Book Image

Hands-On Mobile Development with .NET Core

By : Can Bilgin
Book Image

Hands-On Mobile Development with .NET Core

By: Can Bilgin

Overview of this book

.NET Core is the general umbrella term used for Microsoft’s cross-platform toolset. Xamarin, used for developing mobile applications, is one of the app model implementations for .NET Core infrastructure. In this book, you'll learn how to design, architect, and develop attractive, maintainable, and robust mobile applications for multiple platforms, including iOS, Android, and UWP, with the toolset provided by Microsoft using Xamarin, .NET Core, and Azure Cloud Services. This book will take you through various phases of application development using Xamarin, from environment setup, design, and architecture to publishing, with the help of real-world scenarios. Throughout the book, you'll learn how to develop mobile apps using Xamarin, Xamarin.Forms, and .NET Standard. You'll even be able to implement a web-based backend composed of microservices with .NET Core using various Azure services including, but not limited to, Azure App Services, Azure Active Directory, Notification Hub, Logic Apps, Azure Functions, and Cognitive Services. The book then guides you in creating data stores using popular database technologies such as Cosmos DB, SQL, and Realm. Finally, you will be able to set up an efficient and maintainable development pipeline to manage the application life cycle using Visual Studio App Center and Visual Studio Services.
Table of Contents (26 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Summary


In this chapter, we have taken a look at ways to improve user engagement using push notifications and Microsoft Graph API implementations. Keeping user engagement alive is the key factor to maintaining the return rate of your application. Push notifications is an excellent tool that you can use engage your users, even when your application is not active. Azure Notification Namespaces and Hubs make this engagement a lot easier to implement by creating an abstraction layer between the PNSes and the target device runtimes. On top of the push notifications, we analyzed various APIs that are available on the Graph API through Project Rome and RESTful APIs that are readily available.

We have successfully engaged our user, so in the next chapter, we will try to surprise them with machine learning and cognitive services gimmicks to create not only a responsive and fluid application user interface, but also an intelligent one.