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AWS EKS Demo Environment

In Development

Production-grade Kubernetes infrastructure deployed entirely through code

AWS EKS Terraform Kubernetes CI/CD
AWS EKS Demo Environment - Cloud infrastructure diagram

Overview

This project serves as a living demonstration of my infrastructure-as-code capabilities, featuring a fully automated AWS EKS cluster that provisions, configures, and deploys applications without any manual intervention.

The entire infrastructure is defined in Terraform, with GitLab CI/CD pipelines handling everything from cluster provisioning to application deployments. It showcases real-world patterns used in production environments.

Challenge and Approach

The Challenge

Demonstrating DevOps and cloud infrastructure skills to potential employers is challenging with just words on a resume. I needed a tangible, live environment that showcases my ability to design, implement, and maintain production-grade Kubernetes infrastructure on AWS.

The Approach

I built a complete EKS environment using infrastructure-as-code principles. Terraform manages all AWS resources, Kubernetes manifests define the workloads, and GitLab CI/CD orchestrates the entire lifecycle. The result is a fully automated, reproducible infrastructure that demonstrates real-world DevOps practices.

Architecture & Tech Stack

The architecture follows AWS best practices with a multi-AZ EKS cluster, managed node groups, and integrated AWS services for logging, monitoring, and secrets management.

EKS Cluster

Managed Kubernetes control plane with multi-AZ worker nodes

AWS EKSKubernetesEC2 Node Groups

Infrastructure as Code

All resources defined and versioned in Terraform with remote state

TerraformS3 BackendDynamoDB Locking

CI/CD Pipeline

Automated provisioning and deployment through GitLab

GitLab CI/CDkubectlHelm

Observability

Integrated monitoring and logging with AWS native services

CloudWatchContainer InsightsAWS X-Ray

Key Features

Fully Automated Provisioning

Single pipeline execution creates the entire infrastructure from scratch

GitOps Workflow

All changes go through version control with automated apply on merge

Cost Optimization

Spot instances and auto-scaling to minimize costs while maintaining availability

Security Best Practices

IAM roles for service accounts, network policies, and secrets management

Implementation Highlights

Zero-Touch Deployments

Implemented a complete GitOps workflow where merging to main automatically triggers Terraform apply and Kubernetes deployments with proper approval gates.

Infrastructure Testing

Added Terraform plan validation and policy checks in the CI pipeline to catch issues before they reach production.

Results & Impact

  • Complete cluster provisioning in under 15 minutes
  • Infrastructure costs under $50/month using spot instances
  • Demonstrates proficiency with AWS, Kubernetes, and Terraform
  • Serves as a live portfolio piece for potential employers

Explore This Project

Interested in seeing more? Check out the live demo or browse the source code.