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Modern API Development with Spring and Spring Boot

You're reading from   Modern API Development with Spring and Spring Boot Design highly scalable and maintainable APIs with REST, gRPC, GraphQL, and the reactive paradigm

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Product type Paperback
Published in Jun 2021
Publisher Packt
ISBN-13 9781800562479
Length 582 pages
Edition 1st 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. Section 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. Section 2: Security, UI, Testing, and Deployment
8. Chapter 6: Security (Authorization and Authentication) 9. Chapter 7: Designing a User Interface 10. Chapter 8: Testing APIs 11. Chapter 9: Deployment of Web Services 12. Section 3: gRPC, Logging, and Monitoring
13. Chapter 10: gRPC Fundamentals 14. Chapter 11: gRPC-based API Development and Testing 15. Chapter 12: Logging and Tracing 16. Section 4: GraphQL
17. Chapter 13: GraphQL Fundamentals 18. Chapter 14: GraphQL API Development and Testing 19. Assessments 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 for serving requests – it assigns a thread to each incoming request. The application uses the thread pool for database connections. 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 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-class...

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