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Practical Cloud-Native Java Development with MicroProfile

You're reading from   Practical Cloud-Native Java Development with MicroProfile Develop and deploy scalable, resilient, and reactive cloud-native applications using MicroProfile 4.1

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Product type Paperback
Published in Sep 2021
Publisher Packt
ISBN-13 9781801078801
Length 404 pages
Edition 1st Edition
Languages
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Authors (5):
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Alasdair Nottingham Alasdair Nottingham
Author Profile Icon Alasdair Nottingham
Alasdair Nottingham
John Alcorn John Alcorn
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John Alcorn
David Chan David Chan
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David Chan
Emily Jiang Emily Jiang
Author Profile Icon Emily Jiang
Emily Jiang
Andrew McCright Andrew McCright
Author Profile Icon Andrew McCright
Andrew McCright
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Cloud-Native Applications
2. Chapter 1: Cloud-Native Applications FREE CHAPTER 3. Chapter 2: How Does MicroProfile Fit into Cloud-Native Application Development? 4. Chapter 3: Introducing the IBM Stock Trader Cloud-Native Application 5. Section 2: MicroProfile 4.1 Deep Dive
6. Chapter 4: Developing Cloud-Native Applications 7. Chapter 5: Enhancing Cloud-Native Applications 8. Chapter 6: Observing and Monitoring Cloud-Native Applications 9. Chapter 7: MicroProfile Ecosystem with Open Liberty, Docker, and Kubernetes 10. Section 3: End-to-End Project Using MicroProfile
11. Chapter 8: Building and Testing Your Cloud-Native Application 12. Chapter 9: Deployment and Day 2 Operations 13. Section 4: MicroProfile Standalone Specifications and the Future
14. Chapter 10: Reactive Cloud-Native Applications 15. Chapter 11: MicroProfile GraphQL 16. Chapter 12: MicroProfile LRA and the Future of MicroProfile 17. Other Books You May Enjoy

Summary

In this chapter, we've learned about GraphQL and how it addresses some of the gaps in REST. We've also learned how to create and consume GraphQL services using MP GraphQL, without the overhead of maintaining a schema in addition to Java code. We've learned that we can build queries and mutations by applying annotations to our API classes and that we can enrich them by adding descriptions, parameters, formatting, and more. By outsourcing, we've learned that we can avoid executing expensive operations when they are not necessary. We've also learned how to send partial results when exceptions occur. We've learned that there are some useful tools such as GraphiQL that can simplify testing. And while the client APIs aren't fully supported from the specification, we've been able to view two different clients, and we've seen how we could use them for integration testing or to consume GraphQL services.

With what we've learned in...

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