google_vertex_ai_tensorboards resource

Use the google_vertex_ai_tensorboards InSpec audit resource to to test a Google Cloud Tensorboard resource.

Examples

    describe google_vertex_ai_tensorboards(parent: "projects/#{gcp_project_id}/locations/#{tensorboard['region']}", region: ' value_region') do
    it { should exist }
  end

Properties

Properties that can be accessed from the google_vertex_ai_tensorboards resource:

See google_vertex_ai_tensorboard for more detailed information.

• names: an array of google_vertex_ai_tensorboard name
• is_defaults: an array of google_vertex_ai_tensorboard is_default
• update_times: an array of google_vertex_ai_tensorboard update_time
• labels: an array of google_vertex_ai_tensorboard labels
• blob_storage_path_prefixes: an array of google_vertex_ai_tensorboard blob_storage_path_prefix
• etags: an array of google_vertex_ai_tensorboard etag
• create_times: an array of google_vertex_ai_tensorboard create_time
• run_counts: an array of google_vertex_ai_tensorboard run_count
• encryption_specs: an array of google_vertex_ai_tensorboard encryption_spec
• display_names: an array of google_vertex_ai_tensorboard display_name
• descriptions: an array of google_vertex_ai_tensorboard description

Filter criteria

This resource supports all of the above properties as filter criteria, which can be used with where as a block or a method.

GCP permissions