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AWS::SageMaker::StudioLifecycleConfig
Creates a new Amazon SageMaker AI Studio Lifecycle Configuration.
Syntax
To declare this entity in your CloudFormation template, use the following syntax:
JSON
{ "Type" : "AWS::SageMaker::StudioLifecycleConfig", "Properties" : { "StudioLifecycleConfigAppType" :String, "StudioLifecycleConfigContent" :String, "StudioLifecycleConfigName" :String, "Tags" :[ Tag, ... ]} }
YAML
Type: AWS::SageMaker::StudioLifecycleConfig Properties: StudioLifecycleConfigAppType:StringStudioLifecycleConfigContent:StringStudioLifecycleConfigName:StringTags:- Tag
Properties
StudioLifecycleConfigAppType-
The App type to which the Lifecycle Configuration is attached.
Required: Yes
Type: String
Allowed values:
JupyterServer | KernelGateway | CodeEditor | JupyterLabUpdate requires: Replacement
StudioLifecycleConfigContent-
The content of your Amazon SageMaker AI Studio Lifecycle Configuration script. This content must be base64 encoded.
Required: Yes
Type: String
Pattern:
[\S\s]+Minimum:
1Maximum:
16384Update requires: Replacement
StudioLifecycleConfigName-
The name of the Amazon SageMaker AI Studio Lifecycle Configuration.
Required: Yes
Type: String
Pattern:
^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}Minimum:
1Maximum:
63Update requires: Replacement
-
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.
Required: No
Type: Array of Tag
Minimum:
0Maximum:
50Update requires: Replacement
Return values
Ref
Fn::GetAtt
The Fn::GetAtt intrinsic function returns a value for a specified attribute of this type. The following are the available attributes and sample return values.
For more information about using the Fn::GetAtt intrinsic function, see Fn::GetAtt.
StudioLifecycleConfigArn-
The Amazon Resource Name (ARN) of the Lifecycle Configuration.