[MKP/doc] Guideline needed for post-deployment setting about service account

kubeflow / pipelines

Machine Learning Pipelines for Kubeflow

https://www.kubeflow.org/docs/components/pipelines/

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[MKP/doc] Guideline needed for post-deployment setting about service account #2330

Closed numerology closed 5 years ago

numerology commented 5 years ago

Since we decided to remove service account credential from our MKP deploy page, the user will need to figure out how to correctly apply SA credential after deploying KFP themselves. A clear doc/guideline is needed for this.

Currently, we are planning two preload samples require additional permission to run.

XGboost sample, which requires dataproc permission
TFX-OSS sample, (see #2319), which requires GCS (storage) permission.

Current documentation regarding how to apply SA credential after deployment

numerology commented 5 years ago

cc @jessiezcc @gaoning777 @Bobgy

numerology commented 5 years ago

/close Fixed by https://github.com/kubeflow/pipelines/pull/2394 and other doc improvements as well.

k8s-ci-robot commented 5 years ago

@numerology: Closing this issue.

In response to [this](https://github.com/kubeflow/pipelines/issues/2330#issuecomment-545990498): >/close >Fixed by https://github.com/kubeflow/pipelines/pull/2394 >and other doc improvements as well. Instructions for interacting with me using PR comments are available [here](https://git.k8s.io/community/contributors/guide/pull-requests.md). If you have questions or suggestions related to my behavior, please file an issue against the [kubernetes/test-infra](https://github.com/kubernetes/test-infra/issues/new?title=Prow%20issue:) repository.