After two years in production, the enterprise IT monitoring system we wrote for German insurer PBeaKK crossed a major milestone with over 1 billion database records. Dubbed "IT Cube", this real-time monitoring application runs in a moderately equipped Virtual Machine with a Windows OS, 4 CPU cores and 36 GB RAM, connecting to a vanilla Microsoft SQL Server. Over 3,000 IT entities report state inf

Codemart's ghost squad materialized at the yearly Voxxed Days in Cluj, gathering in the icecold glow of 666 screens and summoning the almighty spirits of bloody Java and undead Kubernetes 👻🎃

Like every year, we had an amazing team building weekend, this time at the huge Arsenal Park in Orăștie. Apart from the roaring party nights filled with food, cocktails, cringeworthy karaoke, giant bonfires and technically illegal swimming, we enjoyed a wide range of activities: treasure hunting, Airsoft battles, a scarily high and long zip line, bouldering, jumping from a 30 meters tall tower, s

Our previous website was launched in 2013 as a nimble, static version with no back-end. A few years ago we migrated it into a fledgling content management framework. Now it's time to show what goods it can deliver in 2019! Of course we wrote the back-end all by ourselves (kudos go to Diana, Vlad and Cătălin!). It's based on the Zwei content management framework we've been co-developing for years

Codemart developed the back-end software for the new website of Brain Simulation Section of Charité University Medicine in Berlin, Germany. This project is led by our longtime design partner two tribes in Stuttgart, Germany. The back-end software is based on the Zwei framework Codemart has been co-developing with two tribes for many years. This website features:Zwei content management UIExtensive

Codemart is one of 17 European research partners forming a consortium dubbed "The VirtualBrainCloud", led by the Brain Simulation Section of Charité University medicine in Berlin, Germany. The main goal is to create a cloud-based brain simulation platform that integrates data from many centers and in the future can serve as clinical decision engine for patients with neurodegenerative disease. The