You're reading from Software Architecture with C# 10 and .NET 6 – Third Edition Develop software solutions using microservices, DevOps, EF Core, and design patterns for Azure

Product type Paperback

Published in Mar 2022

Publisher Packt

ISBN-13 9781803235257

Length 714 pages

Edition 3rd Edition

Languages

Tools

.NET

Concepts

Design Patterns

Authors (2):

Francesco Abbruzzese

Gabriel Baptista

View More author details

Table of Contents (27) Chapters

Preface

1. Understanding the Importance of Software Architecture FREE CHAPTER

2. Non-Functional Requirements

3. Documenting Requirements with Azure DevOps

4. Deciding on the Best Cloud-Based Solution

5. Applying a Microservice Architecture to Your Enterprise Application

6. Azure Kubernetes Service

7. Interacting with Data in C# – Entity Framework Core

8. How to Choose Your Data Storage in the Cloud

9. Working with Azure Functions

10. Design Patterns and .NET 6 Implementation

11. Understanding the Different Domains in Software Solutions

12. Implementing Code Reusability in C# 10

13. Applying Service-Oriented Architectures with .NET

14. Implementing Microservices with .NET

15. Presenting ASP.NET Core MVC

16. Implementing Frontend Microservices with ASP.NET Core

17. Blazor WebAssembly

18. Native versus Web Clients

19. Artificial Intelligence and Machine Learning

20. Best Practices in Coding C# 10

21. Understanding DevOps Principles

22. Challenges of Applying CI & CD Scenarios

23. Testing Your Enterprise Application

24. Answers

25. Other Books You May Enjoy

26. Index

Introduction to AI and machine learning

What has changed in artificial intelligence in the last 20 years? Basically, almost nothing! At least in the algorithmic theories behind the various artificial intelligence techniques. For sure, there have been new applications of existing theories, and minor refinements, but mainly more computational power! That’s where the cloud and big data come in! That’s why the cloud triggered a revival of artificial intelligence.

A renewed interest in neural networks started when video cards gave the possibility to customize the operations performed on each pixel by providing chunks of code called pixel shaders. The initial purpose was empowering 3D rendering with photo-realistic effects and special effects, but in a short time, developers realized that video cards were powerful processors capable of executing single instructions (the ones provided by pixel shaders) in parallel on millions of data (all pixels). They are SIMD (Single...