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[ aws . sagemaker ]

create-app

Description

Creates a running App for the specified UserProfile. Supported Apps are JupyterServer , KernelGateway , and TensorBoard . This operation is automatically invoked by Amazon SageMaker Studio upon access to the associated Studio Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously. Apps will automatically terminate and be deleted when stopped from within Studio, or when the DeleteApp API is manually called. UserProfiles are limited to 5 concurrently running Apps at a time.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  create-app
--domain-id <value>
--user-profile-name <value>
--app-type <value>
--app-name <value>
[--tags <value>]
[--resource-spec <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--domain-id (string)

The domain ID.

--user-profile-name (string)

The user profile name.

--app-type (string)

The type of app.

Possible values:

  • JupyterServer
  • KernelGateway
  • TensorBoard

--app-name (string)

The name of the app.

--tags (list)

Each tag consists of a key and an optional value. Tag keys must be unique per resource.

Shorthand Syntax:

Key=string,Value=string ...

JSON Syntax:

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

--resource-spec (structure)

The instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance.

Shorthand Syntax:

SageMakerImageArn=string,InstanceType=string

JSON Syntax:

{
  "SageMakerImageArn": "string",
  "InstanceType": "system"|"ml.t3.micro"|"ml.t3.small"|"ml.t3.medium"|"ml.t3.large"|"ml.t3.xlarge"|"ml.t3.2xlarge"|"ml.m5.large"|"ml.m5.xlarge"|"ml.m5.2xlarge"|"ml.m5.4xlarge"|"ml.m5.8xlarge"|"ml.m5.12xlarge"|"ml.m5.16xlarge"|"ml.m5.24xlarge"|"ml.c5.large"|"ml.c5.xlarge"|"ml.c5.2xlarge"|"ml.c5.4xlarge"|"ml.c5.9xlarge"|"ml.c5.12xlarge"|"ml.c5.18xlarge"|"ml.c5.24xlarge"|"ml.p3.2xlarge"|"ml.p3.8xlarge"|"ml.p3.16xlarge"|"ml.g4dn.xlarge"|"ml.g4dn.2xlarge"|"ml.g4dn.4xlarge"|"ml.g4dn.8xlarge"|"ml.g4dn.12xlarge"|"ml.g4dn.16xlarge"
}

--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

AppArn -> (string)

The app's Amazon Resource Name (ARN).