Wir bieten eine leistungsstarke SaaS-Platform die Ihnen als Manager und Ihren Mitarbeitern überall die Möglichkeit gibt Ideen zu sammeln, zu beeinflußen und zu evaluieren. Nach der Auswahl der vielversprechensten Vorhaben sorgt unsere Controllingmodul dafür, dass die vorhanden Ressourcen maximal-effizient auf die gestarten Projekte verteilt werden. Dabei werden moderne minimale-Verluststrategien und konvexe Optimierer verwendet um zu garantieren, dass Sie immer die größten Effekte erzielen. Da wir von der Software überzeugt sind, bezahlen Sie auch nur Geld, wenn die umgesetzten Ideen auch nachweislich effizienter sind. Somit ist garantiert, dass Sie bei der Beschaffung nichts falsch machen können.
In this post I want to share some insights about our approach for development and the product that we created for FarmHack 2020. We were a team of 7 people who created an app for evaluating places for pop up restaurants a.k.a. snack bars based on data from OpenStreetMap and Destatis.Read more about PopUpPlaces – Mob Programming for pop up restaurants app for FarmHack 2020
For multiple projects I am currently evaluating a lot of different technologies in the mobile space. A typical decision that a project manager for mobile applications has to take is the decision if they want to develop multiple native applications or if they want to use a cross plattform approach. This blog post will first compare native vs. cross platform development afterwards it will give an overview about my experiences with flutter.Read more about Flutter the rising star for Multiexperience Development Platforms
This blog post will describe some ideas around building a serverless app store that can be used to write web applications and extensions for every domain on the internet.
This blog post will contain a description of the routing algorithm that was implemented on the 23.11. – 25.11.2018 on the debeka hackquarter to find safer cycling routes in Koblenz. It uses Java EE (wildfly), PostgreSQL and pgRouting for the backend. The frontend was implemented using mapbox JS GL. The source can be found on github. The whole coding took around 8 hours for 2 persons. During the presentation the following summary was visualized:
If you are aiming for a microservice architecture everything is easy as long as the services do not have to communicate with each other. When this is necessary the services have to find each other.
In this blog post I will post a visualization of my trips between 2015 and 2018 mainly in germany. Further it contains the Java code that I used to convert the proprietary JSON format used by the google maps timeline for locations logs into a csv file.
Read more about Visualizing my trips from Google Maps with Kepler.gl
In this blog post I will tell a small data story about farmland prices based on data of 2016. The data is mainly given by Statisches Bundesamt and Bundesanstalt für Geowissenschaften und Rohstoffe and the visualizations are made with the awesome open source library kepler.gl created by Shan He and her data visualization team at Uber.
This is the fourth part of the series microservices and business value. It will handle the most important part of your IT projects. The team structure.
In this blog post I will describe how to support a modern continuous delivery process to deliver business value daily to weekly. The main tools that will be used are git, Jenkins multibranch pipelines and production application servers e.g. wildfly.
In this blog post I will describe an example application that is based on the ideas given in the blog post Business value driven architecture with microservices. You can see that it is technical but it also includes some simple ideas that make software engineering a lot easier and a lot more usable for the end Read more about Series business value 2: Example business application with microservices[…]