使用Xamarin和.NET Core构建跨平台移动应用

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“Hands-On Mobile Development with .NET Core”是一本由Can Bilgin编著的书籍，专注于指导读者如何使用Xamarin、.NET Core和Azure Cloud Services构建跨平台的移动应用程序，涵盖iOS、Android以及UWP。书中通过实际案例，详细介绍了从环境配置、设计、架构到发布应用的整个开发过程。在本书中，你将学习： 1. **Xamarin入门**：了解Xamarin的基础知识，它是微软用于构建移动应用的工具之一，基于.NET Core框架。你将学习如何设置开发环境，开始使用Xamarin创建多平台应用。 2. **Xamarin.Forms与.NET Standard**：掌握Xamarin.Forms，这是一个用于构建用户界面的统一API，可减少跨平台开发的工作量。同时，学习.NET Standard库，它允许共享代码，提高代码复用性。 3. **应用设计与架构**：探讨如何设计高效、可维护、性能良好的移动应用架构，确保应用在不同平台上都能提供一致的用户体验。 4. **Azure Cloud Services**：利用Azure App Services、Azure Active Directory进行身份验证，结合Notification Hub实现推送通知，使用Logic Apps和Azure Functions创建工作流，以及利用Cognitive Services集成AI功能，构建基于Web的后端微服务架构。 5. **数据库技术**：学习如何使用流行的数据存储技术，如Cosmos DB（文档数据库）、SQL（关系型数据库）和Realm（对象数据库），为你的移动应用提供数据支持。 6. **移动应用生命周期管理**：了解如何运用Visual Studio App Center和Visual Studio Services建立高效且可维护的开发流水线，实现应用的持续集成、测试、分发和监控，从而有效管理应用的全生命周期。 7. **知识产权声明**：本书的版权归属于Packt Publishing，并对所有未明确表示的第三方商标和产品名称进行了适当的标记，但无法保证其准确性，作者和出版商不承担任何因使用本书信息而直接或间接造成的损害责任。通过本书，读者将能够具备开发高质量、跨平台移动应用的能力，利用微软提供的最新工具和技术实现高效开发和管理。

Preface

[ 2 ]

Chapter 6, Customizing Xamarin.Forms, goes through the steps and procedures of

customizing Xamarin.Forms without compromising the performance or user experience.

Some of the features that will be analyzed include effects, behaviors, extensions, and

custom renderers.

Chapter 7, Azure Services for Mobile Applications, discusses the fact that there are a number

of services that are offered as services (SaaS), platform (PaaS), or infrastructure (IaaS), such

as Notification Hub, Cognitive Services, and Azure Functions, that can change the

impressions of the users regarding your application with little or no additional

development hours. This chapter will give you a quick overview of using some of these

services while developing .NET Core applications.

Chapter 8, Creating a Datastore with Cosmos DB, explains that Cosmos DB offers a multi-

model and multi-API paradigm that allows applications to use multiple data models while

storing application data with the most suitable API for the application, such as SQL,

JavaScript, Gremlin, and MongoDB. In this chapter, we will create the data store for our

application and implement the data access modules.

Chapter 9, Creating Microservices Azure App Services, goes through the basics of Azure App

Services, and we will create a simple data-oriented backend for our application using

ASP.NET Core with authentication provided by Azure Active Directory. Additional

implementation will include offline sync and push notifications.

Chapter 10, Using .NET Core for Azure Serverless, shows how to incorporate Azure

Functions into our infrastructure to process data on different triggers, and integrate Azure

Functions with a Logic App that will be used as a processing unit in our setup.

Chapter 11, Fluid Applications with Asynchronous Patterns, explains that when developing

Xamarin applications and ASP.NET Core applications, both the task's framework and the

reactive modules can help distribute the execution threads and create a smooth and

uninterrupted execution flow. This chapter will go over some of the patterns associated

with these modules and apply them to various sections of the application.

Chapter 12, Managing Application Data, explains that, in order to avoid data conflicts and

synchronization issues, developers must be diligent regarding the procedures implemented

according to the type of data at hand. This chapter will discuss the possible data

synchronization and offline storage scenarios using products such as SQLite and Realm, as

well as the out-of-the-box offline support provided by Azure App Services.

Preface

[ 3 ]

Chapter 13, Engaging Users with Notifications and the Graph API, briefly explains how

notifications and the graph API can be used to improve user engagement by taking

advantage of push notifications and the graph API. We will create a notification

implementation for cross-platform applications using Azure Notification Hub. We will also

create so-called activity entries for our application sessions so that we can create a timeline

that is accessible on multiple platforms.

Chapter 14, Introducing Cognitive Services, adds speech recognition to our application using

the speech API. Additionally, we will be creating a computer vision training set to

categorize user-uploaded images. After the Xamarin tasks for Android and iOS are

completed, we will be creating a simple machine learning example using the client SDK

that's available for UWP.

Chapter 15, Azure DevOps and Visual Studio App Center, shows how to use Visual Studio

Team Service and App Center to set up a complete automated pipeline for Xamarin

applications that will connect the source repository to the final store submission.

Chapter 16, Application Telemetry with Application Insights, explains how Application

Insights is a great candidate for collecting telemetry from Xamarin applications that use an

Azure-hosted web service infrastructure because of its intrinsic integration with Azure

modules, as well as the continuous export functionality for App Center telemetry.

Chapter 17, Automated Testing, discusses how to create unit and coded UI tests, and the

architectural patterns that revolve around them. Data-driven unit tests, mocks, and

Xamarin UI tests are some of the concepts that will be discussed.

Chapter 18, Deploying Azure Modules, demonstrates how to configure the ARM template for

the Azure web service implementation, as well as other services (such as Cosmos DB and

Notification Hub) that we used previously so that we can create deployments using the

Visual Studio Team Services build and release pipeline. Introducing configuration values

into the template and preparing it to create staging environments are our primary focus of

this chapter.

Chapter 19, CI/CD with Azure DevOps, explains how developers can create fully automated

templates for builds, testing, and deployments using the toolset provided with Visual

Studio Team Services. In this chapter, we will set up the build and release pipeline for

Xamarin in line with the Azure deployment pipeline.

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