"At CTrees, we create machine learning models that integrate multiple data sources to produce high-resolution, time-series datasets on forest carbon and activity. We faced the all-too-familiar chaos of manual and ad-hoc dataset versioning, inconsistent folder structures, and directories packed with thousands of tiny GeoTIFFs. Transitioning to Arraylake enabled structured, versioned cloud-native datacube access. As a bonus, Flux makes it easy to view the data via a WMS service, streamlining the visualization process for both internal users and external stakeholders."