Tommy Li comments

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                                            Tommy Li

feat(Backend + SDK): Update kfp backend and kubernetes sdk to support ImagePullPolicy

/assign @chensun

Pipelines WG roadmap for KF 1.9

For the Tekton version, it will be Tekton 0.53.2 (OpenShift Pipelines 1.13)

move-all-results-to-tekton-home step doesn't work on openshift

we need to fix it without applying any scc, perhaps changing the tep-results directory to something already existed in tekton https://github.com/kubeflow/kfp-tekton/commit/faa409aa6144647d035c1ac0c58776eafa1f4787#diff-4997a24a11eaa0fad3d0d8bb03802d5e95ad182dbad99a7733447886c5d4da29R102

Tekton V2 compiler: gather user data on how the exit handler should represent

/help

Tekton V2 compiler: gather user data on how the exit handler should represent

fyi @yhwang

feat(backend): Update tekton to 0.56.0

/hold there's a chained deps from knative issue. Need to ping and work around on the dependencies.

load pipeline from yaml

In KFP V1, a component is only mapped to a containerOp. KFP V2 introduced graph components where you can load a compiled V2 IR into a KFP component. This is...

load pipeline from yaml

Components like KServe are just a simple containerOp which you can load it with KFP V1 `kfp.components.load_component_from_file` https://github.com/kubeflow/pipelines/blob/master/components/kserve/component.yaml

Nested pipelines

Hi @OmriLevyTau, in KFP v1, nested pipelines are simply embedded the pipeline into another pipeline. It doesn't create a subdag like in KFP V2. This applies to both Argo and...

Investigate new ways and reimplement get run apis to return a condensed version of the pipeline

/assign