This module explores the advanced capabilities of Spring Boot that enable the design of scalable, maintainable, and production-grade applications. It begins by unpacking the deeper architectural patterns supported by Spring Boot, such as layered architecture, modular design, and domain-driven development. Learners will gain insight into how to structure enterprise applications for long-term scalability and clarity, using advanced techniques like custom auto-configuration, conditional beans, and Spring Boot starters. The module also introduces configuration profiles, environment-based setup, and best practices for managing application properties. By the end, learners will have the architectural grounding to build robust applications that are cleanly separated, highly configurable, and ready for complex business needs.

This module introduces the microservices architectural style and demonstrates how Spring Boot simplifies the development of distributed systems. It begins by comparing monolithic and microservice architectures, outlining the benefits and trade-offs of a microservices approach. Learners will explore key components required for building microservices with Spring Boot, including service discovery, centralized configuration, inter-service communication (via REST and messaging), and fault tolerance. The module also covers the role of Spring Cloud in enabling scalable microservices and introduces tools such as Eureka, Config Server, and OpenFeign. By the end, learners will understand how to design, build, and orchestrate Spring Boot microservices that are resilient, independently deployable, and easy to maintain.

This module focuses on ensuring the reliability, efficiency, and maintainability of Spring Boot applications through rigorous testing and strategic performance tuning. It begins by introducing essential testing methodologies such as unit testing, integration testing, and end-to-end testing within the Spring Boot ecosystem. Learners will explore popular testing frameworks like JUnit, Mockito, and Spring Boot Test, along with best practices for writing meaningful, isolated tests. The module then transitions into performance optimization techniques, covering profiling, benchmarking, and tuning JVM parameters. Tools like Spring Actuator, JProfiler, and Micrometer will be introduced to monitor and improve application behavior. By the end, learners will be able to validate application correctness and apply optimization strategies to enhance system performance.

This module explores how to seamlessly integrate a Spring Boot backend with a modern React frontend, enabling the development of full-stack web applications. It begins by introducing RESTful communication between client and server, focusing on best practices for designing APIs that are optimized for frontend consumption. Learners will gain hands-on experience in connecting React components to Spring Boot services using fetch and Axios, handling asynchronous data, and managing application state effectively. The module also covers cross-origin resource sharing (CORS), authentication workflows, and deployment strategies for full-stack applications. By the end, learners will be able to bridge the backend and frontend layers into a cohesive, production-ready application architecture.