Containerization, DevOps, Kubernetes, Terraform

2 Mins Read

Kubify Your Cloud: AWS Kubernetes Deployment Made Easy


In cloud-native computing, Kubernetes has become a pioneer and a de facto standard for container orchestration. However, manually setting up a Kubernetes cluster can be cumbersome and error-prone. Thankfully, tools like Kops (Kubernetes Operations) exist to streamline this process, enabling users to automate the deployment and management of Kubernetes clusters on various cloud platforms.

Understanding the Components

Before getting into the technical details, let us briefly understand the key components involved in this automated deployment:

  • AWS (Amazon Web Services): Our chosen cloud provider, where we’ll provision the virtual machines (EC2 instances) for hosting the Kubernetes cluster.
  • Terraform: A popular Infrastructure as a Code tool used for provisioning and managing cloud infrastructure.
  • Kops (Kubernetes Operations): A command-line tool specifically designed for Kubernetes cluster management. The process of creating, updating, and deleting Kubernetes clusters is simplified.
  • Kubernetes: This platform is an open-source solution for container orchestration designed to streamline the deployment, scaling, and operation of applications within containers.

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Steps to Automate Kubernetes Cluster Deployment

Step 1: Provisioning Infrastructure with Terraform

We’ll start by using Terraform to provision the necessary AWS resources. This includes Amazon EC2 instances, IAM roles, security groups, etc. Below is a snippet of Terraform code illustrating how to provision an EC2 instance and associated resources:

Step 2: Deploying Kubernetes Cluster with Kops

Once provisioning the infrastructure, we can deploy the Kubernetes cluster using Kops. Kops simplifies cluster management by abstracting away the complexities of Kubernetes installation. Below is a snippet of a shell script that automates the Kubernetes cluster creation process:

Create a directory and add the files from

Now execute the below commands in the same directory.

terraform init
terraform fmt
terraform validate
terraform plan
terraform apply -auto-approve

Once the Cluster is deployed, the Output of the Jump Server is printed on the terminal.
You can now ssh into the Jump Server and cross-verify that your Cluster is running.

ssh -i MeharKopsServer-Key-private ubuntu@IP_ADDRESS
kops get cluster
kops validate cluster
kubectl get nodes

To delete the Cluster, execute the below commands.

kops get cluster
kops delete cluster --name --state s3:// --yes


In this blog post, we’ve explored the power of automation in deploying Kubernetes clusters on AWS using Kops and Terraform. By leveraging Infrastructure as Code practices, we can achieve repeatability, consistency, and scalability in our cloud infrastructure deployments. Automating the setup of Kubernetes clusters saves time and effort and even minimizes the risk of human error.

Feel free to reach out with any questions or feedback. Stay tuned for more exciting content on cloud-native technologies and automation!

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About CloudThat

Established in 2012, CloudThat is a leading Cloud Training and Cloud Consulting services provider in India, USA, Asia, Europe, and Africa. Being a pioneer in the cloud domain, CloudThat has special expertise in catering to mid-market and enterprise clients from all the major cloud service providers like AWS, Microsoft, GCP, VMware, Databricks, HP, and more. Uniquely positioned to be a single source for both training and consulting for cloud technologies like Cloud Migration, Data Platforms, DevOps, IoT, and the latest technologies like AI/ML, it is a top-tier partner with AWS and Microsoft, winning more than 8 awards combined in 11 years. Recently, it was recognized as the ‘Think Big’ partner from AWS and won the Microsoft Superstars FY 2023 award in Asia & India. Leveraging its position as a leader in the market, CloudThat has trained 650k+ professionals in 500+ cloud certifications and delivered 300+ consulting projects for 100+ corporates in 28+ countries.

WRITTEN BY Mehar Nafis



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