Book Image

Domain-Driven Design with Golang

By : Matthew Boyle
4 (2)
Book Image

Domain-Driven Design with Golang

4 (2)
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)
Part 1: Introduction to Domain-Driven Design
Part 2: Real -World Domain-Driven Design with Golang

Dealing with failure

Earlier in this chapter, we discussed the CAP theorem and the concept of having to choose which compromises in our system to make. Alongside this, we must expect that our distributed system will fail due to both factors outside of our control and edge-case failure modes that we accept can happen from time to time, but we accept that risk in favor of delivery speed. Next, we will discuss some patterns we can put in place to mitigate some of these failures.

Two-phase commit (2PC)

As we discussed earlier, consistency is equally (if not more so) important in a distributed system as it is in a monolithic architecture. However, it is near impossible to create distributed transactions and commit atomically. One approach to solve this is to split our work into two phases:

  • Preparation phase: We ask each of our sub-systems if it can promise to do the workload we want to complete.
  • Completion phase: Tell each sub-system to do the work it just promised to...