
| Друк | чорно-білий |
|---|---|
| Язык | English |
| Обложка | Мягкая |
| Папір | білий, офсет |
| Рік | 2018 |
| Состояние | нова книга |
| Сторінок | 272 |
Summary
Enterprise Java Microservices
is an example-rich tutorial that shows how to design and manage large-scale Java applications as a collection of microservices.
About the Technology
Large applications are easier to develop and maintain when you build them from small, simple components. Java developers now enjoy a wide range of tools that support microservices application development, including right-sized app servers, open source frameworks, and well-defined patterns. Best of all, you can build microservices applications using your existing Java skills.
About the Book
Enterprise Java Microservices
teaches you to design and build JVM-based microservices applications. You'll start by learning how microservices designs compare to traditional Java EE applications. Always practical, author Ken Finnigan introduces big-picture concepts along with the tools and techniques you'll need to implement them. You'll discover ecosystem components like Netflix Hystrix for fault tolerance and master the Just enough Application Server (JeAS) approach. To ensure smooth operations, you'll also examine monitoring, security, testing, and deploying to the cloud.
What's inside
The microservices mental model
Cloud-native development
Strategies for fault tolerance and monitoring
Securing your finished applications
About the Reader
This book is for Java developers familiar with Java EE.
About the Author
Ken Finnigan
leads the Thorntail project at Red Hat, which seeks to make developing microservices for the cloud with Java and Java EE as easy as possible.
Table of Contents
PART 1 MICROSERVICES BASICS
Enterprise Java microservices
Developing a simple RESTful microservice
Just enough Application Server for microservices
Microservices testing
Cloud native development
PART 2 - IMPLEMENTING ENTERPRISE JAVA MICROSERVICES
Consuming microservices
Discovering microservices for consumption
Strategies for fault tolerance and monitoring
Securing a microservice
Architecting a microservice hybrid
Data streaming with Apache Kafka
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