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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

Summary

Let’s review what we have learned in this chapter and then look forward to the things that we’ll cover next. Here’s what we learned:

  • DDD: A strategy to ensure that our software development work aligns properly with the specific requirements of a business. This method guides us to create software that really serves its intended purpose.
  • CQRS: We learned to manage data effectively, separating the operations that change data (commands) from those that retrieve them (queries). This separation aims to empower the performance and reliability of our systems, making them more feasible in terms of their actual use case scenarios.
  • Event Sourcing: This pattern involves the logging of every change in the system as an event. It particularly shines when you are tracking changes over time and is a fundamental building block for systems where understanding the history of decisions and actions throughout their lifetime is core to their operation.
  • Benefits...
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