UPSTREAM: <carry>: upgrade x/net

[HumairAK]

No description provided.

[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 1 commits between 028d903889f2de5d7e0ac27be001f9523a3a126e...62a854db6d06300a5c732e68589fb7a5b65fddd0

[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-83
DSP DRIVER: quay.io/opendatahub/ds-pipelines-driver:pr-83
DSP LAUNCHER: quay.io/opendatahub/ds-pipelines-launcher:pr-83
Persistence Agent: quay.io/opendatahub/ds-pipelines-persistenceagent:pr-83
Scheduled Workflow Manager: quay.io/opendatahub/ds-pipelines-scheduledworkflow:pr-83
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-83

[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-83.yaml:

apiVersion: datasciencepipelinesapplications.opendatahub.io/v1alpha1
kind: DataSciencePipelinesApplication
metadata:
  name: pr-83
spec:
  dspVersion: v2
  apiServer:
    image: "quay.io/opendatahub/ds-pipelines-api-server:pr-83"
    argoDriverImage: "quay.io/opendatahub/ds-pipelines-driver:pr-83"
    argoLauncherImage: "quay.io/opendatahub/ds-pipelines-launcher:pr-83"
  persistenceAgent:
    image: "quay.io/opendatahub/ds-pipelines-persistenceagent:pr-83"
  scheduledWorkflow:
    image: "quay.io/opendatahub/ds-pipelines-scheduledworkflow:pr-83"
  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-83"
  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/83/head
git checkout -b pullrequest 62a854db6d06300a5c732e68589fb7a5b65fddd0
oc apply -f dspa.pr-83.yaml

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

[DharmitD]

/lgtm

[openshift-ci]

[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: gmfrasca

The full list of commands accepted by this bot can be found here.

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• OWNERS [gmfrasca]

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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 af760e3d073519c8cc7f1791950ac0c39c26b739...62a854db6d06300a5c732e68589fb7a5b65fddd0