International Journal of Scientific Research and Engineering Development

Serverless computing eliminates the need for server management by using event-driven functions. This paper presents a design and evaluation of an AWS-based serverless workflow for e-commerce applications. We propose a reference architecture using AWS Lambda, API Gateway, DynamoDB, S3, and Step Functions to implement typical e-commerce processes (order processing, inventory update, payment, notifications). A conceptual experimental setup is outlined, including synthetic load testing and fault injection to measure latency, throughput, cost, and reliability. Based on AWS documentation and benchmarks, we find that the serverless workflow can automatically scale to handle bursts of traffic (Step Functions now supports ~1,000 state transitions/sec, bursts 5,000) while maintaining modest end-to-end latency. The pay-per-request model minimizes idle cost, yielding much lower cost for intermittent workloads than always-on servers. Finally, we discuss benefits such as modularity and built-in retries, as well as trade-offs like cold-start overhead. Our analysis shows that AWS serverless architectures deliver high elasticity, resilience, and operational simplicity for e-commerce scenarios, aligning with industry guidance.

K P S L N Mouktika, P Gnana Sai Ram, P Bhanu Prakash,"Serverless Workflow Management System for an E-Commerce Website" International Journal of Scientific Research and Engineering Development, V9(2): Page(1911-1915) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.