top of page
sophia-logo.png

Built By Soniya

  • Linkedin

Built By Soniya

AWS Scalable Web App Architecture

Description

About the project

Click Here to check the architecture diagrams and complete case study(GITHUB)


The Goal

Design a highly available, fault-tolerant, and scalable web infrastructure on AWS — the kind of architecture you’d expect from a production-ready application that can handle real-world traffic, failures, and spikes.


The Problem

Modern web applications need to stay up — no matter the traffic load or server failure. Manually managing uptime and scaling is inefficient and error-prone. This project was built to showcase how AWS native tools can automate and scale a full-stack deployment with ease and reliability.


What I Built


A complete, production-grade deployment architecture with:

  • 🖥️ Amazon EC2 instances running a web app

  • 📶 Elastic Load Balancer (ALB) distributing traffic

  • 🔁 Auto Scaling Group to automatically add/remove servers

  • 🌐 Route 53 for DNS + failover routing

  • 🔒 Security Groups + IAM roles for secure infrastructure


Everything is deployed across multiple Availability Zones to ensure true fault tolerance.

Tech Stack


  • AWS EC2 for compute

  • Auto Scaling Groups for elasticity

  • Application Load Balancer for routing

  • Route 53 for DNS + health checks

  • Amazon CloudWatch for monitoring

  • Amazon S3 (optional) for static asset delivery

  • IAM for secure access control


Architecture Overview


  • User requests come through Route 53 (DNS)

  • Traffic is routed to the ALB, which checks for healthy EC2 instances

  • If demand spikes, Auto Scaling spins up more EC2s

  • If an instance fails, it’s automatically replaced

  • Everything is distributed across multiple AZs for high availability


What I Learned


This project helped me understand:

  • How to architect for availability, resiliency, and performance

  • The relationship between networking, compute, and DNS

  • The importance of designing cloud-native systems from Day 1


Why It Matters


Whether you're deploying a portfolio site or a full SaaS product, cloud infrastructure should never be the bottleneck. This project reflects real-world readiness — the kind of system that just works, even when traffic surges or a server goes down.


Next Steps:

I plan to expand this project by integrating:

  • CI/CD with CodePipeline + CodeDeploy

  • SSL/TLS with ACM

  • S3 + CloudFront for hybrid static + dynamic apps

  • RDS for database-backed apps


Built With:

Python • AWS CLI • EC2 • ALB • ASG • Route 53 • IAM • VPC • CloudWatch

Client:

Web Application

Service

AWS Architecture

Related Projects

Projects you may be interested in

AI-Powered Zip-Code Expansion Strategy-PPEC

AI-Powered Zip-Code Expansion Strategy-PPEC

PPEC of PB

AI Solution

Infrastructure: Segmentation+Migration

Infrastructure: Segmentation+Migration

Startup

AWS Migration

Predict regions priortization for Lowe's

Predict regions priortization for Lowe's

Lowe's

AI Predictor

Visitor Prediction + Micro-Targeted Ad Campaign

Visitor Prediction + Micro-Targeted Ad Campaign

NCCHR

AI Strategy

Salesforce Market Segmentation

Salesforce Market Segmentation

B2B Company

Salesforce CRM

bottom of page