Case Study: University of Calgary reduces downtime and improves research productivity with Netdata

University of Calgary - Customer Case Study

The University of Calgary's Machine Learning Lab faced the challenge of manually monitoring its extensive server and workstation infrastructure, leading to difficulties in minimizing downtime and efficiently allocating computational resources for its machine learning research. This made it impractical to track critical metrics and ensure the lab's high-performance environment remained operational.

To address this, the lab implemented Netdata for real-time monitoring. The solution provided automated alerts for downtime and critical hardware issues, alongside detailed dashboards for GPU utilization. This resulted in a significant reduction in downtime from days to hours, improved resource planning for researchers, and prevented potential equipment failure, thereby enhancing overall productivity and operational efficiency.

University of Calgary

Yani Ioannou

Assistant Professor