Book Image

Domain-Driven Design with Golang

By : Matthew Boyle
5 (1)
Book Image

Domain-Driven Design with Golang

5 (1)
By: Matthew Boyle

Overview of this book

Domain-driven design (DDD) is one of the most sought-after skills in the industry. This book provides you with step-by-step explanations of essential concepts and practical examples that will see you introducing DDD in your Go projects in no time. Domain-Driven Design with Golang starts by helping you gain a basic understanding of DDD, and then covers all the important patterns, such as bounded context, ubiquitous language, and aggregates. The latter half of the book deals with the real-world implementation of DDD patterns and teaches you how to build two systems while applying DDD principles, which will be a valuable addition to your portfolio. Finally, you’ll find out how to build a microservice, along with learning how DDD-based microservices can be part of a greater distributed system. Although the focus of this book is Golang, by the end of this book you’ll be able to confidently use DDD patterns outside of Go and apply them to other languages and even distributed systems.
Table of Contents (13 chapters)
1
Part 1: Introduction to Domain-Driven Design
6
Part 2: Real -World Domain-Driven Design with Golang

What is a distributed system?

A distributed system is characterized as various computing components that are spread out over a network. These devices will coordinate to complete tasks that are more efficient/not possible if a single computer were to try to achieve them. Here’s a visual example of a distributed system:

Figure 7.1 – An example of a distributed system

Distributed systems have grown in complexity over the years, but paradoxically there has never been a better time to build and run one. Due to cloud companies such as Amazon Web Services (AWS), Cloudflare, and DigitalOcean, getting started with complex systems is available to anyone for free where there used to be a very high barrier to entry.

A distributed system usually has the following characteristics:

  • Scalable: The system can grow as workloads increase. For example, if your customers are heavily based in the United States, you may see large traffic between 9 A.M. and...