NetApp DataOps Toolkit for Traditional Environments:

• Add new "create flexcache" operation.
• Add support for Google Cloud NetApp Volumes.
• Modification to store cluster credentials using OS credential manager instead of config file.
• Refactored console logging functionality.

NetApp DataOps Toolkit for Kubernetes:

• Add new "create flexcache" operation in the Kubernetes toolkit.
• Refactored console logging functionality.

• Add MCP servers.
• Add return values for "Create Snapshot" functions.
• Add support for Python 3.13.

NetApp DataOps Toolkit for Kubernetes:

• Remove Astra Control integration. Note: Going forward, please use the Astra Control UI, API, or Python SDK (https://github.com/NetApp/netapp-astra-toolkits) to automate Astra Control functionality.
• Update VolumeSnapshot API version to v1 (see issue: #24).

NetApp DataOps Toolkit for Traditional environments:

• Add ability to create a SnapLock volume.
• Add ability to specify custom mount options.

NetApp DataOps Toolkit for Kubernetes

• Custom resources (for example, NVIDIA MIG instances) can now be allocated to JupyterLab workspaces and NVIDIA Triton Inference Server instances (see '-r, --allocate-resource=' option).
• JupyterLab workspaces are now compatible with NVIDIA NGC container images.
• Default container image for JupyterLab workspaces changed to NVIDIA NGC TensorFlow image ('nvcr.io/nvidia/tensorflow:22.05-tf2-py3').

NetApp DataOps Toolkit for Traditional Environments

No changes.

NetApp DataOps Toolkit for Kubernetes:

• NVIDIA Triton Inference Server management functionality – the toolkit can be used to deploy, list, and delete NVIDIA Triton Inference Server instances that utilize NetApp volumes for their model repositories.
• CLI interface for the Kubernetes-based data mover library (that can move data between Kubernetes-native file/block volumes and S3-compliant object storage platforms).
• A few minor bugfixes.

NetApp DataOps Toolkit for Traditional environments:

• Ability to clone volumes across different SVMs.
• Ability to specify snapshot retention limits.
• Ability to create new SnapMirror relationships.
• Ability to specify FabricPool tiering policy for new volumes.
• New options for overriding various default values.

NetApp DataOps Toolkit for Kubernetes

New capabilities:

• Data mover functionality that can be utilized to move data between S3-compliant object storage platforms and Kubernetes PVCs.

General enhancements:

• Ability to mount an auxiliary PVC when creating a JupyterLab workspace ('mount_pvc' option).

NetApp DataOps Toolkit for Traditional Environments

No changes.

NetApp DataOps Toolkit for Kubernetes

Bugfixes:

• Removed PyPI prerequisite version requirements that inadvertently caused incompatibility with Python 3.6.

NetApp DataOps Toolkit for Traditional Environments

No changes.

NetApp DataOps Toolkit for Kubernetes

Added new functionality relating to managing JupyterLab workspaces using Astra Control:

• New operation: "clone JupyterLab workspace to new namespace using Astra Control"
• New operation: "backup JupyterLab workspace using Astra Control"
• New operation: "register JupyterLab workspace with Astra Control"
• Enhance "list JupyterLab workspace" operation to include Astra Control app ID
• Enhance "create JupyterLab workspace" operation: Add option to register JupyterLab workspace with Astra Control as part of create operation

General enhancements:

• JupyterLab workspaces can now be exposed via a load balancer service on Kubernetes.

NetApp DataOps Toolkit for Traditional Environments

General enhancements:

• Volumes can now be "exported" at custom NFS junction paths. This will enable "automatic mounting" workflows for users who don’t have root permissions and, thus, can’t run mount commands.
• Volumes can now be unmounted using the toolkit. Users no longer need to run a separate unmount command.
• Volumes can now be mounted as read-only.

NetApp DataOps Toolkit for Kubernetes:

• The toolkit can now be installed with pip.
• The toolkit was renamed to the 'NetApp DataOps Toolkit for Kubernetes'.
• Fixed bug relating to create jupyterlab function/operation on OpenShift that had appeared when using newer versions of the standard Jupyter container images.

NetApp DataOps Toolkit for Traditional Environments:

• The toolkit can now be installed with pip.
• The toolkit can now be used to generate a report on storage space usage (enhancement to list volumes function/operation).
• The toolkit was renamed to the 'NetApp DataOps Toolkit for Traditional Environments'.

NetApp Data Science Toolkit for Kubernetes:

• Add documentation indicating support for OpenShift (versions 4.4 and above).