Название: Pro Java Microservices with Quarkus and Kubernetes: A Hands-on Guide
Автор: Nebrass Lamouchi
Издательство: Apress
Год: 2021
Страниц: 413
Язык: английский
Формат: pdf (true), epub
Размер: 23.5 MB

Build and design microservices using Java and the Red Hat Quarkus Framework. This book will help you quickly get started with the features and concerns of a microservices architecture. It will introduce Docker and Kubernetes to help you deploy your microservices.

Traditionally, Java developers are used to developing large, complex, monolithic applications. The process of developing and deploying monoliths has always been slow and painful. This book will help Java developers quickly get started with the features and concerns of the microservices architecture. It will introduce Docker and Kubernetes for the deployment in the cloud.

This book is aimed at Java developers who want to build microservices using the new stack and who want to deploy them to Kubernetes.
You will be guided on how to install the appropriate tools, and for those who are new to enterprise development using Quarkus, you will be introduced to its core principles and main features through a deep step-by-step tutorial of its many components. For those who have prior experience using Quarkus for enterprise development, this book offers some recipes that illustrate how to split monoliths and implement microservices and deploy them as containers to Kubernetes.

Here are some of the key challenges that I address in this book:

• Introducing containerization with Docker

• Introducing Quarkus for beginners

• Implementing a sample monolithic application

• Splitting a monolith using the domain driven design (DDD) approach

• Implementing the cloud patterns

• Rethinking the deployment process

• Introducing the Kubernetes world

• Introducing best practices and the recommended patterns while creating cloud-native applications

By the end of this book, you will have practical hands-on experience building microservices using Quarkus and you will be able to deploy them as containers to Kubernetes.