Skip to main content

Real-Time Talk: Windows 10 IoT Core Background Tasks and ASP.NET Core Web Apps

Display useful information from your Windows 10 IoT Core application in an ASP.NET Core web app, essential for integrating IoT data into a solution.

Windows 10 IoT background task talk with a web application using WebSockets.

Problems

As my path to this solution has been troublesome, I am listing here the main problems I faced so my dear readers have a better idea of dead-end streets along the way:
  • I was not able to make the ASP.NET Core web application run under a Windows 10 IoT background service.
  • I found no information about when or if it will be supported in the near future.
  • ASP.NET MVC and ASP.NET Core have different SignalR implementations.
  • I was not able to make a SignalR client for .NET Core work with SignalR hosted on a web application.
I was able to make things work by directly using a WebSocket. It’s not as nice a solution as I had in my mind, but it works until things get better.

Making the Background Task and Web Application Talk


I worked out simple and not-very-well polished solution to make a Windows 10 IoT Core background task communicate with an ASP.NET Core web application hosted on a Raspberry Pi. I implemented two types of communication on the same WebSocket endpoint. The following image illustrates what is supported.
Windows 10 IoT Core background task and ASP.NET Core web application
To make my sample more informative, I also implemented some primitive functionalities to demonstrate how data moves.


  1. The Windows 10 IoT Core background task reports random numbers to the web application every 10 seconds.
  2. The web application has a simple console to send commands to the Windows 10 IoT Core background task. Supported commands are:
    1. opsys: returns operating system information from the background task
    2. machine name: returns the machine name where the background task runs
Here is a fragment of the web application's front page when the background service runs.
WebSocket sample output with command

    Comments

    Popular posts from this blog

    Python and Parquet Performance

    In Pandas, PyArrow, fastparquet, AWS Data Wrangler, PySpark and Dask. This post outlines how to use all common Python libraries to read and write Parquet format while taking advantage of  columnar storage ,  columnar compression  and  data partitioning . Used together, these three optimizations can dramatically accelerate I/O for your Python applications compared to CSV, JSON, HDF or other row-based formats. Parquet makes applications possible that are simply impossible using a text format like JSON or CSV. Introduction I have recently gotten more familiar with how to work with  Parquet  datasets across the six major tools used to read and write from Parquet in the Python ecosystem:  Pandas ,  PyArrow ,  fastparquet ,  AWS Data Wrangler ,  PySpark  and  Dask . My work of late in algorithmic trading involves switching between these tools a lot and as I said I often mix up the APIs. I use Pandas and PyArrow for in-RAM comput...

    Ingesting IoT Sensor Data Into S3 With an RPI3

    StreamSets Data Collector Edge is a lightweight agent used to create end-to-end data flow pipelines. We'll use it help stream data collected from a sensor. Due to the increasing amount of data produced from outside source systems, enterprises are facing difficulties in reading, collecting, and ingesting data into a desired, central database system. An edge pipeline runs on an edge device with limited resources, receives data from another pipeline or reads the data from the device, and controls the device based on the data. StreamSets Data Collector (SDC) Edge, an ultra-lightweight agent, is used to create end-to-end data flow pipelines in StreamSets Data Collector and to run the pipelines to read and export data in and out of systems. In this blog, StreamSets Data Collector Edge is used to read data from an air pressure sensor (BMP180) from an IoT device (Raspberry Pi3). Meanwhile, StreamSets Data Collector is used to load the data into Amazon's Simple Storage Service ...