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Introduction
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.
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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.
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 https://github.com/Mehar-Nafis/Kops-Cluster-Using-Terraform/tree/main/Setup/terraform
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
Conclusion
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
CloudThat is a leading provider of Cloud Training and Consulting services with a global presence in India, the USA, Asia, Europe, and Africa. Specializing in AWS, Microsoft Azure, GCP, VMware, Databricks, and more, the company serves mid-market and enterprise clients, offering comprehensive expertise in Cloud Migration, Data Platforms, DevOps, IoT, AI/ML, and more.
CloudThat is the first Indian Company to win the prestigious Microsoft Partner 2024 Award and is recognized as a top-tier partner with AWS and Microsoft, including the prestigious ‘Think Big’ partner award from AWS and the Microsoft Superstars FY 2023 award in Asia & India. Having trained 850k+ professionals in 600+ cloud certifications and completed 500+ consulting projects globally, CloudThat is an official AWS Advanced Consulting Partner, Microsoft Gold Partner, AWS Training Partner, AWS Migration Partner, AWS Data and Analytics Partner, AWS DevOps Competency Partner, AWS GenAI Competency Partner, Amazon QuickSight Service Delivery Partner, Amazon EKS Service Delivery Partner, AWS Microsoft Workload Partners, Amazon EC2 Service Delivery Partner, Amazon ECS Service Delivery Partner, AWS Glue Service Delivery Partner, Amazon Redshift Service Delivery Partner, AWS Control Tower Service Delivery Partner, AWS WAF Service Delivery Partner, Amazon CloudFront Service Delivery Partner, Amazon OpenSearch Service Delivery Partner, AWS DMS Service Delivery Partner, AWS Systems Manager Service Delivery Partner, Amazon RDS Service Delivery Partner, AWS CloudFormation Service Delivery Partner, AWS Config, Amazon EMR and many more.

WRITTEN BY Mehar Nafis
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