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

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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 cloud-native applications to Kubernetes

Kubernetes started as a project in Google to allow them to manage software at scale. It has since moved to become an open source project managed by the Cloud Native Computing Foundation (CNCF) and has contributors from all over the industry. Every major (and most minor) public cloud provider uses Kubernetes to manage the deployment of containers. There are also private cloud products such as Red Hat OpenShift that provide a distribution of Kubernetes for deployment either on-premises or on a public cloud but dedicated to a single company.

A Kubernetes deployment is known as a cluster. To run containers and provide a highly available, scalable environment a cluster consists of a control plane and a set of key resources that provide it with the ability to run or manage containers, scale them, and keep the containers running in the event of any failures. When running a container in Kubernetes, the container is placed in a Pod, which...