AMOLF

Overview

AMOLF conducts fundamental physics research where experiments generate data volumes that are impossible to forecast. Their existing storage estate could not keep pace: growth was unpredictable, budgets were fixed, and researchers needed instant access to both hot and archived datasets.

Unpredictable data growth made capacity planning nearly impossible. Every expansion meant a costly hardware cycle, while research data kept accumulating and archiving remained a manual, error-prone process.

We designed a tiered data management architecture built on Oracle storage: high-performance capacity for active experiments, automated tiering to low-cost archive layers, and clear data lifecycle policies so researchers keep instant access without paying premium storage prices for cold data.

AMOLF now scales storage in line with actual research demand instead of forecasts. Archiving runs automatically, storage costs per terabyte dropped sharply, and research teams no longer wait for capacity before starting an experiment.

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