Resource Type: GCP > Vertex AI

Google Cloud Vertex AI is a fully managed machine learning (ML) platform designed to help developers and data scientists to build, deploy, and scale ML models. It offers a unified platform for data preparation, model training, hyperparameter tuning, and deployment of ML models, allowing you to manage the end-to-end machine learning lifecycle from a single interface.

Resource Types

The Vertex AI service includes these resource types:

Controls

The primary controls for GCP > Vertex AI are:

In Your Workspace

Developers

Resource Type URI

tmod:@turbot/gcp-vertexai#/resource/types/vertexAi

Category URI

tmod:@turbot/turbot#/resource/categories/cloudService

GraphQL

query resource(id: "tmod:@turbot/gcp-vertexai#/resource/types/vertexAi") { … }

query resourceActivities(filter: "resourceId:'tmod:@turbot/gcp-vertexai#/resource/types/vertexAi'") { … }

mutation createResource(input: { … })

mutation updateResource(input: { … })

CLI

Get Resource

turbot graphql resource --id "tmod:@turbot/gcp-vertexai#/resource/types/vertexAi"

Steampipe Query

Get Resource

select * from guardrails_resource where resource_type_uri = 'tmod:@turbot/gcp-vertexai#/resource/types/vertexAi';

Get Policy Settings (By Resource ID)

select * from guardrails_policy_setting where filter = 'resourceTypeId:"tmod:@turbot/gcp-vertexai#/resource/types/vertexAi"';

Get Resource Notification

select * from guardrails_notification where resource_type_uri = 'tmod:@turbot/gcp-vertexai#/resource/types/vertexAi' and notification_type in ('resource_updated', 'resource_created');