Picture a data scientist trying to train a model on a shared cluster while ops wrestle with access policies. Buckets, PVCs, service tokens—everyone’s stepping on each other’s toes. Domino Data Lab Rook promises to bring some order to that chaos. And when used well, it does exactly that.
At its core, Domino Data Lab gives organizations a secure, governed environment for data science at scale. Rook, on the other hand, handles distributed storage in Kubernetes. Together, they form a backbone that keeps compute elastic and data reliable. Rook abstracts Ceph clusters into something Kubernetes can manage natively, while Domino orchestrates user workloads and ensures they land where resources are free.
How the integration flows
When you integrate Rook with Domino, you bind Domino’s workspace volumes to Rook-managed storage pools. That means the data scientists spin up environments that automatically mount durable, shared volumes with the right read-write permissions. Identity and access rules pass through Kubernetes namespaces, so each project gets isolated storage without manual configuration.
Use your corporate identity provider—Okta, Azure AD, or any OIDC-compliant system—to authenticate users once, then let Domino handle workload scheduling. Rook’s operator keeps storage healthy and replicated behind the scenes. It’s the quiet part that makes the noisy part possible.
Best practices that keep engineers sane
Start small: one pool per team. Stick to simple storage classes before layering in quotas or erasure coding. Run Rook’s toolbox commands regularly to check cluster health. And tie your storage usage dashboards to the same monitoring stack you use for Domino nodes. It’s easier to explain capacity numbers when they come from a single source of truth.