Resource: awsSagemakerStudioLifecycleConfig
Provides a SageMaker Studio Lifecycle Config resource.
Example Usage
Basic usage
/*Provider bindings are generated by running cdktf get.
See https://cdk.tf/provider-generation for more details.*/
import * as aws from "./.gen/providers/aws";
new aws.sagemakerStudioLifecycleConfig.SagemakerStudioLifecycleConfig(
this,
"example",
{
studioLifecycleConfigAppType: "JupyterServer",
studioLifecycleConfigContent: '${base64encode("echo Hello")}',
studioLifecycleConfigName: "example",
}
);
Argument Reference
The following arguments are supported:
studioLifecycleConfigName
- (Required) The name of the Studio Lifecycle Configuration to create.studioLifecycleConfigAppType
- (Required) The App type that the Lifecycle Configuration is attached to. Valid values arejupyterServer
andkernelGateway
.studioLifecycleConfigContent
- (Required) The content of your Studio Lifecycle Configuration script. This content must be base64 encoded.tags
- (Optional) A map of tags to assign to the resource. If configured with a providerdefaultTags
configuration block present, tags with matching keys will overwrite those defined at the provider-level.
Attributes Reference
In addition to all arguments above, the following attributes are exported:
id
- The name of the Studio Lifecycle Config.arn
- The Amazon Resource Name (ARN) assigned by AWS to this Studio Lifecycle Config.tagsAll
- A map of tags assigned to the resource, including those inherited from the providerdefaultTags
configuration block.
Import
SageMaker Studio Lifecycle Configs can be imported using the studioLifecycleConfigName
, e.g.,