-
Story
-
Resolution: Done
-
Undefined
-
None
-
2
-
False
-
None
-
False
-
Testable
-
No
-
-
-
-
-
-
-
1.25.0
-
No
-
RHODS Operator will now deploy Data Science Pipelines Operator back end, allowing OCP users with edit, admin, or more privileged roles to deploy Data Science Pipelines Applications via OCP console or api.
-
No
-
Yes
-
None
-
-
-
ML Ops Sprint 1.25
For this task, we need to add a kfdef to the ODH Deployer script to deploy when RHODs is being provisioned. The operator should likely be deployed within the redhat-ods-applications namespace.
- is blocked by
-
RHODS-7501 Add architecture diagram, sops doc for DSPO integration into RHODs
- Closed
-
RHODS-6926 Add DSP Operator deployment resources to odh-manifests (upstream + downstream) along with readme
- Closed
-
RHODS-7399 Rename DSPO Custom Resource to DataSciencePipelinesApplication
- Closed
-
RHODS-7400 Add Oauth Proxy to API Server
- Closed
-
RHODS-7415 DSPO default images for upstream should use images from opendatahub
- Closed
-
RHODS-7418 Replace Busy Box default image with ubi-micro in DSPO
- Closed
-
RHODS-7500 Onboard DSPO to QE
- Closed
-
RHODS-7732 Run a performance tests that simulates the dev sandbox with DSPO
- Closed
-
RHODS-7506 Figure out what SRE requirements need to met by DSPO/DSP for dspo rhods integration
- Closed
- links to
- mentioned on