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Tag: cloud of things

Retrospective Q1/2017

What have I done:

  • The first quarter was much about migration from OpenShift PaaS to IaaS operating platform. We migrated all existing staging and production environments, with all customer data. A simple lesson learned: doing something over and over again trains you and you can perform much better if it counts.
  • In March Cloud of Things Starter Kit was launched.
  • Offsite, Offsite, Offsite. The growing demand of leaving the office building to getting to know each other, re-organize work and getting things done looks like an anti-pattern of work culture.
  • Late start of training for the upcoming MTB season.
  • Started programming an iOS App to refresh my developer skills.
  • Thought about some blog posts, but deleted them again. Some things should be untold.

Thought:

  • SMART defined goals are key.
  • Visualize your work.
  • Stop arguing about tools, start using one of them!
  • If you have more meetings than working hours a day, something is wrong.
  • Do you even have a target picture, bro?

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The AirQuality Lab: How To Work With IoT Sensors

IoT Sensor: The AirQuality Lab

 

Want to learn about the Internet of Things and how to work with a sensor? I did too! I’ve been experimenting with the “Internet of Things” (IoT) since 2014 and have learned about the challenges with my sensor project: the AirQuality Lab. In the beginning, I just wanted to create something and work with the components. The scope of my side project was to read values from a sensor, transfer it to a thing-backend and then learning from the data. This post starts with the basic setup of the Thing and the following posts will cover further points.

After finishing a project in late 2014, I played around to learn a bit more about the Internet of Things (IoT) stuff for my next project. So, it was (and is) proposed, that “everything is connected in 2020” and I had to think about a product, product strategy and technical implementation in this area. Our thoughts about a domain model for IoT at this time was, to reduce everything to a source and a drain. Well, as hardware is cheap (but this is not all) I bought a Raspberry PI, a bunch of sensors and a small LCD display. Inspired by the CubeSensors, I wanted to measure air quality with the sensors and work with the derived data. This should help to understand how things process data, how to transfer it, how to analyze and derive information from it. I started the AirQuality Lab.

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