pipelines: s3 Access error for visualizations
What steps did you take:
Followed the steps from https://www.kubeflow.org/docs/aws/pipeline/#support-s3-artifact-store
What happened:
- receive a s3 access error
What did you expect to happen:
See a markdown in the visualizations tab
Environment:
my ml-pipeline-ui deployment:
my secrets (base64)
I can even confirm that the ml-pipeline-ui has the correct env variables by jumping into its terminal:
And finally these keys are valid for pulling and pushing to s3.
How did you deploy Kubeflow Pipelines (KFP)?
https://www.kubeflow.org/docs/aws/aws-e2e/
KFP version: 1.0.0
KFP SDK version:
kfp 1.0.0
kfp-server-api 1.0.0
Anything else you would like to add:
[Miscellaneous information that will assist in solving the issue.]
/kind bug
About this issue
- Original URL
- State: closed
- Created 4 years ago
- Comments: 18 (8 by maintainers)
specifically for the viz, the
ml-pipeline-uipod must have access rights to the S3 bucket.There are few ways to do it:
I maintain a community repo for pipelines on AWS - u can refer https://github.com/e2fyi/kubeflow-aws/tree/master/pipelines on the finer details on how to config for S3.
@PatrickXYS Yeah I can do that.
/assign @PatrickXYS @Jeffwan