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.
Purchase of the print book includes a free eBook in PDF, Kindle, and
ePub formats from Manning Publications.
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
- Enterprise Java microservices
- Developing a simple RESTful microservice
- Just enough Application Server for microservices
- Microservices testing
- Cloud native development
- Consuming microservices
- Discovering microservices for consumption
- Strategies for fault tolerance and monitoring
- Securing a microservice
- Architecting a microservice hybrid
- Data streaming with Apache Kafka
