Book Image

Domain-Driven Design with Java - A Practitioner’s Guide

By : Premanand Chandrasekaran, Karthik Krishnan
Book Image

Domain-Driven Design with Java - A Practitioner’s Guide

By: Premanand Chandrasekaran, Karthik Krishnan

Overview of this book

Domain-Driven Design (DDD) makes available a set of techniques and patterns that enable domain experts, architects, and developers to work together to decompose complex business problems into a set of well-factored, collaborating, and loosely coupled subsystems. This practical guide will help you as a developer and architect to put your knowledge to work in order to create elegant software designs that are enjoyable to work with and easy to reason about. You'll begin with an introduction to the concepts of domain-driven design and discover various ways to apply them in real-world scenarios. You'll also appreciate how DDD is extremely relevant when creating cloud native solutions that employ modern techniques such as event-driven microservices and fine-grained architectures. As you advance through the chapters, you'll get acquainted with core DDD’s strategic design concepts such as the ubiquitous language, context maps, bounded contexts, and tactical design elements like aggregates and domain models and events. You'll understand how to apply modern, lightweight modeling techniques such as business value canvas, Wardley mapping, domain storytelling, and event storming, while also learning how to test-drive the system to create solutions that exhibit high degrees of internal quality. By the end of this software design book, you'll be able to architect, design, and implement robust, resilient, and performant distributed software solutions.
Table of Contents (17 chapters)
1
Part 1: Foundations
4
Part 2: Real-World DDD
12
Part 3: Evolution Patterns

Implementing the UI

When working with user interfaces, it is fairly customary to use one of these presentation patterns:

  • Model View Controller (MVC)
  • Model View Presenter (MVP)
  • Model View View Model (MVVM)

The MVC pattern has been around for the longest time. The idea of separating concerns among collaborating model, view, and controller objects is a sound one. However, beyond the definition of these objects, actual implementations seem to vary wildly – with the controller becoming overly complex in a lot of cases. In contrast, MVP and MVVM, while being derivatives of MVC, seem to bring about a better separation of concerns between the collaborating objects. MVVM, in particular when coupled with data-binding constructs, makes for code that is much more readable, maintainable, and testable. In this book, we make use of MVVM because it enables test-driven development, which is a strong personal preference for us. Let’s look at a quick MVVM primer,...