pulumi-aws-kotlin/com.pulumi.aws.sagemaker.kotlin/StudioLifecycleConfig

StudioLifecycleConfig

class StudioLifecycleConfig : KotlinCustomResource

Provides a SageMaker Studio Lifecycle Config resource. {{% examples %}}

Example Usage

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Import

Using pulumi import, import SageMaker Studio Lifecycle Configs using the studio_lifecycle_config_name. For example:

$ pulumi import aws:sagemaker/studioLifecycleConfig:StudioLifecycleConfig example example

Properties

val arn: Output<String>

The Amazon Resource Name (ARN) assigned by AWS to this Studio Lifecycle Config.

val id: Output<String>

pulumiChildResources

val pulumiChildResources: Set<KotlinResource>

pulumiResourceName

val pulumiResourceName: String

pulumiResourceType

val pulumiResourceType: String

studioLifecycleConfigAppType

val studioLifecycleConfigAppType: Output<String>

The App type that the Lifecycle Configuration is attached to. Valid values are JupyterServer and KernelGateway.

studioLifecycleConfigContent

val studioLifecycleConfigContent: Output<String>

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

studioLifecycleConfigName

val studioLifecycleConfigName: Output<String>

The name of the Studio Lifecycle Configuration to create.

val tags: Output<Map<String, String>>?

A map of tags to assign to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.

val ~~tagsAll~~: Output<Map<String, String>>

A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

val urn: Output<String>