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Web API Development with ASP.NET Core 8

Web API Development with ASP.NET Core 8

By : Yan
4.5 (15)
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Web API Development with ASP.NET Core 8

Web API Development with ASP.NET Core 8

4.5 (15)
By: Yan

Overview of this book

Web API applications have become increasingly significant in recent years, fueled by the ever-accelerating pace of technological advancements. However, with this rapid evolution comes the need to create web API apps that are not only functional but also adaptable, maintainable, and scalable to meet the demands of users and businesses alike. This book draws from the author’s immense technical expertise and decades of experience in software development to help you address this challenge head-on, equipping you with the knowledge and skills required to develop web API apps from scratch. By providing a deeper understanding of the various protocols implemented by ASP.NET Core, including RESTful, SignalR (WebSocket), gRPC, and GraphQL, supplemented by practical examples and optimization techniques, such as using middleware, testing, caching, and logging, this book offers invaluable insights for both newcomers as well as seasoned developers to meet modern web development requirements. Additionally, you’ll discover how to use cloud platforms such as Azure and Azure DevOps to enhance the development and operational aspects of your application. By the end of this book, you’ll be fully prepared to undertake enterprise-grade web API projects with confidence, harnessing the latest advancements in ASP.NET Core 8 to drive innovation.
Table of Contents (20 chapters)
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Optimizing the performance by implementing caching

Caching is a common technique used to improve the performance of the application. In web API development, caching can store frequently accessed data in a temporary storage, such as memory or disk, to reduce the number of database queries and improve the responsiveness of the application. In this section, we will introduce the caching in ASP.NET Core web API development.

Caching is an effective tool when handling data that is not regularly updated but is costly to compute or obtain from the database. It is also useful when multiple clients access the same data frequently. As an example, consider an e-commerce application that displays a list of categories. The categories of the products are not often changed, yet they are frequently viewed by users. To improve the performance of the application, we can cache the categories. When a user requests the categories, the application can return the cached data directly without querying the...

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