At Build 2016, Microsoft showcased a scalable, performant, highly available, and cross-platform IoT service and application. MyDriving uses a wide range of Azure services to process and analyze car telemetry data for both real-time insights and long-term patterns and trends. Download the code on GitHub, play with the app in a sandbox environment, or deploy it to your own Azure subscription to run. Find out more at: http://aka.ms/IoTSampleApp
In this episode, Robert is joined by Harikrishna Menon, who shows us MyDriving, an Azure IoT and Mobile sample application. This solution uses On-board diagnostics (OBD) data from your car to analyze your driving. The backend uses multiple Azure Services like IoT Hub, Stream Analytics, SQL databases, HDInsight, Machine Leaning, and App Services and how you can configure them without having to write a lot of code. The app runs on Windows, iOS and Android and is built with Xamarin. Hari shows how to make use of the full DevOps cycle (Visual Studio Team Services, HockeyApp, Xamarin Test Cloud) to build, test and distribute the app.
The MyDriving IOT Starter Kit is a canonical example of a highly scalable, performant, available and cross-platform IOT service and application. This application brings together our best Azure, developer platform and service offerings to showcase the breadth and depth of Microsoft offerings in this space. The architecture guidance and the associated documentation provides an in-depth insight into the best practices and patterns adopted by the team during development. Learn how to we went about building and designing this solution, as well as how you can go about building and deploying your own version of the service and application.