upgrade minio to v7

[HumairAK]

(cherry picked from commit a30e9ea)

[openshift-ci]

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[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-187
DSP DRIVER: quay.io/opendatahub/ds-pipelines-driver:pr-187
DSP LAUNCHER: quay.io/opendatahub/ds-pipelines-launcher:pr-187
Persistence Agent: quay.io/opendatahub/ds-pipelines-persistenceagent:pr-187
Scheduled Workflow Manager: quay.io/opendatahub/ds-pipelines-scheduledworkflow:pr-187
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-187

[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-187.yaml:

apiVersion: datasciencepipelinesapplications.opendatahub.io/v1alpha1
kind: DataSciencePipelinesApplication
metadata:
  name: pr-187
spec:
  dspVersion: v2
  apiServer:
    image: "quay.io/opendatahub/ds-pipelines-api-server:pr-187"
    argoDriverImage: "quay.io/opendatahub/ds-pipelines-driver:pr-187"
    argoLauncherImage: "quay.io/opendatahub/ds-pipelines-launcher:pr-187"
  persistenceAgent:
    image: "quay.io/opendatahub/ds-pipelines-persistenceagent:pr-187"
  scheduledWorkflow:
    image: "quay.io/opendatahub/ds-pipelines-scheduledworkflow:pr-187"
  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-187"
  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/187/head
git checkout -b pullrequest c1aeed40a63741d929257e32a5391e735112b1a7
oc apply -f dspa.pr-187.yaml

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