This book offers beginners and backend developers with practical guidance on developing robust server-side applications with Java 17. Each chapter is structured around hands-on examples, real-world challenges, and step-by-step solutions tailored to Java professionals aiming to elevate their expertise in backend systems. It seamlessly transitions through essential development phases, covering foundational elements like from object-oriented design and basic REST endpoints to advanced microservices architecture and container orchestration. It covers from wiring up databases with Hibernate to managing asynchronous communication with Apache Kafka and securing endpoints with Spring Security. You will explore caching strategies with Redis and diving into techniques to boost performance and reduce database load. It also covers Spring Cloud concepts like Eureka for service discovery and Config Server for centralized management, showing how microservices function cohesively. The book also covers testing and debugging topics, highlighting modern tools and practices such as JUnit, Mockito, integration tests, and distributed tracing. The book clearly encourages consistent coding standards, efficient concurrency patterns, and a layered approach for verifying logic. As the book moves forward, it clearly illustrates how to maintain code quality and automate deployment workflows using continuous integration and delivery pipelines. Towards the book's end, you will know how to run Java 17 backend applications in simple production environments, and you will be applying best practices for logging, monitoring, security, and scalability. You will witness how all of these pieces fit together in a coherent ecosystem, whether they are deploying on Tomcat or containerizing with Docker. Key Learnings Set up RESTful APIs and data mappings. Use Spring Security for robust user authentication and role-based access control. Employ Redis caching techniques to offload databases and enhance performance. Integrate Kafka to establish asynchronous, high-throughput communication among microservices. Adopt Spring Cloud tools for configuration, discovery, and gateway-based microservice architectures. Employ Docker containerization for portable deployments across environments. Construct CI/CD pipelines to automate testing, building, and delivery of microservices. Conduct thorough integration testing with real databases, brokers, and external dependencies. Use debugging tools, logs, and distributed tracing to isolate production issues. Optimize concurrency, resource usage, and monitoring to handle large-scale backend demands. Table of Content Introduction to Java 17 and Backend Development Setting up Development Environment Introduction to Spring and Spring Boot Building RESTful APIs with Spring Boot Data Persistence with Hibernate ORM and JPA Managing Database Interactions User Authentication and Authorization with Spring Security Caching with Redis Messaging with Apache Kafka Microservices Architecture with Spring Cloud Testing and Debugging Backend Applications Deploying Java Backend Applications