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Software Architecture with C# 9 and .NET 5

You're reading from   Software Architecture with C# 9 and .NET 5 Architecting software solutions using microservices, DevOps, and design patterns for Azure

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Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781800566040
Length 700 pages
Edition 2nd Edition
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Authors (2):
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Gabriel Baptista Gabriel Baptista
Author Profile Icon Gabriel Baptista
Gabriel Baptista
Francesco Abbruzzese Francesco Abbruzzese
Author Profile Icon Francesco Abbruzzese
Francesco Abbruzzese
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Table of Contents (26) Chapters Close

Preface 1. Understanding the Importance of Software Architecture 2. Non-Functional Requirements FREE CHAPTER 3. Documenting Requirements with Azure DevOps 4. Deciding the Best Cloud-Based Solution 5. Applying a Microservice Architecture to Your Enterprise Application 6. Azure Service Fabric 7. Azure Kubernetes Service 8. Interacting with Data in C# – Entity Framework Core 9. How to Choose Your Data Storage in the Cloud 10. Working with Azure Functions 11. Design Patterns and .NET 5 Implementation 12. Understanding the Different Domains in Software Solutions 13. Implementing Code Reusability in C# 9 14. Applying Service-Oriented Architectures with .NET Core 15. Presenting ASP.NET Core MVC 16. Blazor WebAssembly 17. Best Practices in Coding C# 9 18. Testing Your Code with Unit Test Cases and TDD 19. Using Tools to Write Better Code 20. Understanding DevOps Principles 21. Challenges of Applying CI Scenarios 22. Automation for Functional Tests 23. Answers 24. Another Book You May Enjoy
25. Index

Understanding the Different Domains in Software Solutions

This chapter is dedicated to a modern software development technique called domain-driven design (DDD), which was first proposed by Eric Evans. While DDD has existed for more than 15 years, it has achieved great success in the last few years because of its ability to cope with two important problems.

The first problem is modeling complex systems. No single expert has in-depth knowledge of the whole domain; this knowledge is instead split among several people. As we will see, DDD copes with this problem by splitting the whole CI/CD cycle into independent parts, assigned to different teams. This way each team can focus on a specific domain of knowledge by interacting only with the experts of that domain.

The second problem DDD copes with well is big projects with several development teams. There are many reasons why a project is split among several teams, the most common being the team's size and all of its members...

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