Book Image

Spring 5 Design Patterns

By : Dinesh Rajput
Book Image

Spring 5 Design Patterns

By: Dinesh Rajput

Overview of this book

Design patterns help speed up the development process by offering well tested and proven solutions to common problems. These patterns coupled with the Spring framework offer tremendous improvements in the development process. The book begins with an overview of Spring Framework 5.0 and design patterns. You will understand the Dependency Injection pattern, which is the main principle behind the decoupling process that Spring performs, thus making it easier to manage your code. You will learn how GoF patterns can be used in Application Design. You will then learn to use Proxy patterns in Aspect Oriented Programming and remoting. Moving on, you will understand the JDBC template patterns and their use in abstracting database access. Then, you will be introduced to MVC patterns to build Reactive web applications. Finally, you will move on to more advanced topics such as Reactive streams and Concurrency. At the end of this book, you will be well equipped to develop efficient enterprise applications using Spring 5 with common design patterns
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface

Understanding the reactive pattern


Today, the modern applications must be more robust, more resilient, more flexible, and better positioned to meet the requirements of the organizations, because, in the recent couple of years, the requirements for applications have changed dramatically. As we have seen in the last table, 10 to 15 years ago, a large application had 10 server nodes, the response time taken to serve a request was in seconds, we required a couple of hours of downtime for maintenance and deployment, and the data was in gigabytes. But today, an application requires thousands of server nodes, because it is accessed by multiple channels such as mobile devices. The server responses are expected within milliseconds, and the downtime for deployment and maintenance is near to 0%. Data has been increased from terabytes to petabytes.

Ten-year old systems cannot fulfill the requirements of today's applications; we need a system that can fulfill all user's requirements either at the application...