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Tools and Skills for .NET 8

You're reading from   Tools and Skills for .NET 8 Get the career you want with good practices and patterns to design, debug, and test your solutions 

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781837635207
Length 778 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Mark J. Price Mark J. Price
Author Profile Icon Mark J. Price
Mark J. Price
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Table of Contents (22) Chapters Close

Preface 1. Introducing Tools and Skills for .NET 2. Making the Most of the Tools in Your Code Editor FREE CHAPTER 3. Source Code Management Using Git 4. Debugging and Memory Troubleshooting 5. Logging, Tracing, and Metrics for Observability 6. Documenting Your Code, APIs, and Services 7. Observing and Modifying Code Execution Dynamically 8. Protecting Data and Apps Using Cryptography 9. Building an LLM-Based Chat Service 10. Dependency Injection, Containers, and Service Lifetime 11. Unit Testing and Mocking 12. Integration and Security Testing 13. Benchmarking Performance, Load, and Stress Testing 14. Functional and End-to-End Testing of Websites and Services 15. Containerization Using Docker 16. Cloud-Native Development Using .NET Aspire 17. Design Patterns and Principles 18. Software and Solution Architecture Foundations 19. Your Career, Teamwork, and Interviews 20. Epilogue 21. Index

Introducing dependency injection

Dependency injection (DI) is a design pattern used to implement Inversion of Control (IoC) to resolve dependencies in a program. Traditionally, the flow of control is dictated by your code, as it makes calls to reusable libraries or frameworks to use their functionality. IoC inverts this control so that the framework controls it instead.

For example, ASP.NET Core uses DI for IoC extensively. The framework controls the flow of request processing, and the developer’s code is executed in response to specific events like HTTP GET or POST requests.

The main idea of DI is to decouple the creation of an object’s dependencies from its own behavior, which allows for more modular, testable, and maintainable code. Instead of objects creating dependencies themselves, they are injected with their dependencies at runtime, often by an external framework or container.

For example, in Figure 10.1, on the left, you can see a statement that...

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