CfnStudioLifecycleConfigProps Struct
Properties for defining a CfnStudioLifecycleConfig.
Example
ts
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import { aws_sagemaker as sagemaker } from 'aws-cdk-lib';
const cfnStudioLifecycleConfigProps: sagemaker.CfnStudioLifecycleConfigProps = {
studioLifecycleConfigAppType: 'studioLifecycleConfigAppType',
studioLifecycleConfigContent: 'studioLifecycleConfigContent',
studioLifecycleConfigName: 'studioLifecycleConfigName',
// the properties below are optional
tags: [{
key: 'key',
value: 'value',
}],
};
Properties
studioLifecycleConfigAppTypestringstudio_lifecycle_config_app_typestrstudioLifecycleConfigAppTypeStringStudioLifecycleConfigAppTypestringStudioLifecycleConfigAppType*stringrequired#The App type to which the Lifecycle Configuration is attached.
studioLifecycleConfigContentstringstudio_lifecycle_config_contentstrstudioLifecycleConfigContentStringStudioLifecycleConfigContentstringStudioLifecycleConfigContent*stringrequired#The content of your Amazon SageMaker Studio Lifecycle Configuration script.
This content must be base64 encoded.
studioLifecycleConfigNamestringstudio_lifecycle_config_namestrstudioLifecycleConfigNameStringStudioLifecycleConfigNamestringStudioLifecycleConfigName*stringrequired#The name of the Amazon SageMaker AI Studio Lifecycle Configuration.
tagsoptionalCfnTag[]tagsoptionaltyping.List[CfnTag]tagsoptionalList<CfnTag>TagsoptionalCfnTag[]Tagsoptional*[]CfnTag#Tags to be associated with the Lifecycle Configuration.
Each tag consists of a key and an optional value. Tag keys must be unique per resource. Tags are searchable using the Search API.