Case Study: German Research Center for Artificial Intelligence achieves efficient long-term metric storage with VictoriaMetrics

German Research Center for Artificial Intelligence (DFKI). Long Term Storage of Machine & Job-related Metrics in a Slurm Cluster with VictoriaMetrics

The German Research Center for Artificial Intelligence (DFKI) faced a challenge when consolidating its hardware into a central Slurm cluster. They needed a long-term, on-premise metric storage solution to extend their Prometheus retention period to several years for research purposes, requiring strong compression and extreme space efficiency.

VictoriaMetrics was chosen as the solution and delivered measurably superior results. It consumed a third of the storage and used considerably less CPU and RAM than Prometheus. The implementation was hassle-free, included a painless migration, and now supports a high-availability setup, giving DFKI confidence in its long-term performance.

German Research Center for Artificial Intelligence