Closed dalbhanj closed 3 years ago
Not sure why there's so many diffs. Checked notebooks and it looks good to me.
Not sure why there's so many diffs. Checked notebooks and it looks good to me.
Thanks @dalbhanj for the fix
import random, string HASH = ''.join([random.choice(string.ascii_lowercase) for n in range(3)] + [random.choice(string.digits) for n in range(3)]) AWS_REGION = 'us-west-2' S3_BUCKET = '{}-kubeflow-pipeline-data'.format(HASH) !aws s3 mb s3://$S3_BUCKET --region $AWS_REGION
make_bucket failed: s3://XXX-data An error occurred (AccessDenied) when calling the CreateBucket operation: Access Denied
facing this error while creating an S3 bucket to store pipeline data
@swarnaditya can you please open new issues on EKS workshop (https://github.com/aws-samples/eks-workshop/issues)? We inherit some permissions from Fairing chapter (where we apply S3 permissions) into this chapter (https://www.eksworkshop.com/advanced/420_kubeflow/fairing/#assign-s3-and-ecr-permissions).
checked both are AmazonS3FullAccess & AmazonEC2ContainerRegistryFullAccess both permission are there.
Can you create an issue on eksworkshop and tag me?
Issue #, if available:https://github.com/aws-samples/eks-kubeflow-workshop/issues/70
Description of changes: I was getting an error while executing kfp run with Sagemaker notebook. Its possible that the latest kfp sdk has breaking changes that affects this run. Pinning to specific kfp version (v0.1.29) fixes the issue
See https://github.com/aws-samples/eks-kubeflow-workshop/issues/70 for more details
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