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  • Book Overview & Buying Mastering ASP.NET Web API
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Mastering ASP.NET Web API

Mastering ASP.NET Web API

By : Pattankar
2.8 (4)
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Mastering ASP.NET Web API

Mastering ASP.NET Web API

2.8 (4)
By: Pattankar

Overview of this book

Microsoft has unified their main web development platforms. This unification will help develop web applications using various pieces of the ASP.NET platform that can be deployed on both Windows and LINUX. With ASP.NET Core (Web API), it will become easier than ever to build secure HTTP services that can be used from any client. Mastering ASP.NET Web API starts with the building blocks of the ASP.NET Core, then gradually moves on to implementing various HTTP routing strategies in the Web API. We then focus on the key components of building applications that employ the Web API, such as Kestrel, Middleware, Filters, Logging, Security, and Entity Framework.Readers will be introduced to take the TDD approach to write test cases along with the new Visual Studio 2017 live unit testing feature. They will also be introduced to integrate with the database using ORMs. Finally, we explore how the Web API can be consumed in a browser as well as by mobile applications by utilizing Angular 4, Ionic and ReactJS. By the end of this book, you will be able to apply best practices to develop complex Web API, consume them in frontend applications and deploy these applications to a modern hosting infrastructure.
Table of Contents (14 chapters)
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Working with distributed caching

Most real-world enterprise apps fetch data from various data sources such as third-party DB, web services, and most importantly the web APIs are deployed either on cloud or server farm environment.

In the preceding cases, in-memory won't serve the purpose of caching as it's web server memory-based. To provide a more robust cache strategy across a deployed environment, it's recommended to use a distributed cache.

The distributed cache stores the data on a persistent store instead of web server memory, in this way cache data is available across the deployed environment.

The actual data store gets fewer requests than in-memory, therefore distributed cache survives the web server restarts, deployments, or even failure.

Distributed cache can either be implemented with Sql Server or Redis using the IDistributedCache interface.

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