🚀 Terraform EKS Cluster Automation

Welcome to the Terraform EKS Cluster Automation project! This repository is a one-stop solution for provisioning a fully functional Kubernetes cluster on AWS, using the power of Terraform. This is not your typical "Hello World" setup—it's an entire environment where infrastructure as code (IaC) meets cutting-edge cloud automation.

🌟 Why This Project?

In the world of DevOps, speed, reliability, and consistency are key. With this project, I aim to automate the deployment of a highly available and scalable Kubernetes cluster using Amazon Elastic Kubernetes Service (EKS), all while minimizing manual intervention. The result? A Kubernetes environment ready to handle production-level workloads with minimal effort. Oh, and did I mention? It's all fully reproducible!

🔧 What’s Inside?

Here’s a breakdown of the Terraform files that bring this project to life:

📁 terraform-eks-cluster/
├── backend.tf              # Configuration for remote state storage.
├── data-sources.tf         # Dynamic data fetching for flexibility.
├── eks-cluster.tf          # EKS Cluster definition and config.
├── node-groups.tf          # Managed worker node groups.
├── outputs.tf              # Key information outputs after running the configuration.
├── providers.tf            # AWS provider configurations.
├── terraform.tfvars        # Customizable variables for your environment.
├── variables.tf            # Input variables.
└── vpc.tf                  # VPC setup for EKS.

🛠️ Key Features

• Full Automation: Completely spin up an EKS Cluster with just one command! No need to worry about manual configurations.
• Dynamic Node Groups: Automatically provision and manage EC2 worker nodes that will run your Kubernetes workloads.
• Scalable VPC Architecture: A well-designed Virtual Private Cloud (VPC) architecture tailored for your EKS cluster, with public and private subnets.
• IAM Role Management: Fully managed Identity and Access Management (IAM) roles and policies for both the EKS control plane and worker nodes.
• Outputs for Easy Access: All key data like VPC ID, EKS Cluster name, and node group details are presented in a neat summary after deployment.

🚀 How It Works (The Magic!)

1. VPC Setup: Terraform provisions a fault-tolerant VPC with all the necessary networking components (subnets, gateways, route tables). This ensures your EKS cluster operates in a secure and scalable network environment.

2. EKS Cluster Creation: Using the power of AWS EKS, we launch a managed Kubernetes cluster. Say goodbye to manual control plane management! AWS takes care of the heavy lifting.

3. Node Groups: Terraform automates the provisioning of worker node groups, ensuring they are ready to handle containerized workloads right from the get-go.

4. Remote State Management: Remote state storage using S3 ensures that your infrastructure state is shared and reliable. The backend.tf ensures that Terraform state is stored safely for team collaboration and disaster recovery.

⚙️ Prerequisites

Before diving in, make sure you’ve got the following ready:

• AWS CLI: Configured with the right access permissions.
• Terraform: Installed and ready to work its magic.
• S3 Bucket: For storing your Terraform remote state.
• DynamoDB Table: For state locking and consistency (optional, but highly recommended).

🚀 Quickstart Guide

Here’s how you can get your own EKS cluster up and running in no time:

1. Clone the Repo:

   git clone https://github.com/your-username/terraform-eks-cluster.git
   cd terraform-eks-cluster

2. Initialize Terraform:

   This prepares the working directory with Terraform plugins and modules.

   terraform init

3. Preview the Changes:

   It’s always good practice to see what’s about to happen.

   terraform plan

4. Apply the Configuration:

   Ready to deploy? Just apply the changes and let Terraform handle the rest.

   terraform apply

5. Grab Your Outputs:

   Once completed, Terraform will display important outputs like the cluster name, VPC ID, and node group ARNs.

   terraform output

📜 Customization Options

You can tweak the following parameters in terraform.tfvars to adjust the setup to your needs:

• region: AWS region where the infrastructure will be deployed.
• eks_cluster_name: A custom name for your EKS cluster.
• node_group_instance_type: The EC2 instance type for the worker nodes.
• desired_capacity: Desired number of worker nodes.
• max_size: Maximum number of worker nodes.

📦 Outputs You Care About

At the end of the process, Terraform provides the following essential outputs:

• EKS Cluster Name: Your cluster’s name for future reference.
• VPC ID: The ID of the VPC hosting your cluster.
• Node Group ARNs: The Amazon Resource Names (ARNs) of your worker node groups.
• Subnet IDs: The subnet IDs where your Kubernetes nodes are deployed.

🧩 What’s Next?

• Scaling Up: Add more node groups for specific workloads, or increase the size of existing ones.
• Service Discovery: Set up AWS ALB Ingress Controller to manage load balancing for Kubernetes services.
• Monitoring: Integrate with Prometheus and Grafana for advanced monitoring.

📝 Notes

This project was built as part of my DevOps learning journey to automate and manage production-ready Kubernetes clusters in AWS. Feel free to fork it, play around, or contribute back!

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🙌 Conclusion

With this Terraform setup, provisioning and managing an EKS cluster is as easy as running a few commands. No more manual configurations, and no more headaches just smooth, reliable infrastructure!

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🚀 Let’s Terraform the world!