In our version 1.1.0 introductory post, we described how the new per Storage Class ownership and permissions configuration feature works in the BeeGFS CSI driver. While this feature is certainly useful on its own, one of its primary motivations was enabling BeeGFS...
The initial release of the BeeGFS CSI driver included everything necessary to get started using BeeGFS in Kubernetes, but it left room for improvement in a couple of key areas. The 1.1.0 version (available now) has some important enhancements: A robust set of...
Starting in v1.2.1 the NetApp Data Science Toolkit (DSTK) for Kubernetes officially supports BeeGFS. While some parallel file systems get a bad reputation for being overly complicated to manage, BeeGFS was designed to deliver a simpler experience without compromising...
A data scientist will often modify their training dataset many times as they iterate through different training runs, using different normalization techniques, hyperparameters, etc. This can become a problem if the data scientist ever needs to revert back to a...
The NetApp Data Science Toolkit is a Python program that makes it simple for data scientists and data engineers to perform advanced data management tasks. This Python program can function as either a command line utility or a library of functions that can be imported...
Jupyter Notebook is an open source web application targeted towards data scientists and data engineers that enables users to create wiki-like documents, called notebooks, that contain blocks of live code paired with descriptive text. These code blocks can be executed...
