Serverless CRUD API

Serverless CRUD API with Python, Lambda, API Gateway, and DynamoDB

Project Overview
We designed and implemented a Serverless CRUD API leveraging Python, AWS Lambda, API Gateway, and DynamoDB. This project highlights the use of serverless architecture to create, read, update, and delete data seamlessly, ensuring high performance and scalability.

The project walks through the complete development process, offering practical insights and step-by-step instructions for deploying the API on AWS. From designing the API structure to deploying it on a serverless stack, the solution showcases how businesses can optimize operations while reducing infrastructure costs.

Key Features:

  • Serverless Efficiency: Built on AWS Lambda and API Gateway, the API eliminates the need for traditional servers, offering cost-effective and scalable solutions.
  • Comprehensive CRUD Operations: Allows seamless creation, retrieval, updating, and deletion of data with minimal latency.
  • Data Handling with DynamoDB: Utilized DynamoDB for secure and efficient data storage, ensuring reliable and fast data access.
  • Python-Powered: Developed using Python for its simplicity, flexibility, and robustness in API development.

Skills & Tools Used:

  • Amazon Web Services (AWS): AWS Lambda for serverless computing and API Gateway for seamless integration.
  • Amazon DynamoDB: Implemented a NoSQL database for efficient, scalable, and low-latency data storage.
  • API Development: Delivered a robust and well-documented CRUD API that meets modern standards.
  • Python Programming:  Python’s versatility for developing and optimizing API logic.

This project is an excellent example of how serverless architecture can be used to build scalable and cost-efficient applications, enabling businesses to focus on functionality without worrying about managing servers.

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Date:

January 18, 2025