Java 17 Backend Development: Design backend systems using Spring Boot, Docker, Kafka, Eureka, Redis, and Tomcat
By Elara Drevyn
()
About this ebook
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
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Java 17 Backend Development - Elara Drevyn
Java 17 Backend Development
Design backend systems using Spring Boot, Docker, Kafka, Eureka, Redis, and Tomcat
Elara Drevyn
Preface
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 everything from foundational elements like object-oriented design and basic REST endpoints to advanced microservices architecture and container orchestration. It covers everything from wiring up databases with Hibernate to managing asynchronous communication with Apache Kafka and securing endpoints with Spring Security. You will gain insight into 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 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.
In this book you will learn to:
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.
Prologue
I know many Java professionals who struggle with bridging the gap between knowing the language fundamentals and writing a production-ready backend. They often find themselves grappling with configuration headaches, performance bottlenecks, and advanced frameworks that appear daunting. I decided to write this book because I've seen these problems time and again. Time and again, I saw talented developers trying to figure out how to adopt microservices, orchestrate containers, or integrate messaging systems, all while staying within deadlines and avoiding excessive complexity.
As I worked on various enterprise projects, I realized that certain patterns repeatedly emerged—connecting to databases with JPA or Hibernate, caching data, deploying with Tomcat or containers, managing configurations in dynamic environments, and ensuring proper testing strategies. There was a clear demand for concrete, step-by-step explanations. Colleagues expressed a clear need for guidance on handling concurrency, implementing security measures, and debugging errors in distributed services. Many felt overwhelmed by the number of libraries and the fast-paced changes in the ecosystem.
I'm sharing my experiences in a direct manner, focusing on how developers can utilize Java 17 effectively for server-side tasks. Each chapter tackles a specific need, from building REST endpoints to handling microservices communications. I show realistic tasks like setting up continuous integration, orchestrating containers, or installing caching solutions. I don't just present theoretical knowledge. I blend real application code with relevant concepts, not ignore them. My background in client-facing platforms convinced me that pushing code to production safely is just as important as writing elegant logic. I devote significant time to explaining testing, debugging, and the final mile of deployment.
While writing, I imagined a Java developer who has wrestled with half-baked solutions or incomplete instructions. I wanted them to see a cohesive path from the first lines of code to a reliable production environment. Throughout this book, I've deliberately chosen language that is accessible and real-world examples that are easy to understand. You will gain the confidence to piece everything together, no matter the size of the system they are creating. Java 17's new features enhance maintainability and performance, and this book shows how they seamlessly integrate into modern backend practices.
Approach backend development with renewed enthusiasm and ability to tackle emerging challenges head-on
- Elara Drevyn
Copyright © 2024 by GitforGits
All rights reserved. This book is protected under copyright laws and no part of it may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without the prior written permission of the publisher. Any unauthorized reproduction, distribution, or transmission of this work may result in civil and criminal penalties and will be dealt with in the respective jurisdiction at anywhere in India, in accordance with the applicable copyright laws.
Published by: GitforGits
Publisher: Sonal Dhandre
www.gitforgits.com
Printed in India
First Printing: December 2024
Cover Design by: Kitten Publishing
For permission to use material from this book, please contact GitforGits at [email protected].
Content
Preface
GitforGits
Acknowledgement
Chapter 1: Introduction to Java 17 and Backend Development
Understanding Java 17 Features
Role of Backend Development
Overview of Backend Technologies
Spring and Spring Boot
Hibernate ORM
RESTful APIs
Security, Caching, Messaging, and Microservices
Introduction to Book Application
Overview of GitforGits Project
Tools and Concepts
Summary
Chapter 2: Setting up Development Environment
Installing Java Development Kit (JDK) 17
Setting up Eclipse IDE
Managing Dependencies with Maven
Project Structure and Version Control
Summary
Chapter 3: Introduction to Spring and Spring Boot
Up and Running with Spring
Getting Started with Spring Boot
Dependency Injection and Inversion of Control
Creating GitforGits Base Application
Summary
Chapter 4: Building RESTful APIs with Spring Boot
Understanding RESTful Web Services
Creating Controllers and Request Mapping
Understanding Controllers
Mapping URLs to Methods
Sample Program: Building a Sample Controller
Handling HTTP Methods and Responses
Role of CRUD Operations
Implementing GET
Implementing POST
Implementing PUT
Implementing DELETE
Handling Errors and Status Codes
Testing Endpoints
Integration with Services and Repositories
Consistency and Documentation
Summary
Chapter 5: Data Persistence with Hibernate ORM and JPA
Configuring Hibernate with Spring Boot
Introducing Hibernate and JPA
Setting up Dependencies and Configuration
Entity Modeling with JPA Annotations
Using Spring Data JPA Repositories
Integrating Repositories into Services
Testing Integration
Handling Schema Evolution and Environments
Advanced JPA Features
Transactions and Consistency
Logging and Monitoring
Defining Entities and Relationships
Implementing Repositories
Summary
Chapter 6: Managing Database Interactions
Database Configuration and Connectivity
Setting Data Source Properties
Verifying Connections
Profile-specific Configurations
Using YAML for Configuration
Adapting to Different Environments
Connection Pooling and Advanced Settings
Testing Connectivity and Queries
Considering Migrations and Environments
Adapting to Other Databases
CRUD Operations with Repositories
Transaction Management
Introduction to @Transactional
Default Transactional Behavior
Controlling Transaction Scope and Isolation
Rollback Rules
Testing Transactions
Performance and Transaction Handling
Combining Transactions with Other Features
Querying with JPQL and Criteria API
Using JPQL for Complex Queries
Criteria API for Dynamic Queries
Summary
Chapter 7: User Authentication and Authorization with Spring Security
Introduction to Spring Security
Implementing Authentication Mechanisms
Role-Based Access Control
Understanding Roles and Authorities
Defining Roles in User Store
Configuring Authorization Rules
Method-Level Security
Evolving Roles and Permissions
Summary
Chapter 8: Caching with Redis
Understanding Caching Concepts
Integrating Redis with Spring Boot
Implementing Caching
Identifying What to Cache
Applying Caching Annotations
Choosing TTL Strategy
Handling Stale Data and Invalidation
Caching Complex Queries and Result Sets
Monitoring and Adjusting Cache Usage
Integrate Caching into CI/CD and Tests
Scaling and Enhancing the Caching Strategy
Summary
Chapter 9: Messaging with Apache Kafka
Setting up Kafka
Installing and Configuring Kafka
Integrating Kafka with Docker
Configuration Considerations and Tuning
Securing and Networking
Linking Kafka to App
Producing and Consuming Messages
Setting up Spring-Kafka Dependency
Creating a Kafka Producer
Creating a Kafka Consumer
Handling Complex Data Formats
Observing Offsets and Consumer Groups
Reliability and Error Handling
Integrating Kafka into App
Defining Event Model
Publishing a BookEvent
Consuming the Event
Logging and Auditing with Kafka
Handling Errors and Retries
Summary
Chapter 10: Microservices Architecture with Spring Cloud
Spring Cloud Overview
Why Microservices?
Key Components of Spring Cloud
Benefits of Integrated Microservices
Setting up a Config Server
Purpose of a Config Server
Creating a Config Server
Connecting to a Configuration Repository
Running the Config Server and Testing
Integrating Microservices with the Config Server
Handling Environment Profiles and Overrides
Registering Microservices with Eureka
Role of Eureka
Installing a Eureka Server
Registering the Microservices
Configuring a Gateway Service
Need of Gateway
Setting up Spring Cloud Gateway
Configuring Routes
Testing and Observability
Summary
Chapter 11: Testing and Debugging Backend Applications
Unit Testing with JUnit and Mockito
Why Unit Testing?
Installing JUnit and Mockito
Writing a Simple JUnit Test
Using Mockito to Mock Dependencies
Advanced Mockito Patterns
Test Organization and Best Practices
Debugging Failures
Integration Testing
Why Integration Testing?
Setting up Testing Environment
Using MockMvc for HTTP-Level Tests
Testcontainers for External Services
Multi-Service Integration
Debugging Techniques
Debugging with Logs and Correlation IDs
Using IDE Debugger
Leveraging Trace Tools for Distributed Systems
Sample Program: Logging Exception with Extra Data
Performance or Memory Profiling
Sample Program: Debugging a Failing Integration Test
Continuous Integration and Delivery
Setting up CI Pipeline
Adding Integration Tests to Pipeline
Implementing CD for Automated Deployments
Managing Environment-specific Config
Monitoring and Rollbacks
Sample Program: Jenkinsfile for a Microservice
Summary
Chapter 12: Deploying Java Backend Applications
Preparing App for Deploy
Choosing Right Build Artifacts
Optimizing Configuration
Preparing Database and External Dependencies
Logging and Monitoring
Security Considerations
Deployment Options
Final Verification before Launch
Deploying to Application Servers
Understanding Tomcat
Building WAR for GitforGits
Deploying WAR to Tomcat
Testing and Managing Deployment
Containerization with Docker
Installing Docker and Basic Commands
Creating Dockerfile
Persisting Data and Volumes
Building Minimal Images
Deploying Containers
Logging and Monitoring in Containers
Summary
Index
Epilogue
GitforGits
Prerequisites
This book is for Java developers, Spring developers, Spring Boot Programmers, web developers, and full-stack developers, as well as anyone interested in exploring the world of Java to improve the back-end of enterprise applications. You'll need some hands-on experience with Java 17 to get the most out of this book.
Codes Usage
Are you in need of some helpful code examples to assist you in your programming and documentation? Look no further! Our book offers a wealth of supplemental material, including code examples and exercises.
Not only is this book here to aid you in getting your job done, but you have our permission to use the example code in your programs and documentation. However, please note that if you are reproducing a significant portion of the code, we do require you to contact us for permission.
But don't worry, using several chunks of code from this book in your program or answering a question by citing our book and quoting example code does not require permission. But if you do choose to give credit, an attribution typically includes the title, author, publisher, and ISBN. For example, Java 17 Backend Development by Elara Drevyn
.
If you are unsure whether your intended use of the code examples falls under fair use or the permissions outlined above, please do not hesitate to reach out to us at [email protected].
We are happy to assist and clarify any concerns.
Chapter 1: Introduction to Java 17 and Backend Development
Understanding Java 17 Features
The Java programming language has traveled a long and interesting path since its inception in the mid-1990s. An initial release of Java 1.0 arrived around 1995 with a promise of write once, run anywhere
that captured the attention of developers who sought more portability in their projects. It began as something that could power applets inside browsers, then gradually found its place in server-side applications, enterprise systems, and various kinds of backend services. Over time, Java 2, Java 5, and later Java 8 introduced new syntactic sugar, improved concurrency models, and functional-style programming through lambdas and streams. By the time Java 11 came around, developers noticed a more rapid release cadence, with new major versions emerging every six months instead of every few years. This shift also introduced the concept of Long-Term Support (LTS) versions, where selected releases receive extended support and stability guarantees. Moving through Java 12, Java 13, and onward, incremental improvements enhanced overall language ergonomics. Java 14, Java 15, and Java 16 added pattern matching, better switch expressions, text blocks, and other features that simplified working with data. By the time we reach Java 17, the community finds a major LTS milestone that many consider to be a sensible baseline for modern server-side coding. Java has not stopped evolving with 17, as more recent versions like Java 18, Java 19, Java 20, Java 21, Java 22, and the emerging Java 23 continue to refine features, expand pattern matching, enhance virtual threads, and integrate new APIs. Each passing version encourages developers to write more expressive, more secure, and more maintainable code, while retaining backward compatibility for older projects that need stability and continuity.
Fig 1.1 Java Version Evolution
A large portion of the Java community gravitates toward Java 17 for several practical reasons, primarily because it represents a stable LTS release that many enterprises trust for building and maintaining production services. With the rapid pace of Java’s six-month release cycle, some releases are not supported for a long period, so enterprises often wait for these LTS versions to ensure that their codebases have a stable foundation for the next several years. Java 17 stands