Book Image

Spring Microservices

By : Rajesh R V
Book Image

Spring Microservices

By: Rajesh R V

Overview of this book

The Spring Framework is an application framework and inversion of the control container for the Java platform. The framework's core features can be used by any Java application, but there are extensions to build web applications on top of the Java EE platform. This book will help you implement the microservice architecture in Spring Framework, Spring Boot, and Spring Cloud. Written to the latest specifications of Spring, you'll be able to build modern, Internet-scale Java applications in no time. We would start off with the guidelines to implement responsive microservices at scale. We will then deep dive into Spring Boot, Spring Cloud, Docker, Mesos, and Marathon. Next you will understand how Spring Boot is used to deploy autonomous services, server-less by removing the need to have a heavy-weight application server. Later you will learn how to go further by deploying your microservices to Docker and manage it with Mesos. By the end of the book, you'll will gain more clarity on how to implement microservices using Spring Framework and use them in Internet-scale deployments through real-world examples.
Table of Contents (18 chapters)
Spring Microservices
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
Index

The missing pieces


In Chapter 8, Containerizing Microservices with Docker, we discussed how to dockerize BrownField Airline's PSS microservices. Docker helped package the JVM runtime and OS parameters along with the application so that there is no special consideration required when moving dockerized microservices from one environment to another. The REST APIs provided by Docker have simplified the life cycle manager's interaction with the target machine in starting and stopping artifacts.

In a large-scale deployment, with hundreds and thousands of Docker containers, we need to ensure that Docker containers run with their own resource constraints, such as memory, CPU, and so on. In addition to this, there may be rules set for Docker deployments, such as replicated copies of the container should not be run on the same machine. Also, a mechanism needs to be in place to optimally use the server infrastructure to avoid incurring extra cost.

There are organizations that deal with billions of containers...