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Embracing Microservices Design

You're reading from   Embracing Microservices Design A practical guide to revealing anti-patterns and architectural pitfalls to avoid microservices fallacies

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781801818384
Length 306 pages
Edition 1st Edition
Concepts
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Authors (3):
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Ovais Mehboob Ahmed Khan Ovais Mehboob Ahmed Khan
Author Profile Icon Ovais Mehboob Ahmed Khan
Ovais Mehboob Ahmed Khan
Timothy Oleson Timothy Oleson
Author Profile Icon Timothy Oleson
Timothy Oleson
Nabil Siddiqui Nabil Siddiqui
Author Profile Icon Nabil Siddiqui
Nabil Siddiqui
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Table of Contents (16) Chapters Close

Preface 1. Section 1: Overview of Microservices, Design, and Architecture Pitfalls
2. Chapter 1: Setting Up Your Mindset for a Microservices Endeavor FREE CHAPTER 3. Chapter 2: Failing to Understand the Role of DDD 4. Chapter 3: Microservices Architecture Pitfalls 5. Chapter 4: Keeping the Replatforming Brownfield Applications Trivial 6. Section 2: Overview of Data Design Pitfalls, Communication, and Cross-Cutting Concerns
7. Chapter 5: Data Design Pitfalls 8. Chapter 6: Communication Pitfalls and Prevention 9. Chapter 7: Cross-Cutting Concerns 10. Section 3: Testing Pitfalls and Evaluating Microservices Architecture
11. Chapter 8: Deployment Pitfalls 12. Chapter 9: Skipping Testing 13. Chapter 10: Evaluating Microservices Architecture 14. Assessments 15. Other Books You May Enjoy

Understanding the CQRS principle

In this section, we will learn about CQRS, the different types of CQRS, and why we might want to consider this pattern. CQRS was introduced by Greg Young in 2010. It is based on the command-query separation (CQS) principle that was introduced by Bertrand Meyer, in 1988. In this scenario, we separate the responsibilities of querying or retrieving data from commands, which results in a change in state or mutates our data. The CQRS principle takes the concept of CQS and builds on it, adding more details and capabilities such as having a separate database for reads and writes. This can add complexity but has provided some useful capabilities such as persisting events known as event sourcing. We can play these events back to give us a very detailed audit trail or history of the state of our data: when it changed, who changed it, and why.

Types of CQRS

As mentioned earlier, CQRS was built on the principles of CQS. Additionally, we mentioned CQRS has...

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