Resource Type: AWS > SageMaker > Studio Lifecycle Config

The Studio Lifecycle Config resource type represents a lifecycle configuration script for Amazon SageMaker Studio applications. These configurations run scripts when Studio applications are created or started, allowing customization of the environment, installation of packages, and configuration of settings for JupyterServer, KernelGateway, CodeEditor, and JupyterLab applications.

Resource Context

Studio Lifecycle Config is a part of the SageMaker service.

Each Studio Lifecycle Config lives under a Region.

In Your Workspace

Developers

Resource Type URI

tmod:@turbot/aws-sagemaker#/resource/types/studioLifecycleConfig

Category URI

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

GraphQL

query resource(id: "tmod:@turbot/aws-sagemaker#/resource/types/studioLifecycleConfig") { … }

query resourceActivities(filter: "resourceId:'tmod:@turbot/aws-sagemaker#/resource/types/studioLifecycleConfig'") { … }

mutation createResource(input: { … })

mutation updateResource(input: { … })

CLI

Get Resource

turbot graphql resource --id "tmod:@turbot/aws-sagemaker#/resource/types/studioLifecycleConfig"

Steampipe Query

Get Resource

select * from guardrails_resource where resource_type_uri = 'tmod:@turbot/aws-sagemaker#/resource/types/studioLifecycleConfig';

Get Policy Settings (By Resource ID)

select * from guardrails_policy_setting where filter = 'resourceTypeId:"tmod:@turbot/aws-sagemaker#/resource/types/studioLifecycleConfig"';

Get Resource Notification

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