AWS::SageMaker::StudioLifecycleConfig - AWS CloudFormation
SyntaxPropertiesReturn values

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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

Tags

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.