google_vertex_ai_endpoints resource

Use the google_vertex_ai_endpoints InSpec audit resource to to test a Google Cloud Endpoint resource.

Examples

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

Properties

Properties that can be accessed from the google_vertex_ai_endpoints resource:

See google_vertex_ai_endpoint for more detailed information.

• encryption_specs: an array of google_vertex_ai_endpoint encryption_spec
• enable_private_service_connects: an array of google_vertex_ai_endpoint enable_private_service_connect
• update_times: an array of google_vertex_ai_endpoint update_time
• model_deployment_monitoring_jobs: an array of google_vertex_ai_endpoint model_deployment_monitoring_job
• descriptions: an array of google_vertex_ai_endpoint description
• deployed_models: an array of google_vertex_ai_endpoint deployed_models
• networks: an array of google_vertex_ai_endpoint network
• traffic_splits: an array of google_vertex_ai_endpoint traffic_split
• labels: an array of google_vertex_ai_endpoint labels
• display_names: an array of google_vertex_ai_endpoint display_name
• predict_request_response_logging_configs: an array of google_vertex_ai_endpoint predict_request_response_logging_config
• etags: an array of google_vertex_ai_endpoint etag
• create_times: an array of google_vertex_ai_endpoint create_time
• names: an array of google_vertex_ai_endpoint name

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