Book Image

Java EE 8 Design Patterns and Best Practices

By : Rhuan Rocha, Joao Carlos Purificação
Book Image

Java EE 8 Design Patterns and Best Practices

By: Rhuan Rocha, Joao Carlos Purificação

Overview of this book

Patterns are essential design tools for Java developers. Java EE Design Patterns and Best Practices helps developers attain better code quality and progress to higher levels of architectural creativity by examining the purpose of each available pattern and demonstrating its implementation with various code examples. This book will take you through a number of patterns and their Java EE-specific implementations. In the beginning, you will learn the foundation for, and importance of, design patterns in Java EE, and then will move on to implement various patterns on the presentation tier, business tier, and integration tier. Further, you will explore the patterns involved in Aspect-Oriented Programming (AOP) and take a closer look at reactive patterns. Moving on, you will be introduced to modern architectural patterns involved in composing microservices and cloud-native applications. You will get acquainted with security patterns and operational patterns involved in scaling and monitoring, along with some patterns involved in deployment. By the end of the book, you will be able to efficiently address common problems faced when developing applications and will be comfortable working on scalable and maintainable projects of any size.
Table of Contents (20 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
5
Aspect-Oriented Programming and Design Patterns
Index

Explaining the concept of A/B testing


We may sometimes update something in our application and want to check its impact on end users and their behavior. Generally, these kinds of updates relate to the usability or popularity of an application and are associated with UI changes. To allow us to check the impact of an update on an application, we need to create groups of end users, who will be thrown the new updates and asked to evaluate them. The deployment patterns we've already discussed don't solve this problem for us as they're unable to throw a new version of the application to a separate group of end users. Although they allow us to test the functionality of the application in a separated group, that group doesn't persist for very long.

A/B testing, however, is a deployment pattern that allows us to throw a new version of an application to a selected group of end users only. This makes it possible to evaluate the impact of a new version of an application on end users and therefore decide...