Book Image

Practical Cloud-Native Java Development with MicroProfile

By : Emily Jiang, Andrew McCright, John Alcorn, David Chan, Alasdair Nottingham
Book Image

Practical Cloud-Native Java Development with MicroProfile

By: Emily Jiang, Andrew McCright, John Alcorn, David Chan, Alasdair Nottingham

Overview of this book

In this cloud-native era, most applications are deployed in a cloud environment that is public, private, or a combination of both. To ensure that your application performs well in the cloud, you need to build an application that is cloud native. MicroProfile is one of the most popular frameworks for building cloud-native applications, and fits well with Kubernetes. As an open standard technology, MicroProfile helps improve application portability across all of MicroProfile's implementations. Practical Cloud-Native Java Development with MicroProfile is a comprehensive guide that helps you explore the advanced features and use cases of a variety of Jakarta and MicroProfile specifications. You'll start by learning how to develop a real-world stock trader application, and then move on to enhancing the application and adding day-2 operation considerations. You'll gradually advance to packaging and deploying the application. The book demonstrates the complete process of development through to deployment and concludes by showing you how to monitor the application's performance in the cloud. By the end of this book, you will master MicroProfile's latest features and be able to build fast and efficient cloud-native applications.
Table of Contents (18 chapters)
Section 1: Cloud-Native Applications
Section 2: MicroProfile 4.1 Deep Dive
Section 3: End-to-End Project Using MicroProfile
Section 4: MicroProfile Standalone Specifications and the Future

Chapter 11: MicroProfile GraphQL

GraphQL is a distributed query language that addresses some of the shortcomings of REpresentational State Transfer (REST). In particular, GraphQL addresses the notions of over-fetching (receiving more data than the client intended) and under-fetching (requiring the client to make multiple requests to get the data it requires). GraphQL applications make use of a schema file that presents clients with the queries and mutations at its disposal, as well as the entities it can access and manipulate.

The ease of use and robustness of GraphQL explains why its popularity is growing, especially in cloud-native applications. MicroProfile GraphQL (MP GraphQL) makes it easy to create GraphQL-based applications.

In this chapter, we're going to cover the following main topics:

  • Understanding GraphQL basics and when to use it
  • Building services with MP GraphQL
  • Consuming GraphQL services with client application programming interfaces (APIs...