GCP Vertex AI

Control-M for GCP Vertex AI enables you to do the following:

• Run GCP Vertex AI pipelines.
• Control the state of GCP notebooks.
• Manage GCP Vertex AI credentials in a secure connection profile.
• Connect to any GCP Vertex AI endpoint.
• Introduce all Control-M capabilities to Control-M for GCP Vertex AI, including advanced scheduling criteria, complex dependencies, resource pools, lock resources, and variables.
• Integrate GCP Vertex AI jobs with other Control-M jobs into a single scheduling environment.
• Monitor the status, results, and output of GCP Vertex AI jobs.
• Attach an SLA job to the GCP Vertex AI jobs.

Control-M integration for GCP Vertex AI is available for these product versions:

• Control-M 22.000 and later
• Control-M SaaS 22 and later

Supporting Documentation

Integrating GCP Vertex AI and Control-M

Control-M SaaS for GCP Vertex AI