Book Image

Modern API Development with Spring and Spring Boot

By : Sourabh Sharma
Book Image

Modern API Development with Spring and Spring Boot

By: Sourabh Sharma

Overview of this book

The philosophy of API development has evolved over the years to serve the modern needs of enterprise architecture, and developers need to know how to adapt to these modern API design principles. Apps are now developed with APIs that enable ease of integration for the cloud environment and distributed systems. With this Spring book, you'll discover various kinds of production-ready API implementation using REST APIs and explore async using the reactive paradigm, gRPC, and GraphQL. You'll learn how to design evolving REST-based APIs supported by HATEOAS and ETAGs and develop reactive, async, non-blocking APIs. After that, you'll see how to secure REST APIs using Spring Security and find out how the APIs that you develop are consumed by the app's UI. The book then takes you through the process of testing, deploying, logging, and monitoring your APIs. You'll also explore API development using gRPC and GraphQL and design modern scalable architecture with microservices. The book helps you gain practical knowledge of modern API implementation using a sample e-commerce app. By the end of this Spring book, you'll be able to develop, test, and deploy highly scalable, maintainable, and developer-friendly APIs to help your customers to transform their business.
Table of Contents (21 chapters)
1
Section 1: RESTful Web Services
7
Section 2: Security, UI, Testing, and Deployment
12
Section 3: gRPC, Logging, and Monitoring
16
Section 4: GraphQL

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...