A guide how to transfer a AWS Route53 hosted zone and domain from one AWS account to another.

Visualization of noise pollution for the entire world based on top of OSM data. Search for your city and check for the noisy places. Using global street, landuse and building data from OpenStreetMap we can approximate where noise pollution might happen. We use a very simple noise model inspired by noise pollution concept of Cities Skylines.

The Swiss Federal Statistical Office BFS has a lot of valuable open data that is just in the wrong format. The STAT-TAB database allows anyone to download the data in the PX data format. To transform this data into a better format requires a few steps that are explained in this tutorial.

Some months ago I had to implement a user defined transform (UDT) for SAP Business Object Data Services in Python. We integrated social media services into a SAP based platform and there are a few things I stumbled upon while trying to implement it.

If you are working on a web map it is difficult to see what changes a line of CartoCSS can cause. With visual regression testing you can create a diff between versions and ensure quality.

In summer of 2015 a good friend and I did a biketour from Switzerland to Greece across the Balkan states. The entire tour was GPS tracked and as a special memory of this experience I wanted to create a T-shirt out of the data of our journey. You can find the project on Github.

Building realtime apps on top of GitHub is kind of a pain because GitHub only provides a plain HTTP API to it’s public events. This is why I built the GitHub Realtime Relay (GHRR) which polls all public events and then relays them directly via websockets. This is probably the simplest way to create a realtime application on top of GitHub.

OpenStreetMap now provides public access to the access logs of their tile map server from 2014 until today. In this article I will show you how to parse the access logs with Bash and Python and visualize the data with CartoDB.

A simple guide how to create a stateful service with CoreOS fleet and AWS volumes. If you need to run a stateful service which does not need to be highly available this guide will get you up to speed.

I analyzed 370 million files of 614k Github repos to find out which Continous Integration services developers use. I looked at public Github repos that were recorded in the GHTorrent dataset of 2015-01-29 and are not forks of other projects. The dataset is available at the repostruct Github Repository.

In 2011 the Chaos Computer Club revealed a major complexity attack vulnerability that works across all major languages. PHP addressed the vulnerability for forms but never really fixed it. Nowadays every web application uses a JSON API, which is still vulnerable to complexity attacks.

Docker is amazing and a project that brings Docker to its logical conclusion is CoreOS, a very light-weight Linux distribution, where all applications are installed and run using Docker. I wanted to try out CoreOS on a Apache Cloud Stack based IAAS provider. While CoreOS provides many different installation methods, they missed out on CloudStack.

I will compare and review the different APIs of end user cloud storage providers. I will only look at the HTTP API aspect, not how this API is implemented for various languages. The motiviation behind this is research for my common cloud storage API.

Even though I have a working prototype for my cloud storage filesystem, I don’t want to write yet another Distributed File System. Instead I could help others doing so, by providing a common API to consumer cloud providers.

I want to abstract the fact, that the Cuckoo Drive is just a composition of many cloud storages. It should work the same way as if you use your local harddrive with a special filesystem on it. This automatically allows many tools and possibilities that already exist (like the great rsync) to interact with the CuckooDrive.

There are many cloud storages that give you an initial free capacity to store data. After that, if you want more space you have to pay for it. It is convenient to store all your data at the same cloud storage for the ease of access. But then your hitting the free space limit pretty quickly and you start paying.

In the last learning phase I tried to use Examtime to create my study plan in a celandar. After the exam I wanted to check how much time I’ve used for each lecture to prepare. So I wrote a small Python script and exported an iCalendar from Examtime.

I switched over to Opensource software and have failed to find a viable alternative to a notetaking application like Evernote. That’s why I want to create an open source solution for the problems Evernote and its competitors solve.