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Software Architecture with Spring

You're reading from   Software Architecture with Spring Design scalable and high-performance Java applications with Spring

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Product type Paperback
Published in Jun 2025
Publisher Packt
ISBN-13 9781835880609
Length 464 pages
Edition 1st Edition
Languages
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Author (1):
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Wanderson Xesquevixos Wanderson Xesquevixos
Author Profile Icon Wanderson Xesquevixos
Wanderson Xesquevixos
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Table of Contents (21) Chapters Close

Preface 1. Part 1:Foundations of Software Architecture
2. Chapter 1: Diving into Software Architecture FREE CHAPTER 3. Chapter 2: Decision-Making Processes in Software Architecture 4. Chapter 3: Understanding the System Context 5. Part 2: Exploring Architectural Styles
6. Chapter 4: Monolithic Architecture 7. Chapter 5: Client-Server Architecture 8. Chapter 6: Microservices Architecture 9. Chapter 7: Microservices Patterns with Spring Cloud 10. Chapter 8: Event-Driven Architecture 11. Chapter 9: Pipe-and-Filter and Serverless Architecture 12. Part 3: Advanced Topics in Modern Software Development
13. Chapter 10: Security 14. Chapter 11: Observability 15. Chapter 12: Testing 16. Chapter 13: Performance and Optimizations 17. Chapter 14: Orchestration with Kubernetes 18. Chapter 15: Continuous Integration and Continuous Deployment 19. Index 20. Other Books You May Enjoy

Introducing reactive programming with WebFlux

Reactive programming is a paradigm designed to handle asynchronous data streams focusing on non-blocking, event-driven systems. Unlike traditional imperative programming models, reactive programming allows systems to react to changes in data or events in real time, making it especially suitable for modern applications that demand high performance and scalability.

Why reactive programming?

Traditionally, web servers handle requests using a thread pool, where each thread is dedicated to a single request. For instance, if a server has three threads, it can process three requests simultaneously, while a fourth request must wait until one of the threads becomes available. However, this model can lead to inefficiencies, as threads may remain idle while waiting for external operations, such as database responses. This idle time consumes memory and CPU resources without accomplishing meaningful work, which can create resource limitations...

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