Cherry-pick of RHOAIENG-14265

[hbelmiro]

No description provided.

[openshift-ci]

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[dsp-developers]

Commit Checker results:

**NOTE**: These are the results of the commit checker scans. 
If these are not commits from upstream kfp, then please ensure
you adhere to the commit checker formatting

commitchecker verson unknown
Validating 0 commits between d9ec34e3a0413201b529f808370bbc5d534f2a54...ac5e28b1d475115f1a680e1e835496a4a2990575

[dsp-developers]

A set of new images have been built to help with testing out this PR:
API Server: quay.io/opendatahub/ds-pipelines-api-server:pr-126
DSP DRIVER: quay.io/opendatahub/ds-pipelines-driver:pr-126
DSP LAUNCHER: quay.io/opendatahub/ds-pipelines-launcher:pr-126
Persistence Agent: quay.io/opendatahub/ds-pipelines-persistenceagent:pr-126
Scheduled Workflow Manager: quay.io/opendatahub/ds-pipelines-scheduledworkflow:pr-126
MLMD Server: quay.io/opendatahub/mlmd-grpc-server:latest
MLMD Envoy Proxy: registry.redhat.io/openshift-service-mesh/proxyv2-rhel8:2.3.9-2
UI: quay.io/opendatahub/ds-pipelines-frontend:pr-126

[dsp-developers]

An OCP cluster where you are logged in as cluster admin is required.

The Data Science Pipelines team recommends testing this using the Data Science Pipelines Operator. Check here for more information on using the DSPO.

To use and deploy a DSP stack with these images (assuming the DSPO is deployed), first save the following YAML to a file named dspa.pr-126.yaml:

apiVersion: datasciencepipelinesapplications.opendatahub.io/v1alpha1
kind: DataSciencePipelinesApplication
metadata:
  name: pr-126
spec:
  dspVersion: v2
  apiServer:
    image: "quay.io/opendatahub/ds-pipelines-api-server:pr-126"
    argoDriverImage: "quay.io/opendatahub/ds-pipelines-driver:pr-126"
    argoLauncherImage: "quay.io/opendatahub/ds-pipelines-launcher:pr-126"
  persistenceAgent:
    image: "quay.io/opendatahub/ds-pipelines-persistenceagent:pr-126"
  scheduledWorkflow:
    image: "quay.io/opendatahub/ds-pipelines-scheduledworkflow:pr-126"
  mlmd:  
    deploy: true  # Optional component
    grpc:
      image: "quay.io/opendatahub/mlmd-grpc-server:latest"
    envoy:
      image: "registry.redhat.io/openshift-service-mesh/proxyv2-rhel8:2.3.9-2"
  mlpipelineUI:
    deploy: true  # Optional component 
    image: "quay.io/opendatahub/ds-pipelines-frontend:pr-126"
  objectStorage:
    minio:
      deploy: true
      image: 'quay.io/opendatahub/minio:RELEASE.2019-08-14T20-37-41Z-license-compliance'

Then run the following:

cd $(mktemp -d)
git clone [email protected]:opendatahub-io/data-science-pipelines.git
cd data-science-pipelines/
git fetch origin pull/126/head
git checkout -b pullrequest ac5e28b1d475115f1a680e1e835496a4a2990575
oc apply -f dspa.pr-126.yaml

More instructions here on how to deploy and test a Data Science Pipelines Application.

[dsp-developers]

Commit Checker results:

**NOTE**: These are the results of the commit checker scans. 
If these are not commits from upstream kfp, then please ensure
you adhere to the commit checker formatting

commitchecker verson unknown
Validating 0 commits between d9ec34e3a0413201b529f808370bbc5d534f2a54...ac5e28b1d475115f1a680e1e835496a4a2990575