Data security is a paramount concern, demanding impenetrable safeguards. This article delves into the significance of harnessing the power of Google's Virtual Private Network Security Controls. Discover how to deploy this cutting-edge solution to fortify API access restrictions for Google Cloud NetApp Volumes which along with other security mechanisms ensures an impregnable fortress for your valuable data.
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AI requires scalable, accessible, and efficient data management; but many enterprises struggle to manage data seamlessly across hybrid and multi-cloud environments. The latest integration of Domino Volumes for NetApp ONTAP (DVNO) provides a solution – enabling rapid access to data across environments without DevOps overhead and reducing costs and processing times by up to 50%.
How? Domino’s first-party integration with NetApp’s intelligent data infrastructure doubles read performance and GPU throughput over previous configurations. For resource-intensive AI use cases requiring distributed GPU training, like computer vision and LLM training/fine-tuning, Domino customers can now run GPUs for half as long.
Create DVNO Volumes from Domino
With Domino's new DVNO feature, users can create storage volumes powered by NetApp ONTAP and BlueXP. This allows data scientists to provision scalable storage volumes directly within the Domino interface without IT involvement or DevOps work. This capability is especially valuable for large enterprise data science teams, who need quick and reliable access to data without waiting for infrastructure provisioning. By simplifying the volume creation process, teams can reduce delays, allowing them to focus on experimenting and iterating faster.
Figures 1 and 2: Creating a Domino Volume for NetApp ONTAP (DVNO) from Domino’s platform
Collaborate and Control Access to DVNO Volumes from Domino
DVNO volumes can be shared directly with other users through Domino. Data scientists can share volumes across projects, enabling straightforward access to shared datasets. Sharing data in this manner is crucial for enterprise-scale collaboration, allowing different teams and stakeholders to access consistent, up-to-date datasets without duplication or manual data transfer. This not only improves collaboration but also reduces storage overhead and potential inconsistencies.
Figure 3: Data scientists have self-service access to attach shared data volumes to executions, accelerating iteration and innovation across the model lifecycle.
Monitor DVNO Volumes from Domino
DVNO provides straightforward access control, enabling IT administrators to monitor permissions and data usage effectively through secure, consistent management across all environments. Standard data access patterns for developers and API users ensure seamless access, so users can securely share, update, or restrict access to volumes, ensuring sensitive data remains protected.
For data science teams, this level of control is essential to maintain compliance and meet enterprise security requirements, while still allowing the flexibility needed to work efficiently. IT teams can ensure that only authorized users have access, minimizing the risk of data breaches.
Figure 4: Domino application admins can see a list of all DVNO volumes and metadata, such as size and who has access.
Enhance Data Organization with User and Project-based Storage Volumes
By empowering data scientists to self-manage ONTAP volumes, DVNO enables teams to create dedicated storage volumes tailored to specific users, projects, or workflows. This structure simplifies data organization and enhances data governance by isolating access to sensitive datasets.
For IT teams, the ability of data scientists to independently manage volumes reduces the provisioning and maintenance workload, freeing up valuable resources for strategic initiatives rather than day-to-day support. It also means that each project has its own space, minimizing the risk of data conflicts, reducing storage overhead, and ensuring that each team member can work with the most relevant, up-to-date data—improving both productivity and security.
Figure 5: IT admins can see a list of all DVNO volumes and metadata, such as size, in BlueXP.
Conclusion
The Domino and NetApp partnership continues to evolve with deeper integrations to enhance AI lifecycle management and productivity. Intelligent data mobility, optimized hybrid operations, and seamless access to critical data are now available through the Domino Volumes for NetApp ONTAP integration. This allows data science teams to focus on building models without being slowed by data bottlenecks. Stay tuned for more developments as we expand our AI infrastructure capabilities.
Ready to learn more? Check out the Domino Volumes for NetApp ONTAP demo, read Domino’s recent press release, and discover more insights at domino.ai/partners/netapp.
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For organizations that are invested in cloud and hybrid solutions, AWS re:Invent is one of the most important tech conferences to close out the year. NetApp is excited to participate and to share a few of the new solutions that our partnership with Amazon is bringing to market.
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