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when running the sample pipeline "[Demo] XGBoost - Iterative model training", a bug occurred: failed to create new S3 client: Endpoint: $(kfp-artifact-storage-endpoint) does not follow ip address or domain name standards
all pods are still running.
How can I fix that?
The text was updated successfully, but these errors were encountered:
That fixed it, and I also finally figured out I needed to configure the run parameters with: pipeline-root = minio://bucketName/ where bucketName is the value we entered in the awsconfigs/apps/pipeline/s3/params.env file
Describe the bug
I deployed RDS + s3 option.
Follow the doc to verify s3: https://awslabs.github.io/kubeflow-manifests/docs/deployment/rds-s3/guide/#42-verify-s3
when running the sample pipeline "[Demo] XGBoost - Iterative model training", a bug occurred: failed to create new S3 client: Endpoint: $(kfp-artifact-storage-endpoint) does not follow ip address or domain name standards
all pods are still running.

How can I fix that?
The text was updated successfully, but these errors were encountered: