Scalable Microservices Using Java and RESTful APIs on the Cloud

The adoption of microservices has revolutionized how scalable and resilient software systems are designed and deployed in cloud environments. This article examines the development of scalable microservices using Java and RESTful APIs, focusing on their implementation within cloud-native architectures. Java, with its robust ecosystem and mature frameworks like Spring Boot and Quarkus, remains a leading choice for building distributed services. RESTful APIs facilitate seamless communication between loosely coupled components, promoting flexibility and maintainability. The study explores containerization with Docker, orchestration with Kubernetes, and integration of CI/CD pipelines for efficient deployment. It also addresses critical aspects of scalability, including load balancing, caching, and performance optimization techniques specific to Java-based services. Observability practices such as distributed tracing, centralized logging, and health monitoring are discussed to enhance service reliability and fault tolerance. The practical benefits and challenges of transitioning from monolithic systems to microservices in cloud platforms like AWS and Azure. The article concludes by highlighting emerging trends, including serverless computing and AI-driven auto-scaling, offering insights for researchers and practitioners aiming to build robust, cloud-ready microservices architectures.