Authorization (RBAC)

You can use HPE Machine Learning Data Management’s Role-Based Access Control (RBAC) model to configure authorization for your users. Users can be assigned roles that grant certain permissions for interacting with HPE Machine Learning Data Management’s resources.

Authorization Model

Users Types

User Type Prefix Description
clusterAdmin user
IdP User user Any user or group of users authenticated by your Identity Provider to access HPE Machine Learning Data Management.
Robot User robot A Service account used for third party applications/systems integrating with HPE Machine Learning Data Management APIs/Clients.
Pipeline User pipeline An internal Service Account used for Pipelines when interacting with HPE Machine Learning Data Management resources.
All Cluster Users A general subject that represents everyone who has logged in to a cluster.

Resource Types

Resource Type Description
Cluster A set of nodes for running containerized applications. Containers allow users to run repeatable and standardized code.
Project A project is a container of 1 or more DAGs that allows for users to organize their repos. Projects allow multiple teams to work in a cluster.
Repo A repository is where data is stored and contains both files and folders. Repos tracks all changes to the data and creates a history of data changes.

Role Types

Role Type Description
Cluster Roles Granted at the cluster level.
Project Roles Granted at the project level.
Repo Roles Granted at the repo level or at the cluster level.

License Expiration

When an Enterprise License expires, a HPE Machine Learning Data Management cluster with enabled User Access Management goes into an admin-only state. In this state, only ClusterAdmins have access to the data stored in HPE Machine Learning Data Management. This safety measure keeps sensitive data protected, even when an enterprise subscription becomes stale. To return the cluster to its previous state, run pachctl license activate and submit your new code.