Practical Cloud-Native Java Development with MicroProfile: Develop and deploy scalable, resilient, and reactive cloud-native applications using MicroProfile 4.1 by Emily Jiang, David Chan, Eric Herness, Alasdair Nottingham, John Alcorn, Andrew McCright (Paperback, 2021)

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Practical Cloud-Native Java Development With MicroProfile Develop Cloud-Native Java Applications Usi by Emily Jiang, Andrew McCright, John Alcorn, David Chan, Alasdair Nottingham 9781801078801 (Paperback, 2021) Delivery UK delivery is usually within 10 to 12 working days. International delivery varies by country, please see the Wordery store help page for details.

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Written by leading MicroProfile experts, this book provides you with best practices for building enterprise-grade cloud-native applications using MicroProfile 4.1 and running them on Open Liberty with Docker, Kubernetes, and Istio Key Features Apply your knowledge of MicroProfile APIs to develop cloud-native applications Use MicroProfile Health to provide the startup, liveness, and readiness status of your enterprise application Build an end-to-end stock trader project and containerize it to deploy to the cloud with Istio interaction Book DescriptionIn 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. What you will learn Understand best practices for applying the 12-Factor methodology while building cloud-native applications Create client-server architecture using MicroProfile Rest Client and JAX-RS Configure your cloud-native application using MicroProfile Config Secure your cloud-native application with MicroProfile JWT Become well-versed with running your cloud-native applications in Open Liberty Grasp MicroProfile Open Tracing and learn how to use Jaeger to view trace spans Deploy Docker containers to Kubernetes and understand how to use ConfigMap and Secrets from Kubernetes Who this book is forThis book is for Java application developers and architects looking to build efficient applications using an open standard framework that performs well in the cloud. DevOps engineers who want to understand how cloud-native applications work will also find this book useful. A basic understanding of Java, Docker, Kubernetes, and cloud is needed to get the most out of this book.

Product Identifiers

PublisherPackt Publishing
ISBN-139781801078801
eBay Product ID (ePID)28049058548

Product Key Features

Publication Year2021
SubjectEngineering & Technology
Number of Pages404 Pages
LanguageEnglish
Publication NamePractical Cloud-Native Java Development with MicroProfile: Develop and deploy scalable, resilient, and reactive cloud-native applications using MicroProfile 4.1
TypeTextbook
AuthorEmily Jiang, David Chan, Eric Herness, Alasdair Nottingham, John Alcorn, Andrew Mccright
FormatPaperback

Dimensions

Item Height93 mm
Item Width75 mm

Additional Product Features

Country/Region of ManufactureUnited Kingdom
Title_AuthorJohn Alcorn, Emily Jiang, Eric Herness, Alasdair Nottingham, David Chan, Andrew Mccright

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