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Modern API Development with Spring 6 and Spring Boot 3

You're reading from   Modern API Development with Spring 6 and Spring Boot 3 Design scalable, viable, and reactive APIs with REST, gRPC, and GraphQL using Java 17 and Spring Boot 3

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781804613276
Length 494 pages
Edition 2nd Edition
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Author (1):
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Sourabh Sharma Sourabh Sharma
Author Profile Icon Sourabh Sharma
Sourabh Sharma
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Table of Contents (21) Chapters Close

Preface 1. Part 1 – RESTful Web Services
2. Chapter 1: RESTful Web Service Fundamentals FREE CHAPTER 3. Chapter 2: Spring Concepts and REST APIs 4. Chapter 3: API Specifications and Implementation 5. Chapter 4: Writing Business Logic for APIs 6. Chapter 5: Asynchronous API Design 7. Part 2 – Security, UI, Testing, and Deployment
8. Chapter 6: Securing REST Endpoints Using Authorization and Authentication 9. Chapter 7: Designing a User Interface 10. Chapter 8: Testing APIs 11. Chapter 9: Deployment of Web Services 12. Part 3 – gRPC, Logging, and Monitoring
13. Chapter 10: Getting Started with gRPC 14. Chapter 11: gRPC API Development and Testing 15. Chapter 12: Adding Logging and Tracing to Services 16. Part 4 – GraphQL
17. Chapter 13: Getting Started with GraphQL 18. Chapter 14: GraphQL API Development and Testing 19. Index 20. Other Books You May Enjoy

Understanding Reactive Streams

Normal Java code achieves asynchronicity by using thread pools. Your web server uses a thread pool to serve requests – it assigns a thread to each incoming request. The application uses the thread pool for database connections too. Each database call uses a separate thread and waits for the result. Therefore, each web request and database call uses its own thread. However, there is a wait associated with this and, therefore, these are blocking calls. The thread waits and utilizes the resources until a response is received back from the database or a response object is written. This is kind of a limitation when you scale as you can only use the resources available to the JVM. You overcome this limitation by using a load balancer with other instances of the service, which is a type of horizontal scaling.

In the last decade, there has been a rise in client-server architecture. Lots of IoT-enabled devices, smartphones that have native apps, first...

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