IoT

Real-time chart using ASP.NET Core and WebSocket

Using WebSocket support in ASP.NET Core we can easily write real-time data visualization solutions. What if we mix together ASP.NET Core, WebSocket, Knockout and 3D charts? The answer is – nice real-time chart that visualizes sensor readings. This blog post introduces simple real-time chart and IoT device simulator that help to get started with real-time data visualization.

Windows IoT Core: Logging to Syslog server

Syslog servers are most popular in Linux world. These servers accept logs from different clients and are not opened to external network. There are also Syslog servers available for Windows. This blog post shows how to write messages to Syslog server from WIndows 10 IoT Core background application.

Using Windows IoT Remote Client

Want to set up your RaspberryPi with Windows 10 IoT Core and have remote access to device with like remote desktop? Good news is that Windows 10 IoT Core supports something close to it and there is remote access app that works on Windows 10, Windows Phone 10 and even HoloLens.

Fallback logger for Windows 10 IoT Core

We love to use our favorite logging solutions as much as possible but if external storage or external services are involved we cannot guarantee that logging works in crisis situation. This blog post introduces wrapper logger that uses main one to log all the messages and secondary one when main logger fails. Implementation is easy but there’s a good chance that log messages doesn’t get completely lost when main logging service goes down.

Using ETW tracing on Windows 10 IoT Core

Here is how to make custom event source for ETW (Event Tracing for Windows) work on Windows 10 IoT Core. It’s not so simple as developers of business solutions are used with Microsoft tooling on other areas but it’s not also something too complex or time consuming to do. This blog post introduces simple logging class and steps to make it work on Windows 10 IoT Core.

TemperatureStation: My Windows 10 IoT Core solution on Github

I published to Github sample temperature measuring solution that runs on Windows 10 IoT Core and that is built on Visual Studio. Source code with basic documentation is available too. This demo project is there to give some starting point to those who are visiting my Brewing Eisbock with Raspberry PI and Windows 10 IoT sessions in different conferences.

Beer IoT: Visualizing sensors data using Power BI

We are eager to try out our beer cooling solution and we want to see it in action. We want to visualize our data and keep eye on temperature of cooling beer. Before doing anything more complex like building web or mobile app we make a quick shortcut and bring our data to web, desktop and mobile. This post is about Power BI in action.

Beer IoT: Reporting measurements to Azure IoT Hub

As we have now fully functioning thermal solution running on Windows 10 IoT Core it’s time to focus to other components of our beer freezing solution. Our solution measures and calculates metrics of cooling beer but it doesn’t report this data anywhere. In this blog post we will set up Azure IoT Hub for our solution so it starts reporting measurements to Microsoft Azure.

Beer IoT: Estimating beer cooling time

In my last beer IoT post we measured out cooling rate of beer. In this post we try to estimate how long it takes for beer to start freezing. It’s actually simple calculation and we add it to our beer IoT background service before we focus on data reporting and persisting questions.

Beer IoT: Making cooling rate calculation testable

My previous beer IoT post introduced how to measure cooling rate of beer. As I introduced the first calculation there I implemented it in code the way it just works and gets calculations done. Now it’s time to focus on the implementation and make some small improvements that clean up code and improve technical design.

Beer IoT: Measuring cooling rate

As thermal sensors are connected and we have code to read temperatures it’s time to get serious and start real work on supporting the cooling process of eisbock. We start with measuring temperatures, calculating cooling rate and estimating how long it takes for beer to freeze. This post focuses on cooling rate.

Beer IoT: Moving to ITemperatureClient interface

My previous blog post “Measuring temperature with Windows 10 IoT Core and Raspberry Pi” introduced you my simple solution for measuring temperatures. In this blog post we go step further and make some modifications to solution architecture so we don’t have to keep sensors connected all the time and as a result we can also emulate temperatures and situations that are not easy to produce in home or office.