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Domain-Driven Refactoring

You're reading from   Domain-Driven Refactoring A hands-on DDD guide to transforming monoliths into modular systems and microservices

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Product type Paperback
Published in May 2025
Publisher Packt
ISBN-13 9781835889107
Length 324 pages
Edition 1st Edition
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Authors (2):
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Alessandro Colla Alessandro Colla
Author Profile Icon Alessandro Colla
Alessandro Colla
Alberto Acerbis Alberto Acerbis
Author Profile Icon Alberto Acerbis
Alberto Acerbis
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Why Use Domain-Driven Design to Tackle Complexity?
2. Evolution of Domain-Driven Design FREE CHAPTER 3. Understanding Complexity: Problem and Solution Space 4. Strategic Patterns 5. Tactical Patterns 6. Part 2: Refactoring Legacy Systems
7. Introducing Refactoring Principles 8. Transitioning from Chaos 9. Integrating Events with CQRS 10. Refactoring the Database 11. DDD Patterns for Continuous Integration and Continuous Refactoring 12. Part 3: Moving from Monolith to Microservices
13. When and Why You Should Transition to a Microservices Architecture 14. Dealing with Events and Their Evolution 15. Orchestrating Complexity: Advanced Approaches to Business Processes 16. Other Books You May Enjoy
17. Index

Refactoring the Database

In the previous chapters, we explored how to use CQRS and event sourcing to break apart a monolithic application, allowing services to align with specific bounded contexts in a microservices architecture. However, while separating application logic is a crucial step, the database itself often remains a bottleneck, tightly coupled and shared across services. For a true transition to microservices, database refactoring is essential to ensure that each service has control over its own data and operates independently.

In this chapter, you’ll learn about the primary patterns for database refactoring, each addressing different strategies for managing and partitioning database tables to support service-specific ownership. We are going to cover how to do the following:

  • Clearly identify and align domain boundaries to support independent service evolution
  • Apply common table ownership strategies to manage data shared across multiple services...
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