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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

Transitioning to the new architecture and ensuring performance

Now that we have made the first attempt to divide the database into smaller ones more aligned with our modules (or bounded contexts), we should start thinking about the various performance considerations involved during the transition from a monolithic database into a modular architecture, especially in distributed systems where asynchronous communication and eventual consistency are implemented. The challenge lies in optimizing performance while ensuring that the system’s data remains consistent, particularly in scenarios where certain services are loosely coupled and rely on asynchronous operations for updates. Let’s break down the steps involved in analyzing performance bottlenecks and implementing optimizations with the SalesOrder and Warehouse services.

We can summarize the potential performance bottlenecks as follows:

  • Network latency: Direct service-to-service calls across the network...
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