SERVERLESS API WITH AWS LAMBDA AND DYNAMO DB

Abstract: Modern web applications require scalable and efficient backend systems to manage large volumes of requests and data. Traditional server-based architectures often require complex infrastructure management and maintenance. To address these limitations, serverless computing has emerged as an effective solution for building scalable and cost-efficient APIs. This paper presents the design and implementation of a Serverless API using AWS Lambda and DynamoDB. The system leverages Amazon Web Services to build a fully serverless architecture that eliminates the need for server management while providing automatic scaling and high availability. AWS Lambda is used to execute backend logic, while Amazon DynamoDB serves as a highly scalable NoSQL database for data storage. The proposed system enables developers to build lightweight, scalable APIs that can process requests efficiently without maintaining traditional server infrastructure. The evaluation results demonstrate that serverless architecture reduces operational overhead, improves scalability, and optimizes resource utilization.

Keywords: Serverless Computing, AWS Lambda, DynamoDB, Cloud Computing, REST API, Serverless Architecture