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 goals of the cloud-native application


Cloud design patterns aim to build secure, reliable applications available in the cloud. The following list will show these and other characteristics to be achieved by a cloud-native application:

  • Availability: The time the application is up and running. What is desired is a non-stop operation of all the system's functionalities.
  • Data management: Data handled by an application is the building block of a cloud application. Data can be distributed or replicated across many servers (or clusters) to achieve scalability, availability, or even performance.
  • Messaging: To increase scalability, services or applications in the cloud have low coupling and often communicate using asynchronous messaging. 
  • Management and monitoring: Because cloud applications run in remote environments, there must be a way to monitor non-functional property states—such as the use of computing resources—through logs and reports. Also, we must be able to deploy new implementations...