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

Product type Paperback

Published in Sep 2021

Publisher Packt

ISBN-13 9781801078801

Length 404 pages

Edition 1st Edition

Languages

Java

Tools

Microprofile

Concepts

Cloud Native

Authors (5):

Alasdair Nottingham

John Alcorn

David Chan

Emily Jiang

Andrew McCright

+1 more

View More author details

Table of Contents (18) Chapters

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

Chapter 3: Introducing the IBM Stock Trader Cloud-Native Application

Throughout this book, we'll be using an example application known as IBM Stock Trader to demonstrate various concepts and techniques. This open source example is intended to show people how to develop, deploy, and use a typical cloud-native application that is composed of various microservices and leverages various external services such as databases, messaging systems, and internet services. All microservices are containerized and deployed (via an operator) to a Kubernetes cluster such as the OpenShift Container Platform.

As the name implies, the IBM Stock Trader example exists in the financial domain, simulating a brokerage application that tracks the stocks each customer has purchased in their portfolio. While it doesn't actually buy or sell anything, it does look up current actual prices of specified stocks and computes an overall portfolio value that maps to a customer loyalty level. It also simulates...