/Serverless-Web-Application-Deployment-on-AWS

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🌐 Serverless Web Application Deployment on AWS

A serverless web application built using AWS services to efficiently handle user requests, manage data storage, and deliver content securely and quickly. The application leverages S3, API Gateway, Lambda, DynamoDB, and CloudFront for a fully functional and scalable solution.

Key Features

  • S3 Bucket: Hosts static web content, including HTML, CSS, and JavaScript files.
  • API Gateway: Manages REST API endpoints and triggers Lambda functions to handle GET and POST requests.
  • Lambda Functions: Python-based functions handle CRUD operations (Create, Read, Update, Delete) on DynamoDB.
  • DynamoDB: NoSQL database for storing and retrieving application data.
  • CloudFront: Content Delivery Network (CDN) that serves S3 content over HTTPS, providing encryption in transit and improving application performance.

Technologies Used

  • AWS S3: Storage for static web content.
  • AWS API Gateway: API management for handling HTTP requests.
  • AWS Lambda: Serverless functions to handle backend logic.
  • AWS DynamoDB: NoSQL database for data storage.
  • AWS CloudFront: CDN for delivering content securely and efficiently.

Folder Structure

  • README.md – Project documentation
  • getStudents.py – Lambda function to retrieve data from DynamoDB
  • insertStudentData.py – Lambda function to insert new data into DynamoDB
  • index.html – Static web content (HTML)
  • scripts.js – Client-side logic (JavaScript)

How It Works

  1. Static Content Hosting:
    • The static web content (HTML, CSS, JS) is hosted in an S3 bucket.
  2. API Gateway:
    • Endpoints are created in API Gateway to manage user interactions, such as fetching and inserting data.
  3. Lambda Functions:
    • Two Python-based Lambda functions are used: one for retrieving student data (getStudents.py) and another for inserting student data (insertStudentData.py) into DynamoDB.
  4. DynamoDB:
    • The DynamoDB table stores student data, and the Lambda functions interact with this table to perform CRUD operations.
  5. CloudFront:
    • CloudFront delivers the static content securely over HTTPS and optimizes application performance.

Deployment Steps

  1. Create an S3 Bucket to host your static content.
  2. Set up API Gateway with endpoints for handling GET and POST requests.
  3. Write Lambda Functions in Python to interact with DynamoDB.
  4. Create a DynamoDB Table for storing the necessary data.
  5. Configure CloudFront to serve content securely over HTTPS.