google_vertex_ai_schedules resource

Use the google_vertex_ai_schedules InSpec audit resource to to test a Google Cloud Schedule resource.

Examples

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

Properties

Properties that can be accessed from the google_vertex_ai_schedules resource:

See google_vertex_ai_schedule for more detailed information.

• started_run_counts: an array of google_vertex_ai_schedule started_run_count
• allow_queueings: an array of google_vertex_ai_schedule allow_queueing
• names: an array of google_vertex_ai_schedule name
• crons: an array of google_vertex_ai_schedule cron
• last_pause_times: an array of google_vertex_ai_schedule last_pause_time
• create_times: an array of google_vertex_ai_schedule create_time
• start_times: an array of google_vertex_ai_schedule start_time
• max_run_counts: an array of google_vertex_ai_schedule max_run_count
• next_run_times: an array of google_vertex_ai_schedule next_run_time
• update_times: an array of google_vertex_ai_schedule update_time
• last_scheduled_run_responses: an array of google_vertex_ai_schedule last_scheduled_run_response
• last_resume_times: an array of google_vertex_ai_schedule last_resume_time
• max_concurrent_run_counts: an array of google_vertex_ai_schedule max_concurrent_run_count
• states: an array of google_vertex_ai_schedule state
• create_pipeline_job_requests: an array of google_vertex_ai_schedule create_pipeline_job_request
• display_names: an array of google_vertex_ai_schedule display_name
• catch_ups: an array of google_vertex_ai_schedule catch_up
• end_times: an array of google_vertex_ai_schedule end_time

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