VProfile GitOps Platform on AWS EKS

Architecture

Project Overview

This project demonstrates an end-to-end GitOps workflow for deploying a Java-based application on AWS EKS. The platform follows GitOps principles where application changes are automatically deployed through ArgoCD after successful CI/CD validation and container image publication.

Technology Stack

Key Features

• Infrastructure provisioning using Terraform
• AWS EKS managed Kubernetes cluster
• GitHub Actions based CI/CD pipelines
• SonarQube quality gate validation
• Docker image build and publishing to Amazon ECR
• Helm-based Kubernetes deployments
• ArgoCD Auto Sync and Self-Healing
• AWS Load Balancer Controller (ALB Ingress)
• IRSA (IAM Roles for Service Accounts)
• Slack deployment notifications

Screenshots

Production Application Running on EKS

Automated Pull Request Validation

End-to-End GitOps Deployment Pipeline

Continuous Code Quality Analysis

Versioned Container Image Registry

GitOps Application Synchronization

Declarative Kubernetes Resource Management

Managed Kubernetes Platform on AWS

Microservices Running Across Kubernetes Namespaces

Real-Time Deployment Notifications

Key Challenges & Learnings

• Designing a complete GitOps workflow required separating application source code from deployment manifests and ensuring ArgoCD continuously synchronized cluster state with Git repositories.
• Managing image version updates between GitHub Actions, Amazon ECR and Helm charts was challenging. I implemented automated image tag updates in the GitOps repository to trigger deployments without manual intervention.
• Configuring ArgoCD auto-sync and self-healing features helped maintain cluster consistency and recover from manual configuration drift.
• Integrating SonarQube quality gates into the CI pipeline improved code quality and prevented deployments when quality standards were not met.
• Working with AWS EKS provided deeper understanding of Kubernetes networking, ingress management, load balancers, service discovery and container orchestration.
• Implementing Slack notifications improved deployment visibility by providing real-time feedback on pipeline execution and deployment status.
• This project strengthened my practical knowledge of GitOps principles, Infrastructure as Code, Kubernetes operations and production-style CI/CD automation.