Platform Component: Enterprise Infrastructure Foundation

Enable Self-Service DevOps While Maintaining Enterprise Security and Control

Domino empowers data science teams with DevOps superpowers to orchestrate elastic scaling of workloads across all major cloud platforms and on-premises hardware. Forward-looking IT leaders can realize their vision of creating a modern enterprise data science infrastructure to support the agility that model-driven businesses require.

Provide Self-Service Access to Scalable Compute Resources

Provide Self-Service Access to Scalable Compute Resources

Enable Standards and Governance across Tools, Languages, and Teams

Enable Standards and Governance across Tools, Languages, and Teams

Keep up with the Latest Advances in Data Science

Keep up with the Latest Advances in Data Science

  • Add new tools and packages as soon as they become available, and manage updates easily
  • Provide instant access to distributed computing frameworks to scale experimentation capacity
  • Run SAS and MathWorks code and products seamlessly alongside other open-source tools
  • Share information with external systems to provide compatibility with existing processes
  • WHITE PAPER: Attention, CIOs: Do You Know Where Your Data Scientists Are?

Domino on Kubernetes gives our data science team the flexibility we need while offering peace of mind to our partners in IT. We can now run Domino across diverse infrastructure, including both on-premises and cloud-based environments, while also plugging into existing monitoring, logging, and enterprise security tools that our IT team knows and trusts. It’s a big step forward on the path to make Data Science a first-class citizen that’s aligned with Enterprise IT.

Joshua Cluff

Joshua Cluff

Data Science Operations Manager

National Oilwell Varco

Domino Data Lab Enterprise MLOps Platform | Customer stories

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