If you work with container orchestration tools like Kubernetes and want to shift towards the Cloud infrastructure, consider using AWS EKS to automate containerized applications’ deployment, scaling, and management.
AWS EKS service allows you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane or nodes and containerized applications
This tutorial will teach you what AWS EKS is and how to create an AWS EKS cluster using Terraform and connect the Kubernetes cluster with the Ubuntu machine.
Table of Content
- What is Amazon Kubernetes Service (AWS EKS) ?
- AWS EKS Working
- Prerequisites
- Terraform files and Terraform directory structure
- Building Terraform Configuration files to Create AWS EKS Cluster
- Connecting to AWS EKS cluster or kubernetes cluster
- Conclusion
What is Amazon Kubernetes Service (AWS EKS) ?
Amazon Kubernetes Service (AWS EKS) allows you to host Kubernetes without worrying about infrastructure components such as Kubernetes nodes, installation of Kubernetes, etc. Some features of Amazon EKS are:
- AWS EKS service expands and scales across many availability zones so that there is always a high availability.
- AWS EKS service automatically scales and fix any impacted or unhealthy node.
- AWS EKS service is interlinked with various other AWS services such as IAM, VPC , ECR & ELB etc.
- AWS EKS service is a secure service.
AWS EKS Working
Now that you have a basic understanding of AWS EKS, it is important to know how it works.
- First step in AWS EKS service is to create AWS EKS cluster using AWS CLI or AWS Management console.
- While creating the AWS EKS cluster you have two options either choose your own AWS EC2 instances or instances managed by AWS EKS ie. AWS Fargate.
- Once the AWS EKS cluster is succesfully created, connect to kubernetes cluster with kubectl commands.
- Finally deploy and run applications on EKS cluster.

Prerequisites
- Ubuntu machine to run terraform command, if you don’t have Ubuntu machine you can create an AWS EC2 instance on AWS account with 4GB RAM and at least 5GB of drive space.
- Terraform Installed on Ubuntu Machine. If you don’t have Terraform installed refer Terraform on Windows Machine / Terraform on Ubuntu Machine
- Ubuntu machine should have IAM role attached with AWS EKS full permissions oadmin rights.
You may incur a small charge for creating an EC2 instance on Amazon Managed Web Service.
Terraform files and Terraform directory structure
Now that you know what is Amazon Elastic search and Amazon OpenSearch service are. Let’s now dive into Terraform files and Terraform directory structure that will help you write the Terraform configuration files later in this tutorial.
Terraform code, that is, Terraform configuration files, are written in a tree-like structure to ease the overall understanding of code with .tf format
or .tf.json
or .tfvars
format. These configuration files are placed inside the Terraform modules.
Terraform modules are on the top level in the hierarchy where configuration files reside. Terraform modules can further call another child to terraform modules from local directories or anywhere in disk or Terraform Registry.
Terraform contains mainly five files as main.tf , vars.tf , providers.tf , output.tf and terraform.tfvars.
- main.tf – Terraform main.tf file contains the main code where you define which resources you need to build, update or manage.
- vars.tf – Terraform vars.tf file contains the input variables which are customizable and defined inside the main.tf configuration file.
- output.tf : The Terraform output.tf file is the file where you declare what output paraeters you wish to fetch after Terraform has been executed that is after terraform apply command.
- .terraform: This directory contains
cached provider
, modules plugins and also contains the last known backend configuration. This is managed by terraform and created after you runterraform init
command. - terraform.tfvars files contains the values which are required to be passed for variables that are refered in main.tf and actually decalred in vars.tf file.
- providers.tf – The povider.tf is the most important file whrere you define your terraform providers such as terraform aws provider, terraform azure provider etc to authenticate with the cloud provider.
Building Terraform Configuration files to Create AWS EKS Cluster
Now that you know what are Terraform configurations files look like and how to declare each of them. Before running Terraform commands, let’s learn how to build Terraform configuration files to create AWS EKS Cluster on the AWS account. Let’s get into it.
- Log in to the Ubuntu machine using your favorite SSH client.
- Create a folder in opt directory named terraform-eks-demo and switch to that folder.
mkdir /opt/terraform-eks-demo
cd /opt/terraform-eks-demo
- Create a file named main.tf inside the /opt/terraform-eks-demo directory and copy/paste the below content. The below file creates the below components:
- Creates the IAM role that can be assumed while connecting with Kubernetes cluster.
- Create security group, nodes for AWS EKS.
- Creates the AWS EKS cluster and node groups.
# Creating IAM role so that it can be assumed while connecting to the Kubernetes cluster.
resource "aws_iam_role" "iam-role-eks-cluster" {
name = "terraform-eks-cluster"
assume_role_policy = <<POLICY
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": {
"Service": "eks.amazonaws.com"
},
"Action": "sts:AssumeRole"
}
]
}
POLICY
}
# Attach the AWS EKS service and AWS EKS cluster policies to the role.
resource "aws_iam_role_policy_attachment" "eks-cluster-AmazonEKSClusterPolicy" {
policy_arn = "arn:aws:iam::aws:policy/AmazonEKSClusterPolicy"
role = "${aws_iam_role.iam-role-eks-cluster.name}"
}
resource "aws_iam_role_policy_attachment" "eks-cluster-AmazonEKSServicePolicy" {
policy_arn = "arn:aws:iam::aws:policy/AmazonEKSServicePolicy"
role = "${aws_iam_role.iam-role-eks-cluster.name}"
}
# Create security group for AWS EKS.
resource "aws_security_group" "eks-cluster" {
name = "SG-eks-cluster"
# Use your VPC here
vpc_id = "vpc-XXXXXXXXXXX"
# Outbound Rule
egress {
from_port = 0
to_port = 0
protocol = "-1"
cidr_blocks = ["0.0.0.0/0"]
}
# Inbound Rule
ingress {
from_port = 0
to_port = 0
protocol = "-1"
cidr_blocks = ["0.0.0.0/0"]
}
}
# Creating the AWS EKS cluster
resource "aws_eks_cluster" "eks_cluster" {
name = "terraformEKScluster"
role_arn = "${aws_iam_role.iam-role-eks-cluster.arn}"
version = "1.19"
# Configure EKS with vpc and network settings
vpc_config {
security_group_ids = ["${aws_security_group.eks-cluster.id}"]
# Configure subnets below
subnet_ids = ["subnet-XXXXX","subnet-XXXXX"]
}
depends_on = [
"aws_iam_role_policy_attachment.eks-cluster-AmazonEKSClusterPolicy",
"aws_iam_role_policy_attachment.eks-cluster-AmazonEKSServicePolicy",
]
}
# Creating IAM role for AWS EKS nodes with assume policy so that it can assume
resource "aws_iam_role" "eks_nodes" {
name = "eks-node-group"
assume_role_policy = <<POLICY
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": {
"Service": "ec2.amazonaws.com"
},
"Action": "sts:AssumeRole"
}
]
}
POLICY
}
resource "aws_iam_role_policy_attachment" "AmazonEKSWorkerNodePolicy" {
policy_arn = "arn:aws:iam::aws:policy/AmazonEKSWorkerNodePolicy"
role = aws_iam_role.eks_nodes.name
}
resource "aws_iam_role_policy_attachment" "AmazonEKS_CNI_Policy" {
policy_arn = "arn:aws:iam::aws:policy/AmazonEKS_CNI_Policy"
role = aws_iam_role.eks_nodes.name
}
resource "aws_iam_role_policy_attachment" "AmazonEC2ContainerRegistryReadOnly" {
policy_arn = "arn:aws:iam::aws:policy/AmazonEC2ContainerRegistryReadOnly"
role = aws_iam_role.eks_nodes.name
}
# Create AWS EKS cluster node group
resource "aws_eks_node_group" "node" {
cluster_name = aws_eks_cluster.eks_cluster.name
node_group_name = "node_tuto"
node_role_arn = aws_iam_role.eks_nodes.arn
subnet_ids = ["subnet-","subnet-"]
scaling_config {
desired_size = 1
max_size = 1
min_size = 1
}
depends_on = [
aws_iam_role_policy_attachment.AmazonEKSWorkerNodePolicy,
aws_iam_role_policy_attachment.AmazonEKS_CNI_Policy,
aws_iam_role_policy_attachment.AmazonEC2ContainerRegistryReadOnly,
]
}
- Create one more file provider.tf file inside the /opt/terraform-eks-demo directory and copy/paste below content. The provider.tf file will allows Terraform to connect to the AWS cloud.
provider "aws" {
region = "us-east-2"
}
- Now the folder structure of all the files should like below.

- Now your files and code are ready for execution. Initialize the terraform using the terraform init command.
terraform init


- Terraform initialized successfully , now its time to run the plan command which provides you the details of the deployment. Run terraform plan command to confirm if correct resources is going to provisioned or deleted.
terraform plan


- After verification, now its time to actually deploy the code using terraform apply command.
terraform apply

Terraform commands terraform init
→ terraform plan
→ terraform apply
all executed successfully. But it is important to manually verify the AWS EKS cluster launched in the AWS Management console.
- Open your favorite web browser and navigate to the AWS Management Console and log in.
- While in the Console, click on the search bar at the top, search for ‘EKS’, and click on the EKS menu item. Generally EKS cluster take few minutes to launch.

- Now verify Amazon EKS cluster

- Finally verify the node group of the cluster.

Connecting to AWS EKS cluster or kubernetes cluster
Now you have a newly created AWS EKS cluster in AWS EKS service with proper IAM role permissions and configuration, but let’s learn how to connect to AWS EKS cluster from your ubuntu machine.
- Configure AWS credentials on Ubuntu machine using AWS CLI.
Make sure the AWS credentails should match with the IAM user or IAM role that created the cluster ie. use same IAM role credentials in Ubuntu machine that you used to create Kubernetes cluster.
- To connect to AWS EKS cluster you will need AWS CLI and kubectl installed on ubuntu machine. If you don’t have Refer here
- On ubuntu machine configure kubeconfig using the below command to make communication from your local machine to Kubernetes cluster in AWS EKS
aws eks update-kubeconfig --region us-east-2 --name terraformEKScluster

- Once the configuration is added, test the communication between local machine and AWS EKS cluster using kubectl get svc command. As you can see below you will get the service details within the cluster confirms the connectivity from Ubuntu machine to Kubernetes cluster.
kubectl get svc

Conclusion
In this tutorial, you learned what is AWS Elastic Kubernetes service is and how to create a Kubernetes cluster using Terraform, followed by connecting the Kubernetes cluster using the kubectl client from the Ubuntu machine.
Now that you have the AWS EKS cluster created, which applications do you plan to deploy on it?