AWS LAMBDA FOR SERVERLESS MICROSERVICES ARCHITECTURE

Abstract: E-commerce platforms require scalable and reliable backend infrastructures to support large volumes of user requests, transactions, and product management operations. Traditional monolithic architectures often face difficulties in handling dynamic workloads and require continuous server management. This research presents a serverless microservices-based ecommerce backend system using Amazon Web Services (AWS).

The proposed platform uses AWS Lambda for serverless computing, Amazon API Gateway for API management, DynamoDB for data storage, and messaging services such as SNS and SQS for asynchronous communication. The architecture divides the application into independent microservices including user management, product catalog, cart management, order processing, and payment services.

Infrastructure deployment is automated using AWS Serverless Application Model (SAM). The serverless approach reduces infrastructure overhead, improves scalability, and enables costefficient cloud resource utilization. The system demonstrates how cloud-native services can be integrated to build a modern, scalable, and reliable e-commerce backend platform.

Keywords: AWS Lambda, Serverless Computing, Microservices, E-commerce, DynamoDB, Cloud Computing