiVersion: v1
kind: Config

clusters:
- name: sample-cluster
  cluster:
    server: EKS-Endpoint
    certificate-authority-data: Certificate-Authority-Data

contexts:
- name: sample-context
  context:
    cluster: sample-cluster
    user: aws
    namespace: default

users:
- name: aws
  user:
    exec:
      apiVersion: client.authentication.k8s.io/v1alpha1
      command: aws-iam-authenticator
      args:
        - "token"
        - "-i"
        - "Your-Cluster-Name>"

current-context: sample-context

Here, you will need to replace EKS-Endpoint, Certificate-Authority-Data, and Your-Cluster-Name with the values specific to your AWS account. This file will allow you to connect to and manage your EKS Cluster.

Step 3: Launch the Kubernetes Worker Nodes

To create the worker nodes in EKS, you will need to create a CloudFormation stack using the following command:

aws cloudformation create-stack --stack-name sample-cluster-worker-nodes --template-url https://amazon-eks.s3-us-west-2.amazonaws.com/cloudformation/2018-12-10/amazon-eks-nodegroup.yaml --capabilities CAPABILITY_IAM --parameters ParameterKey=NodeGroupName,ParameterValue=sample-cluster-worker-nodes ParameterKey=NodeAutoScalingGroupMinSize,ParameterValue=1 ParameterKey=NodeAutoScalingGroupDesiredCapacity,ParameterValue=2 ParameterKey=ClusterControlPlaneSecurityGroup,ParameterValue=Security-Group-ID ParameterKey=NodeSecurityGroup,ParameterValue=Security-Group-ID ParameterKey=NodeInstanceType,ParameterValue=Instance-Type ParameterKey=NodeImageId,ParameterValue=AMI-ID ParameterKey=KeyName,ParameterValue=Key-Pair-Name ParameterKey=VpcId,ParameterValue=VPC-ID ParameterKey=Subnets,ParameterValue=Comma-Separated-Subnets-IDs --region Region

Here, you will need to replace the Security-Group-ID, Instance-Type, AMI-ID, Key-Pair-Name, VPC-ID, Comma-Separated-Subnets-IDs, and Region with the values specific to your AWS account. This will launch the worker nodes and configure them to join the EKS Cluster.

Step 4: Deploy the Sample Application

We will deploy the sample application using the Kubernetes Deployment and Service manifests:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: sample-app
spec:
  replicas: 2
  selector:
    matchLabels:
      app: sample-app
  template:
    metadata:
      labels:
        app: sample-app
    spec:
      containers:
        - name: sample-app
          image: nginx
          ports:
            - containerPort: 80

---

apiVersion: v1
kind: Service
metadata:
  name: sample-app
spec:
  selector:
    app: sample-app
  ports:
    - name: http
      port: 80
      targetPort: 80

Save this into a file called sample-app.yaml, and execute the command:

kubectl apply -f sample-app.yaml

This will deploy the sample application and create a LoadBalancer service, which will expose the application outside the EKS Cluster.

Conclusion

Amazon Elastic Kubernetes Service (EKS) is a powerful service that can make it easier to run and deploy your Kubernetes applications on AWS. By following the above steps, you should now be able to create an EKS Cluster, launch worker nodes, and deploy your sample application with ease. Enjoy the power of Kubernetes and Amazon EKS in your own projects!

Amazon EKS Tutorial