Serverless Deployment

This project demonstrates a complete Serverless Architecture using Amazon DynamoDB, IAM, Lambda, API Gateway, and S3.
It performs simple employee data operations through REST API methods and hosts a frontend application on a public S3 bucket.

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Architecture Flow

1️ DynamoDB

• Table Name: employeeData
• Primary Key: employeeid

2️ IAM Role

• Trusted Entity: Lambda
• Permissions: DynamoDB
• Attached to Lambda functions to allow secure database access.

3️ Lambda Functions

• insertEmployeeData
• getEmployees

These functions handle adding new employee data and retrieving existing employee records.

4️ API Gateway

• Methods: GET, POST
• CORS Enabled
• Integrates directly with Lambda
• Acts as the Front Door for accessing backend services

5️ S3 Public Frontend

• Hosts the static frontend application
• S3 bucket is made public
• Static website hosting enabled

instantly data is updated in dynamoDB

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How REST API Works

RESTful API allows two computer systems to securely exchange information over the internet.
Most business applications use APIs to communicate with internal and third-party applications.

Example Flow

Client → API Gateway → Lambda → DynamoDB

API Gateway Provides

• REST API
• Proxy Requests
• CRUD Operations
• Fully Managed API Layer
• Easy creation, publishing, monitoring, and securing APIs at scale

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Project Components

• Frontend: index.html, script.js (hosted in S3)
• Backend: Lambda Functions
• API Layer: API Gateway
• Database: DynamoDB
• Security: IAM Role with DynamoDB Permissions

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End-to-End Flow

1. User accesses frontend hosted in S3
2. Frontend sends GET/POST requests
3. API Gateway receives request
4. API Gateway triggers Lambda
5. Lambda interacts with DynamoDB
6. Response returns back to the user

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Key Features

• Fully Serverless
• No servers to maintain
• Scalable and cost-efficient
• Easy to deploy
• Clean and simple architecture