International Journal of Advanced Research in Computer and Communication Engineering

Abstract: This paper presents an empirical evaluation of serverless computing architecture through the development and deployment of a REST API-based todo management system using AWS cloud services. The system leverages AWS Lambda for serverless compute, Amazon API Gateway for HTTP endpoint management, and Amazon DynamoDB for NoSQL data persistence. Through systematic performance testing and cost analysis conducted over a 30-day operational period, we demonstrate the practical advantages and limitations of serverless architecture for web applications. Performance measurements show average response latencies of 65-78 milliseconds for warm Lambda executions across CRUD operations, with success rates exceeding 99.7%. Cost analysis reveals monthly operational expenses of approximately $1.33 for 50,000 requests, representing a 97% reduction compared to equivalent EC2-based infrastructure. The study addresses challenges including cold start latency mitigation, CORS configuration, and DynamoDB schema design for NoSQL environments. Implementation artifacts include five Lambda functions totaling 850 lines of Python code and a responsive web frontend built with vanilla JavaScript. This work contributes practical insights for developers adopting serverless technologies and validates theoretical serverless computing advantages through measurable real-world deployment metrics.

Keywords: Serverless Computing, AWS Lambda, REST API, Amazon DynamoDB, Performance Evaluation, Cost Analysis, Function-as-a-Service, Cloud-Native Architecture.

Downloads: | DOI: 10.17148/IJARCCE.2026.15309