Blog

Braindumps, findings and inspiration from our professionals.
  1. Headless or not – that’s the question Software Engineering
    Auteur
    Roger Koeijvoets
    Datum

    Headless Content Management Systems are cropping up more and more often. But what are they exactly? Why are they popular? Why should you use them? Are they always a good solution? But then, for which problem? In my view, headless systems are well-suited for all kinds of content management-related issues, but…

  2. Serverless computing: the next cloud revolution Software Engineering
    Auteur
    Heini Withagen
    Datum

    Applications can be developed more easily, faster and cheaper Develop applications without having to worry about the management of the underlying infrastructure - like servers and load balancers - independent of scale and usage. That is the promise of "serverless computing", the cloud trend of 2016 that follows the evolutions of…

  3. Retro-hacking: van stoffige kelder naar gangmaker op de borrel Software Engineering
    Auteur
    Céryl Wiltink
    Datum

    Kennen jullie deze nog?

    Dit de is tafel die in 2008 de merknaam Microsoft Surface droeg. Ooit door Microsoft geintroduceerd als dé nieuwe belofte op het gebied van interactie. Door Mirabeau aangeschaft en ingezet voor een aantal Proof-of-Concepts. De tafel heeft een tijd in de Mirabeau-kelder gestaan; nauwelijks gebruikt en eigenlijk een…

  4. Microservice Architectures and the Future of Application Development Software Engineering
    Auteur
    Jeroen van den Heuvel
    Datum

    Experienced developers At any given time, 50% of all software developers are inexperienced. Last month my colleague Dorus Verhoeckx mentioned this statistic in a blogpost. This easily leads to the conclusion that experienced software developers will be important and expensive. In this blogpost I would like to argue that the current…

  5. Browsers do not scale. Servers do. Software Engineering
    Auteur
    Jasper Bogers
    Datum

    It was 1995 when I discovered the internet at the Utrecht University. I studied quantitative analysis for sociology, which meant generating pages of statistical data to support the empirical analysis of some hypothesis in my report. There was one matrix printer that dozens of students had to share, so it…