
fifty2:three – CGN airport

... writes about the Internet of Things, Agile Software Development and Photography
Yeah, I’m a bit surprised that I have managed a second 52 photo project picture. The workload increased significantly this week, but I took a lot of pictures.
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Leave a CommentAs many people have, I have picked some New Years resolutions. As I’m interested in photography but didn’t have shot much in the past two years, I want to do more. I want to do some projects and one of them is a 52-week project. If you’re not familiar with it, it means that I shoot and publish a picture every week for a year. This is just to stick with photography, get some creative mojo and practice the craft. So don’t expect awesome fine-art photos every week.
This is my first photo. The whole week here was mostly overcast, rainy and some winter storms (without snow). One day in the evening on a walk, the sun came out to say goodbye for the day.
The great thing about the software tools today is, that most of them provide an API for developers. People can enhance, connect or create new products with the API. But how can you support developers and build a developer community or developer ecosystem? This Do’s and Dont’s list will help you to navigate through the unlimited possibilities of activities.
Leave a CommentEvery year, the innovation cycle gets shorter and shorter. Who know’s what technologies will emerge in 2018. But some big technology trends have recognizable growing attention. I predict that the following selected 6 technology trends will become sustainable in 2018.
Drones are still a cutting-edge technology, apart from multi-copters for filming purposes. Fully autonomous drones can be observed in closed areas, like logistic centers. Some prove of concepts already have been done in public for pizza delivery, postal service, or parcel delivery. In 2018, artificial intelligence and robotics will mature to commercial readiness.
Multi-Access Edge Computing (or Mobile Edge Computing; MEC) will come commercially available in carrier networks. Even before the 5G standard will be finished, carriers will implement cloud computing capabilities in their networks. The question is, do they have the customer in mind and deploy a common system or do they create isolated solutions? Anyway, application builders can improve their customer experience with low latency or compute offloading solutions.
Leave a CommentHappy New Year 2018! I hope everybody had a vibrant start to the new year. Like the end of last year, I updated my goals and set up new goals for 2018 in the last days. As usual, the main problem is the lack of time. Here and there are some possible obstacles in sight, but to achieve all I want to do I need more time. You know? At least with my (new) job with the Edge Computing, I can enjoy technology & programming again. I hope you will stay with me the next year. I plan some more blog posts about the Edge stuff. But, I won’t promise anything, because, you know… procrastinating and so on. But let me recap:
Let me start off by thanking everybody who was with me in 2017 and for all your support!
Let’s start strong in 2018 and thank you for being here!
1 CommentIn the last 3.5 years, I was responsible for the service development of the Cloud of Things, the IoT platform of Deutsche Telekom. It’s been an incredible adventure, but after almost four years, it’s time for me to move on. Developing a product for the Internet of Things was a fantastic adventure. Learning the various different customer problems and build a full-service stack to solve them with ease, fast and secure. We started from a small base and have grown up to a major pillar in the DT IoT strategy. But, inside Deutsche Telekom, the topic went “big”, too big. I selected my next adventure: low latency edge computing. The Low Latency Computing platform is built to reduce the latency between the computing device and the cloud. The Low Latency Computing platform enables customer solutions like suitable Car-to-X communication. It helps to smooth the end-customer experience with low latency, e.g.…
1 CommentA lot happened in the past months. There was a big change in the company regarding IoT. A re-organization, new goals, a broader approach to the market. With little free time, I couldn’t manage to write about the details, I just tweeted about short stuff. But now, by the end of the year, I find time to write some updates.
Effective training is key to build a strong foundation for competition. That’s why I am using the Strava API with Python to analyze Strava training activities. I started my winter training recently and wanted to make sure I’m training effectively. Especially, I want to see if I stay in the right zones during the training. I have set up my Forerunner alarms appropriate, but I train outdoor, so it goes up and down during the run and I can’t control everything during the ride. Human. Not robot.
I started with the stravalib library, for reading the data from the API. As usual in data science, I need to transform and prepare the data for visualization. I end up storing the generated plots and build a quick & dirty HTML-file to display the stuff. I will now guide you through the example. I will explain the important steps. You can find the complete code on https://github.com/marquies/strava-viz.
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