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

Deploying the application via the CLI

Sometimes you need to do things via an approach other than using a graphical user interface. Maybe you just prefer using a CLI. Or, perhaps you want to automate such work as steps in a Continuous Integration / Continuous Deployment (CI / CD) pipeline. Or, maybe you are using a Kubernetes distribution other than Red Hat OpenShift Container Platform (OCP), such as from one of the hyperscalers, such as Amazon Web Services (AWS) or Microsoft Azure. To deploy the application without the benefit of the OpenShift console, follow these steps:

The first thing you'll need to do is to make sure that the Operator Lifecycle Manager (OLM) feature is installed in your Kubernetes cluster. This can be done via the operator-sdk (which you can install on your Mac via brew install operator-sdk) by following the instructions at https://olm.operatorframework.io/docs/getting-started/.
Note
operator-sdk is used to produce an operator such as the one for the...