Serverless Application Deployment Using AWS Lambda and API Gateway.

Abstract - Serverless computing is transforming the way applications are developed and deployed by abstracting the complexities of server management. This paper presents the design and implementation of a serverless application using AWS Lambda and API Gateway. The application demonstrates how cloud-native features like scalability, reduced operational overhead, and cost efficiency can be achieved through serverless architecture. The methodology focuses on event-driven function deployment, RESTful API exposure, and integration with AWS services such as DynamoDB. The paper includes system architecture, implementation strategies, sequence and activity diagrams, testing results, and a discussion on performance. We conclude with future directions to improve serverless applications in terms of latency and observability. As enterprises seek to accelerate application development cycles while minimizing infrastructure concerns, serverless computing emerges as a viable solution. This study explores the design, development, and deployment of a serverless application using Amazon Web Services (AWS) Lambda and API Gateway. The solution demonstrates a real-world use case—a task management REST API—integrated with AWS services to offer seamless, on-demand execution of backend logic without server maintenance. Emphasis is placed on architectural design, cloud integration, performance analysis, and deployment best practices. Key Words: Serverless computing, AWS lambda, Amazon API gateway, Cloud-Native Architecture, Cloud deployment