Overview Of Wallaroo Access Controls By User Types

  • Give transparency into the ongoing performance of models to data scientists
  • Provide a clear way of communicating to data scientists and ML engineers that a model has started to drift
  • Make it easy to deploy a new version of a model and undeploy an outdated version without interrupting the business
  • Allow data scientists to test various models against each other to see which performs best in live conditions.
  1. The Admin provides the infrastructure and tooling for platform users to use. Their main concern is managing resource usage, costs, and security while enabling business teams to get their jobs done.
  2. Data Scientists are focused on finding patterns in the data to build a predictive model solving a specific business problem like: what is best route for my delivery to take? How can I automate quality control at each step of the manufacturing process? Who are my most valuable customers?
  3. ML Engineers take the models built by data scientists (usually in the form of a notebook) and get them live into production for use by the business.
Table 1: Responsibilities by ModelOps persona
  • Install/uninstall Wallaroo in the admin console
  • User management (create/update/delete/reset users)
  • Manage user entitlements
  • Workspace management and administration (Create/Update/Delete workspaces)
  • Can see all workspaces/models/pipelines
  • Has full read/write permissions on models and pipelines in all workspaces
  • Collaborator management (add/remove/promote/demote collaborators)
  • Can see only workspaces assigned to them
  • Can configure specific workspace connections or integrations (data connectors for data store access within a workspace or compute resource allocations for a workspace)
  • Has full read/write permissions on models and pipelines in their workspaces
  • Can see other collaborators
  • Cannot manage (add/remove/promote/demote) collaborators
  • Cannot create other workspaces
  • Can see only workspaces assigned to them
  • Can manage specific models in the workspace

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Wallaroo

Wallaroo

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Wallaroo enables data scientists and ML engineers to deploy enterprise-level AI into production simpler, faster, and with incredible efficiency.