AWS EKS Architecture for Scalable Web Application

TL;DR

A scalable, secure, and production-ready cloud architecture built on Amazon Web Services using Amazon EKS. It combines microservices (React, Django, Celery), CI/CD with GitHub Actions, and managed services like Amazon RDS and Amazon S3 to deliver a high-performance production system.

Project Overview

This project demonstrates a modern cloud-native architecture designed to run production workloads efficiently. The system is deployed on Kubernetes using EKS and follows a microservices approach, separating frontend, backend, background processing, and monitoring.

It ensures:

• High availability
• Fault tolerance
• Secure networking
• Automated deployments

Goals of the Architecture

• Build a highly scalable system using Kubernetes
• Ensure secure communication within private networks
• Automate deployments with CI/CD pipelines
• Achieve high performance under load
• Implement centralized logging and monitoring
• Follow DevOps and cloud-native best practices

High-Level Architecture

At a high level, the system works like this:

1. Users access the application via DNS using Amazon Route 53
2. Traffic is routed through an AWS Application Load Balancer
3. Requests enter the Kubernetes cluster via Ingress
4. Services inside Amazon EKS handle application logic
5. Backend services interact with database and storage layers
6. Logs and metrics are collected for monitoring and debugging

User → Amazon Route 53 → AWS Application Load Balancer → Kubernetes Ingress → Amazon EKS (React / Django Services) → Amazon RDS / Amazon S3 → Response back via ALB → User

Core Components

Compute & Orchestration

• EKS Cluster – Manages containerized applications
• Kubernetes Pods
  • React (Frontend UI)
  • Django (Backend API)
  • Celery (Async processing)
  • Workers (Background jobs)
  • Grafana & Kibana (Monitoring dashboards)

Container & CI/CD

• Amazon Elastic Container Registry – Stores Docker images
• GitHub Actions – Automates build and deployment pipelines

Data & Storage

• Amazon RDS – Primary database
• Amazon S3 – Static files, backups, media

Observability

• Amazon CloudWatch – Metrics and logs
• Elasticsearch + Kibana – Log analysis
• Grafana – Real-time dashboards

Networking & Traffic Flow

The architecture uses a secure VPC design with public and private subnets:

• Public Subnet:
  • Load Balancer
  • Bastion Host
• Private Subnet:
  • EKS Cluster
  • Database

Data Layer & Persistence Design

• Amazon RDS
  • Handles structured data
  • Supports high availability and backups
• Amazon S3
  • Stores files and static assets
  • Highly durable and scalable

Key Design Choice:
All application services are stateless, making scaling easy and reliable.

Security Design

Security is implemented at multiple layers:

• VPC Isolation (Public vs Private subnets)
• IAM Roles for service-level permissions
• AWS Shield for DDoS protection
• AWS Certificate Manager for HTTPS
• NAT Gateway for secure outbound access
• No direct public access to database or backend

CI/CD & Deployment Strategy

The deployment pipeline is fully automated:

1. Developer pushes code to GitHub
2. GitHub Actions triggers pipeline
3. Docker images are built and pushed to ECR
4. Kubernetes manifests are applied
5. Rolling updates ensure zero downtime deployments

Key Learnings

• Kubernetes works best with stateless microservices
• Proper network segmentation is critical for security
• Observability tools are essential in production
• CI/CD automation reduces deployment risks
• Managed services reduce operational overhead
• Security should be implemented from the start