AWS::SageMaker::StudioLifecycleConfig
Creates a new Amazon SageMaker AI Studio Lifecycle Configuration.
Syntax
To declare this entity in your AWS 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:
String
StudioLifecycleConfigContent:String
StudioLifecycleConfigName:String
Tags:- Tag
Properties
StudioLifecycleConfigAppType
-
The App type to which the Lifecycle Configuration is attached.
Required: Yes
Type: String
Allowed values:
JupyterServer | KernelGateway | CodeEditor | JupyterLab
Update requires: Replacement
StudioLifecycleConfigContent
Property description not available.
Required: Yes
Type: String
Pattern:
[\S\s]+
Minimum:
1
Maximum:
16384
Update 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:
1
Maximum:
63
Update requires: Replacement
Property description not available.
Required: No
Type: Array of Tag
Minimum:
0
Maximum:
50
Update requires: Replacement
Return values
Ref
Fn::GetAtt
StudioLifecycleConfigArn
-
The Amazon Resource Name (ARN) of the Lifecycle Configuration.