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Hands-On RESTful Web Services with ASP.NET Core 3

You're reading from   Hands-On RESTful Web Services with ASP.NET Core 3 Design production-ready, testable, and flexible RESTful APIs for web applications and microservices

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Product type Paperback
Published in Dec 2019
Publisher Packt
ISBN-13 9781789537611
Length 510 pages
Edition 1st Edition
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Author (1):
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Samuele Resca Samuele Resca
Author Profile Icon Samuele Resca
Samuele Resca
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Table of Contents (26) Chapters Close

Preface 1. Section 1: Getting Started FREE CHAPTER
2. REST 101 and Getting Started with ASP.NET Core 3. Section 2: Overview of ASP.NET Core
4. Overview of ASP.NET Core 5. Working with the Middleware Pipeline 6. Dependency Injection System 7. Web Service Stack in ASP.NET Core 8. Routing System 9. Filter Pipeline 10. Section 3: Building a Real-World RESTful API
11. Building the Data Access Layer 12. Implementing the Domain Logic 13. Implementing the RESTful HTTP Layer 14. Advanced Concepts of Building an API 15. The Containerization of Services 16. Service Ecosystem Patterns 17. Implementing Worker Services Using .NET Core 18. Securing Your Service 19. Section 4: Advanced Concepts for Building Services
20. Caching Web Service Responses 21. Logging and Health Checking 22. Deploying Services on Azure 23. Documenting Your API Using Swagger 24. Testing Services Using Postman 25. Other Books You May Enjoy

Services life cycle

A key point to master when we deal with dependency injection is the services life cycle. The services life cycle is an essential concept about performance, because a wrong service life cycle may cause complicated performance degradation.

The object lifetime in .NET is simple: the object is instantiated, used, and finally disposed of by the garbage collector. The dispose phase is the most relevant in terms of performance. In a dependency injection process, the consumer of a specific dependency does not control its lifetime. Indeed, dependencies are usually initialized by the dependency injection container, and they continue to exist until all their consumers hold them.

A typical performance issue that engineers face in large applications is the memory leak. The garbage collector fails to clean objects because they are still referred to as consumers. Consequently...
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