27 02 2016
I have local database where I insert some data and I want this data to be available also in cloud. As a lazy guy I don’t want to synchronize data manually. After setting up local and cloud databases I activated Azure Data Sync to just find out that it conflicts with EF7 insert and update queries. As I don’t have many tables and my database is pretty small I invented simple workaround.
11 02 2016
In one of my systems I’m using background process that hosts jobs that import and update some data and communicate with external services. These jobs are running after some interval or on specific moments. I generalized the common base part of these jobs so I can handle them as one in different background processes like Azure worker roles and Windows services. This blog post introduces my work and shows real-life implentation of jobs base.
5 02 2016
Our beer cooling solution is not controllable through IoT Hub and it reports data there. We can control our device through simple command line application but it is not enough for us. In this post we start building Universal Windows Application that helps us monitor temperatures. In this post we focus on mobile application.
4 02 2016
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.
3 02 2016
When cooling beer we want to store history of temperatures for two reasons. First, it gives us valuable history data for next cooling sessions. As a second thing we can ask measurements when we temporarily lost connection with IoT Hub. In this posting we make some analyzis and then build up database for our beer cooling solution.
3 02 2016
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.
3 02 2016
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.
2 02 2016
Some posts about my IoT solution that helps me to cool eisbock beer to freezing needed mathematical equations. I know I can use poorly supported MathML or bitmap images but both of these solutions come with problems. I tried to find some better solution and found MathJax.
2 02 2016
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.
1 02 2016
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.