AWS Amazon SageMaker Studio Lifecycle Config
This page shows how to write Terraform for Amazon SageMaker Studio Lifecycle Config and write them securely.
The Studio Lifecycle Config in Amazon SageMaker can be configured in Terraform with the resource name
aws_sagemaker_studio_lifecycle_config. The following sections describe how to use the resource and its parameters.
Example Usage from GitHub
An example could not be found in GitHub.
The following arguments are supported:
studio_lifecycle_config_name- (Required) The name of the Studio Lifecycle Configuration to create.
studio_lifecycle_config_app_type- (Required) The App type that the Lifecycle Configuration is attached to. Valid values are
studio_lifecycle_config_content- (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 provider
default_tagsconfiguration block present, tags with matching keys will overwrite those defined at the provider-level.
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.
tags_all- A map of tags assigned to the resource, including those inherited from the provider
Explanation in Terraform Registry
Provides a Sagemaker Studio Lifecycle Config resource.
CloudFormation code does not have the related resource.