Designing Scalable Serverless Java Microservices Using Spring Boot and AWS Lambda in Cloud-Native Architectures

The design and deployment of contemporary apps is being completely transformed by serverless computing, which abstracts infrastructure management and makes pay-as-you-go, auto-scaling models possible. Although Java has historically been thought to be less appropriate for serverless environments because of its slower cold-start times, developments like GraalVM, Spring Boot optimizations, and AWS Lambda's support for custom runtimes have made serverless Java feasible for production-grade apps. This study examines the deployment tactics, performance enhancements, and architectural principles for creating scalable serverless Java microservices with Spring Boot on AWS Lambda.This paper explores how developers can embrace cloud-native advantages like scalability, event-driven architecture, and lower operational overhead while maintaining familiar Spring programming models by examining the synergy between Spring Cloud Function, AWS Lambda, and lightweight deployment mechanisms. In order to assist teams in successfully implementing serverless Java, the study also outlines best practices, use cases, and performance issues. All things considered, the paper advances knowledge of the potential and difficulties associated with using Java on AWS to create robust serverless systems.