Resource Type: GCP > Vertex AI > Endpoint

The Endpoint resource type represents a managed service that allows you to deploy machine learning models for online predictions. Endpoints are used to host machine learning models that are ready for inference, enabling you to serve predictions in real-time or in batches.

Resource Context

Endpoint is a part of the Vertex AI service.

Each Endpoint lives under a Region.

Controls

The primary controls for GCP > Vertex AI > Endpoint are:

In Your Workspace

Developers

Resource Type URI

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

Category URI

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

GraphQL

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

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

mutation createResource(input: { … })

mutation updateResource(input: { … })

CLI

Get Resource

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

Steampipe Query

Get Resource

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

Get Policy Settings (By Resource ID)

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

Get Resource Notification

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