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Update to include limitations and integrations (kubeflow#1047)
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abhi-g authored and k8s-ci-robot committed Aug 8, 2019
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## Current Integration and Limitations

The Jupyter notebooks service is the first application to be fully integrated with
multi-user isolation. Access to the notebooks and the creation of notebooks is
controlled by the profile access policies set by the Administrator or the owners
of the profiles. Resources created by the notebooks (eg. Training jobs and
deployments) will also inherit the same access.

Metadata and Pipelines or any other applications currently don't have full
fledged integration with isolation, though they will have access to the user
identity through the headers of the incoming requests. It's upto the individual
applications to leverage the available identity and create isolation stories
that make sense for them.

On GCP, the authentication and identify token is generated by GCP IAM and carried
through the requests as a JWT Token in header. Other cloud providers can have a
similar header to provide identity information.

For on-premise deployments, Kubeflow leverages Dex as a federated OpenID connection
provider and can be integrated with LDAP or Active Directory to provide authentication
and identity services.




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