Create Notebook Instance Lifecycle Config
sagemaker_create_notebook_instance_lifecycle_config | R Documentation |
Creates a lifecycle configuration that you can associate with a notebook instance¶
Description¶
Creates a lifecycle configuration that you can associate with a notebook instance. A lifecycle configuration is a collection of shell scripts that run when you create or start a notebook instance.
Each lifecycle configuration script has a limit of 16384 characters.
The value of the $PATH
environment variable that is available to both
scripts is /sbin:bin:/usr/sbin:/usr/bin
.
View Amazon CloudWatch Logs for notebook instance lifecycle
configurations in log group /aws/sagemaker/NotebookInstances
in log
stream [notebook-instance-name]/[LifecycleConfigHook]
.
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
Usage¶
sagemaker_create_notebook_instance_lifecycle_config(
NotebookInstanceLifecycleConfigName, OnCreate, OnStart, Tags)
Arguments¶
NotebookInstanceLifecycleConfigName |
[required] The name of the lifecycle configuration. |
OnCreate |
A shell script that runs only once, when you create a notebook instance. The shell script must be a base64-encoded string. |
OnStart |
A shell script that runs every time you start a notebook instance, including when you create the notebook instance. The shell script must be a base64-encoded string. |
Tags |
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources. |
Value¶
A list with the following syntax:
list(
NotebookInstanceLifecycleConfigArn = "string"
)
Request syntax¶
svc$create_notebook_instance_lifecycle_config(
NotebookInstanceLifecycleConfigName = "string",
OnCreate = list(
list(
Content = "string"
)
),
OnStart = list(
list(
Content = "string"
)
),
Tags = list(
list(
Key = "string",
Value = "string"
)
)
)