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Architecting ASP.NET Core Applications

You're reading from   Architecting ASP.NET Core Applications An atypical design patterns guide for .NET 8, C# 12, and beyond

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781805123385
Length 806 pages
Edition 3rd Edition
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Author (1):
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Carl-Hugo Marcotte Carl-Hugo Marcotte
Author Profile Icon Carl-Hugo Marcotte
Carl-Hugo Marcotte
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Toc

Table of Contents (27) Chapters Close

Preface 1. Section 1: Principles and Methodologies FREE CHAPTER
2. Introduction 3. Automated Testing 4. Architectural Principles 5. REST APIs 6. Section 2: Designing with ASP.NET Core
7. Minimal APIs 8. Model-View-Controller 9. Strategy, Abstract Factory, and Singleton Design Patterns 10. Dependency Injection 11. Application Configuration and the Options Pattern 12. Logging Patterns 13. Section 3: Component Patterns
14. Structural Patterns 15. Behavioral Patterns 16. Operation Result Pattern 17. Section 4: Application Patterns 18. Layering and Clean Architecture 19. Object Mappers 20. Mediator and CQS Patterns 21. Getting Started with Vertical Slice Architecture 22. Request-EndPoint-Response (REPR) 23. Introduction to Microservices Architecture 24. Modular Monolith 25. Other Books You May Enjoy
26. Index

What is logging?

Logging is the practice of writing messages into a log and cataloging information for later use. Logging is a cross-cutting concern, meaning it applies to every piece of your application. We talk about layers in Chapter 14, Layering and Clean Architecture, but until then, let’s just say that a cross-cutting concern affects all layers and cannot be centralized in just one; it affects a bit of everything.

Logging is essential for several reasons, including:

  • Error diagnosis: Logging helps capture runtime errors and stack traces, which are invaluable for diagnosing issues after they occur, especially once an application is in production
  • Debugging support: Detailed logs can provide context when debugging, helping developers understand the application’s state at the time of an error or exception
  • Performance monitoring: By logging performance metrics, you can identify bottlenecks and optimize the efficiency of your application
  • ...
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