gcp Google Cloud release notes ·

GCP Agent Platform Workbench Enhances Scheduled Notebook Run Options

mlgcpgadata-scientist
feature

GCP's Agent Platform Workbench now provides enhanced configuration options for scheduled notebook runs. Users can specify an execution identity, choosing their user account over a service account for resource access, and enable Shielded VM options for verified boot integrity. Custom runtime environments, including specific VM images or containers, can also be configured to ensure consistent dependencies with interactive environments. These updates improve security, compliance, and flexibility for data scientists and engineers, requiring scheduler-jupyter-plugin version 0.1.8 or later.

Features (1)
  • Agent Platform Workbench New configuration options for scheduled notebook runs

    New configuration options for scheduled notebook runs When you schedule a notebook run from an Agent Platform Workbench instance, you can now configure the following: Execution identity. You can choose your own user account instead of a service account. The notebook runs as you, so Application Default Credentials inside the notebook resolve to your identity and the run accesses only the resources you can access. If you have not yet granted consent, the scheduler provides a link for authorizing access. Shielded VM options. To meet workload requirements that mandate verified boot integrity, you

Read the original announcement →

https://docs.cloud.google.com/release-notes#September_09_2026

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