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Work Change from h_da to Software AG

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After several years at the Darmstadt University of Applied Sciences (h_da), I am offering my research experience to the industry yet, particularly at the Software AG.

I look back to five exciting years of researching in several publicly funded projects, but also in supporting the university to set up research infrastructures and provide guidance to many academics. Even though not all actions will be continued, I am looking forward that I could support establishing new standards to enable research at the h_da. I definitely will miss the profession of some colleagues and their creativity in finding novel solutions and the sometimes very entertaining talks. In many ways, I enjoyed the collaboration and I think I will remember it for a long time.

With the movement to the Software AG as a researcher, I am pretty sure to bring in my expertise to enhance the services of Software AG with new interesting features that will help customers to get better services and solutions. And I am sure, I will learn new smart people from whom I can learn from.

Dean Grove defended his Bachelor-Thesis on Concepts for the Transformation of a Minimum Viable Product for the Automatic Identification of Users into a Scalable Infrastructure

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In the thesis, Dean Grove evaluated the infrastructure of a Minimum Viable Product (MVP), which is based on and provides suggestions as to how to make the not-visible part of the product, and the architecture easier to maintain for future use and scalable if the need occurs to be able to handle more requests. An MVP is a product that was developed in the lean startup method and is used, to develop a product quickly and get feedback from customers or investors, without creating a lot of engineering overhead. In its definition, the MVP uses the least amount of effort, to receive the maximum amount of feedback. While this in itself is amicable, developing something quickly leaves some best practices behind, which this thesis will focus on. Introducing some options that are industry standards or best practices will show how the product can become more future-proof. Be it either by requiring more CPU performance and needing to scale out, scale up the services or by showing how correctly managing user access and their roles can be beneficial in the long run. When working on sensitive data, some regulatory concerns will be evaluated throughout this thesis. In particular, the General Data Protection Regulation (GDPR) is extremely important.