Managing the data deluge (exabytes) generated by worldwide large-scale scientific collaborations is a challenge.

The Rucio Data Management platform is an open-source framework written in Python engineered to orchestrate the storage, distribution, and management of massive data volumes across a globally distributed and heterogeneous storage infrastructure.

Rucio meets the requirements of high-energy physics, astrophysics, genomics, and beyond, pioneering new ways to facilitate research at the exabyte-scale and is used by major scientific experiments: the ATLAS and CMS experiments at CERN, Square Kilometer Array Observatory, Cherenkov Telescope Array, KM3NET and Belle II to name a few.

This presentation introduces the Rucio project and the technology behind it.