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[ aws . sagemaker ]

create-studio-lifecycle-config

Description

Creates a new Studio Lifecycle Configuration.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  create-studio-lifecycle-config
--studio-lifecycle-config-name <value>
--studio-lifecycle-config-content <value>
--studio-lifecycle-config-app-type <value>
[--tags <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--studio-lifecycle-config-name (string)

The name of the Studio Lifecycle Configuration to create.

--studio-lifecycle-config-content (string)

The content of your Studio Lifecycle Configuration script. This content must be base64 encoded.

--studio-lifecycle-config-app-type (string)

The App type that the Lifecycle Configuration is attached to.

Possible values:

  • JupyterServer
  • KernelGateway

--tags (list)

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.

(structure)

A tag object that consists of a key and an optional value, used to manage metadata for SageMaker Amazon Web Services resources.

You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints. For more information on adding tags to SageMaker resources, see AddTags .

For more information on adding metadata to your Amazon Web Services resources with tagging, see Tagging Amazon Web Services resources . For advice on best practices for managing Amazon Web Services resources with tagging, see Tagging Best Practices: Implement an Effective Amazon Web Services Resource Tagging Strategy .

Key -> (string)

The tag key. Tag keys must be unique per resource.

Value -> (string)

The tag value.

Shorthand Syntax:

Key=string,Value=string ...

JSON Syntax:

[
  {
    "Key": "string",
    "Value": "string"
  }
  ...
]

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See 'aws help' for descriptions of global parameters.

Output

StudioLifecycleConfigArn -> (string)

The ARN of your created Lifecycle Configuration.