Reserving for Restaurants

Reserving for Restaurants is a serverless restaurant reservation system designed to provide scalable, real-time booking capabilities. Built using AWS services, it efficiently handles reservation requests, notifications, and data storage while ensuring high fault tolerance and security.

Features

• Serverless Architecture: Deployed using AWS Lambda, API Gateway, and DynamoDB for scalable and cost-effective operations.
• Real-time Notifications: Utilizes AWS SNS (Simple Notification Service) for instant reservation notifications.
• Decoupled Processing: Amazon SQS (Simple Queue Service) ensures reliable and fault-tolerant handling of reservation data.
• Responsive Frontend: Hosted on Amazon EC2, providing a seamless user experience with security group configurations for enhanced security.

Technologies Used

• AWS Lambda: Executes serverless functions for reservation management and notifications.
• Amazon API Gateway: Manages API requests and routes them to Lambda functions.
• DynamoDB: Provides efficient data storage with quick retrieval capabilities for reservation data.
• Amazon SNS: Sends real-time notifications to customers and restaurant staff about reservation status.
• Amazon SQS: Handles reservation requests with decoupled, reliable processing and high fault tolerance.
• Amazon EC2: Hosts the front-end, secured with Virtual Private Cloud (VPC) configurations and security groups.
• Security Groups: Ensures network security and controlled access to backend systems.

Installation

To set up this system, follow the steps below:

1. Clone this repository:

   git clone https://github.com/bhavya844/Reserving-For-Restaurants.git
   cd reserving-for-restaurants

2. Deploy the Lambda functions:

   • Create Lambda functions for reservation handling and notifications.
   • Link the functions to DynamoDB for data storage and Amazon SNS for real-time alerts.

3. Set up API Gateway:

   • Create REST APIs using Amazon API Gateway and link them to the Lambda functions for handling reservation requests.

4. Set up DynamoDB:

   • Create a DynamoDB table for storing reservation data with proper indexing and partition keys.

5. Configure Amazon SQS:

   • Set up an SQS queue to process incoming reservation requests asynchronously.

6. Deploy the Frontend:

   • Host the responsive frontend on Amazon EC2.
   • Configure VPC and security groups for secure communication between the frontend and backend.

Usage

• Make a Reservation: Users can make restaurant reservations in real-time, receiving immediate confirmation via email or SMS.
• Notifications: Real-time notifications are sent to both customers and staff when reservations are made or modified.