Scalable Phonebook Application

A highly available phonebook web application deployed on AWS with auto-scaling capabilities, built using Python Flask, MySQL RDS, and Infrastructure as Code with Terraform.

Overview

This project demonstrates enterprise-level cloud architecture by implementing a scalable phonebook application. It showcases:

• High Availability using AWS Application Load Balancer
• Auto-scaling EC2 instances
• Managed MySQL database with AWS RDS
• Infrastructure as Code using Terraform
• CI/CD best practices

Features

• Search: Find contacts quickly with case-insensitive search
• Add/Update: Create and modify contact information
• Delete: Remove outdated contacts
• Data Validation: Smart input validation for names and phone numbers
• Auto-scaling: Handles traffic spikes automatically
• High Availability: Runs across multiple availability zones

Architecture

• Application Load Balancer with auto-scaling EC2 instances
• MySQL RDS for persistent storage
• Multiple security groups for enhanced security
• Distributed across availability zones

Technologies

• Backend: Python Flask
• Database: AWS RDS (MySQL 8.0)
• Infrastructure:
  • AWS (ALB, EC2, Auto Scaling, RDS)
  • Terraform for IaC
• Security: Custom security groups, isolated database tier

Quick Start

1. Prerequisites

   • AWS Account
   • Terraform installed
   • AWS CLI configured

2. Deployment

   # Clone repository
   git clone [repository-url]
   
   # Initialize Terraform
   terraform init
   
   # Deploy infrastructure
   terraform apply
   
   # Access application (URL in Terraform output)

Infrastructure Details

• Load balanced across availability zones
• Auto-scales between 1-3 instances
• t2.micro EC2 instances with custom launch template
• Private subnet RDS instance
• Automated deployment with Terraform