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Stable #81
Stable #81
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Signed-off-by: Helber Belmiro <helber.belmiro@gmail.com>
…fact UPSTREAM: <carry>: Bumped actions/upload-artifact to v4
Signed-off-by: hbelmiro <helber.belmiro@gmail.com> Signed-off-by: Helber Belmiro <helber.belmiro@gmail.com>
UPSTREAM: <carry>: Added support for TLS to MLMD GRPC Server
Signed-off-by: Helber Belmiro <helber.belmiro@gmail.com>
UPSTREAM: <carry>: Downgraded actions/upload-artifact to v3
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A set of new images have been built to help with testing out this PR: |
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 apiVersion: datasciencepipelinesapplications.opendatahub.io/v1alpha1
kind: DataSciencePipelinesApplication
metadata:
name: pr-81
spec:
dspVersion: v2
apiServer:
image: "quay.io/opendatahub/ds-pipelines-api-server:pr-81"
argoDriverImage: "quay.io/opendatahub/ds-pipelines-driver:pr-81"
argoLauncherImage: "quay.io/opendatahub/ds-pipelines-launcher:pr-81"
persistenceAgent:
image: "quay.io/opendatahub/ds-pipelines-persistenceagent:pr-81"
scheduledWorkflow:
image: "quay.io/opendatahub/ds-pipelines-scheduledworkflow:pr-81"
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-81"
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 git@github.com:opendatahub-io/data-science-pipelines.git
cd data-science-pipelines/
git fetch origin pull/81/head
git checkout -b pullrequest 93be5817ad7cf36a10373cc070866ef43edb3c4d
oc apply -f dspa.pr-81.yaml More instructions here on how to deploy and test a Data Science Pipelines Application. |
Update stable to v2.6.0
stable..v2.6.x changeset:
https://github.com/opendatahub-io/data-science-pipelines/compare/stable..v2.6.x