RESTful Web services with ASP.NET Core
REST is an architectural style that tackles the challenges of building scalable web services. In today’s connected world, APIs have taken a central role on the web. APIs provide the fabric through which systems interact, and REST has become a common style for APIs. The depth, breadth, and ease of use of ASP.NET Coremake it a breeze for developers to work with it to build robust Web APIs. This video course takes you through designing RESTful web services and leverages the ASP.NET Core to implement these services.
Starting from the basic philosophy behind REST, you’ll go through the first steps of designing and implementing an enterprise-grade RESTful web service. Taking a practical approach, each chapter provides code samples that you can apply to your own circumstances. It brings forth the power of the latest .NET Core release, working with ASP.NET Core. It then goes beyond the use of the framework to explore approaches to tackling resilience, security, and scalability concerns.
You will start with the basics of REST and end with building a .NET Application for your RESTful web service.
About The Author :
Fabian Gosebrink is a
Software Engineer, Microsoft MVP, Microsoft Technology Ambassador and
Microsoft Certified Specialist in web application development as well as
a trainer and international speaker.
This video provides an overview of the entire course.
In this video, you will learn how to use the .NET command-line interface to create an ASP.NET core application. We will use the cli and Visual Studio 2017 to start it.
Exploring ASP.NET Core
This video aims at learning to start a new ASP.net Core project with Visual Studio 2017 and explore what files are scaffolded.
In this video, we will understand the concept of middleware in ASP.NET Core and how to create a HTTP-Request Pipeline.
Building the First Endpoint with ASP.NET Core
ASP.NET Core WebAPI – the Next Steps
In this video, we use formatters and content negotiation so that the client can decide in which way he wants to send and receive the data.
We will add multiple loggers to our API in this video.
In this video, we will add model validation to our API.
In this video, we will add an automatically generated API to our WebAPI.
In this video, we will add parameters for paging, sorting and filtering the data we query.
In this video, we will add support for different versions of our API to distinguish between Version x and Version y.
To enable an authentication, we will use the Identity Server and Policies.