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Automated: Migrate {target_path} from gsutil to gcloud storage

This CL is part of the on going effort to migrate from the legacy gsutil tool to the new and improved gcloud storage command-line interface.
gcloud storage is the recommended and modern tool for interacting with Google Cloud Storage, offering better performance, unified authentication, and a more consistent command structure with other gcloud components. 🚀

Automation Details

This change was generated automatically by an agent that targets users of gsutil.
The transformations applied are based on the gsutil to gcloud storage migration guide.

⚠️ Action Required: Please Review and Test Carefully

While we have based the automation on the migration guide, every use case is unique.
It is crucial that you thoroughly test these changes in environments appropriate to your use-case before merging.
Be aware of potential differences between gsutil and gcloud storage that could impact your workflows.
For instance, the structure of command output may have changed, requiring updates to any scripts that parse it. Similarly, command behavior can differ subtly; the gcloud storage rsync command has a different file deletion logic than gsutil rsync, which could lead to unintended file deletions.

Our migration guides can help guide you through a list of mappings and some notable differences between the two tools.

Standard presubmit tests are run as part of this CL's workflow. If you need to target an additional test workflow or require assistance with testing, please let us know.

Please verify that all your Cloud Storage operations continue to work as expected to avoid any potential disruptions in production.

Support and Collaboration

The GCS CLI team is here to help! If you encounter any issues, have a complex use case that this automated change doesn't cover, or face any other blockers, please don't hesitate to reach out.
We are happy to work with you to test and adjust these changes as needed.

Contact: [email protected]

We appreciate your partnership in this important migration effort!

#gsutil-migration

@bhandarivijay-png bhandarivijay-png requested review from a team as code owners January 9, 2026 09:16
@bhandarivijay-png
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Hi @6719667+leahecole, Can we get your review on this PR? Thanks!

@product-auto-label product-auto-label bot added samples Issues that are directly related to samples. api: notebooks Issues related to the Vertex AI Workbench API. labels Jan 9, 2026
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Summary of Changes

Hello @bhandarivijay-png, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request systematically migrates all instances of gsutil commands to gcloud storage commands within two Jupyter notebooks: Training and prediction with scikit-learn.ipynb and Storage command-line tool.ipynb. This automated update aligns the tutorials with Google Cloud's recommended command-line interface for interacting with Cloud Storage, offering improved performance and consistent authentication. The changes ensure that all cloud storage operations demonstrated in these notebooks now leverage the modern gcloud storage CLI.

Highlights

  • Migration to gcloud storage: All gsutil commands in the affected Jupyter notebooks have been migrated to their gcloud storage equivalents, aligning with the recommended modern tool for Google Cloud Storage interactions.
  • Automated Transformation: This change was automatically generated by an agent, applying transformations based on the official gsutil to gcloud storage migration guide.
  • Tutorial Updates: The changes ensure that the cloud-ml-engine and storage tutorials now use the gcloud storage CLI for bucket creation, listing, copying, and deletion operations.
  • Migration Caveats: A specific note has been added for the gsutil help command, indicating that a direct gcloud storage migration is not implemented for it, prompting users to refer to the migration guide.
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Code Review

This pull request contains automated migrations from gsutil to gcloud storage commands within two Jupyter notebooks. The changes are largely correct and follow the migration guide. However, I've identified one instance where an incorrect command was generated for creating a storage bucket, which will lead to a runtime error. I've provided a specific comment and suggestion to address this issue.

"outputs": [],
"source": [
"!gsutil mb gs://{bucket_name}/"
"!gcloud storage buckets create gs://{bucket_name}/"
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high

The gcloud storage buckets create command does not accept a trailing slash in the bucket URL. This will cause the command to fail. Please remove the trailing slash.

Note that the automated migration handled this correctly in notebooks/tutorials/cloud-ml-engine/Training and prediction with scikit-learn.ipynb, but was inconsistent here.

Suggested change
"!gcloud storage buckets create gs://{bucket_name}/"
"!gcloud storage buckets create gs://{bucket_name}"

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