[Feature Request]: Upgrade to v1.7 kfp-tekton

[HumairAK]

Feature description

This issue tracks all issues required to upgrade to kfp-tekton 1.7

Issues:

• https://github.com/opendatahub-io/data-science-pipelines/issues/116
• [Feature Request]: Add DB and ObjStore Connection metadata env vars to Persistence Agent data-science-pipelines-operator#242
• [Feature Request]: Mount config directory and use in Persistence Agent Deployment data-science-pipelines-operator#241
• [Feature Request]: Update readiness/liveness checks to use v1 API data-science-pipelines-operator#240

Note
1.7 Requires tekton 0.47. This is introduced in OCP Pipeline 1.11. The earliest OCP adoption for this is 4.12. Which means We have to wait until OCP EOL's 4.11 before proceeding with this change.

Some additional commits that may need to be backported for 1.7 from upstream:

• https://github.com/opendatahub-io/data-science-pipelines/pull/125 (only need substitution commit, not ee3cf4a)
• feat(backend): Source ObjStore Creds from Env in Tekton Template kubeflow/kfp-tekton#1259

References:
[1] https://docs.openshift.com/container-platform/4.13/cicd/pipelines/op-release-notes.html
[2] https://github.com/kubeflow/kfp-tekton/tree/v1.6.6/sdk#project-prerequisites
[3] https://access.redhat.com/support/policy/updates/openshift#dates

[gmfrasca]

We need to do #120 first, and this will also depend on getting to a minimum supported openshift version that supports OpenShift Pipelines Operator with a sufficient Tekton engine (may not even be released yet). This will likely be on hold for a while until then.

[gregsheremeta]

Migrated to Jira: https://issues.redhat.com/browse/RHOAIENG-1614