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Mastering Spring Boot 3.0

You're reading from   Mastering Spring Boot 3.0 A comprehensive guide to building scalable and efficient backend systems with Java and Spring

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781803230788
Length 256 pages
Edition 1st Edition
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Author (1):
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Ahmet Meric Ahmet Meric
Author Profile Icon Ahmet Meric
Ahmet Meric
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Table of Contents (16) Chapters Close

Preface 1. Part 1: Architectural Foundations
2. Chapter 1: Introduction to Advanced Spring Boot Concepts FREE CHAPTER 3. Part 2: Architectural Patterns and Reactive Programming
4. Chapter 2: Key Architectural Patterns in Microservices – DDD, CQRS, and Event Sourcing 5. Chapter 3: Reactive REST Development and Asynchronous Systems 6. Part 3: Data Management, Testing, and Security
7. Chapter 4: Spring Data: SQL, NoSQL, Cache Abstraction, and Batch Processing 8. Chapter 5: Securing Your Spring Boot Applications 9. Chapter 6: Advanced Testing Strategies 10. Part 4: Deployment, Scalability, and Productivity
11. Chapter 7: Spring Boot 3.0 Features for Containerization and Orchestration 12. Chapter 8: Exploring Event-Driven Systems with Kafka 13. Chapter 9: Enhancing Productivity and Development Simplification 14. Index 15. Other Books You May Enjoy

Building an event-driven application with Spring Boot messaging

Crafting an event-driven application using Spring Boot involves building a system that’s responsive, scalable, and equipped to handle the complexities of modern software requirements. Essentially, an event-driven application responds to events, ranging from user interactions to messages from external systems. This methodology enables components of your application to interact and operate independently, enhancing flexibility and efficiency. With Spring Boot, setting up such an application is made easier due to its philosophy of convention over configuration and the array of tools it provides from the start.

Throughout this journey, we will take a hands-on approach by introducing two Spring Boot projects—one will focus on generating events while the other will concentrate on consuming them. This segregation mirrors real-life scenarios where producers and consumers are often located in systems or microservices...

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