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

Containerizing cloud-native applications using Docker

In this section, we will look at how to containerize a MicroProfile application. There are two key parts to containerizing anything: the first is the creation of an image, and the second is running that image. While Docker was not the first product to do containerization, it did popularize it in a way that developers and operators could understand. Cloud Foundry was a common early alternative that had similar concepts but hid them as internal implementation details rather than making them first-class concepts. With Docker, these two concepts were broken into two parts, exposed by the docker build command used to create the image, and the docker run command used to run the image. These concepts were further expanded to become standardized, meaning there are now multiple alternatives to docker build and docker run.

The container image

A container image is the container deployment artifact. A container image contains everything...