google_vertex_ai_pipeline_jobs resource

Use the google_vertex_ai_pipeline_jobs InSpec audit resource to to test a Google Cloud PipelineJob resource.

Examples

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

Properties

Properties that can be accessed from the google_vertex_ai_pipeline_jobs resource:

See google_vertex_ai_pipeline_job for more detailed information.

• encryption_specs: an array of google_vertex_ai_pipeline_job encryption_spec
• end_times: an array of google_vertex_ai_pipeline_job end_time
• errors: an array of google_vertex_ai_pipeline_job error
• update_times: an array of google_vertex_ai_pipeline_job update_time
• job_details: an array of google_vertex_ai_pipeline_job job_detail
• template_metadata: an array of google_vertex_ai_pipeline_job template_metadata
• states: an array of google_vertex_ai_pipeline_job state
• create_times: an array of google_vertex_ai_pipeline_job create_time
• names: an array of google_vertex_ai_pipeline_job name
• schedule_names: an array of google_vertex_ai_pipeline_job schedule_name
• reserved_ip_ranges: an array of google_vertex_ai_pipeline_job reserved_ip_ranges
• start_times: an array of google_vertex_ai_pipeline_job start_time
• service_accounts: an array of google_vertex_ai_pipeline_job service_account
• display_names: an array of google_vertex_ai_pipeline_job display_name
• template_uris: an array of google_vertex_ai_pipeline_job template_uri
• pipeline_specs: an array of google_vertex_ai_pipeline_job pipeline_spec
• networks: an array of google_vertex_ai_pipeline_job network
• labels: an array of google_vertex_ai_pipeline_job labels
• runtime_configs: an array of google_vertex_ai_pipeline_job runtime_config

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