steampipe plugin install awssteampipe plugin install aws
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Table: aws_sagemaker_notebook_instance

An Amazon SageMaker notebook instance is a machine learning (ML) compute instance running the Jupyter Notebook App.

Examples

Basic info

select
name,
arn,
creation_time,
instance_type,
notebook_instance_status
from
aws_sagemaker_notebook_instance;

List notebook instances that do not have encryption at rest enabled

select
name,
kms_key_id
from
aws_sagemaker_notebook_instance
where
kms_key_id is null;

List publicly available notebook instances

select
name,
direct_internet_access
from
aws_sagemaker_notebook_instance
where
direct_internet_access = 'Disabled';

List notebook instances that allow root access

select
name,
root_access
from
aws_sagemaker_notebook_instance
where
root_access = 'Enabled';

.inspect aws_sagemaker_notebook_instance

AWS Sagemaker Notebook Instance

NameTypeDescription
accelerator_typesjsonbThe list of the Elastic Inference (EI) instance types associated with this notebook instance.
account_idtextThe AWS Account ID in which the resource is located.
additional_code_repositoriesjsonbAn array of up to three Git repositories associated with the notebook instance.
akasjsonbArray of globally unique identifier strings (also known as) for the resource.
arntextThe Amazon Resource Name (ARN) of the notebook instance.
creation_timetimestamp without time zoneA timestamp that shows when the notebook instance was created.
default_code_repositorytextThe Git repository associated with the notebook instance as its default code repository.
direct_internet_accesstextDescribes whether Amazon SageMaker provides internet access to the notebook instance.
failure_reasontextIf status is Failed, the reason it failed.
instance_typetextThe type of ML compute instance that the notebook instance is running on.
kms_key_idtextThe AWS KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the instance.
last_modified_timetimestamp without time zoneA timestamp that shows when the notebook instance was last modified.
nametextThe name of the notebook instance.
network_interface_idtextThe network interface IDs that Amazon SageMaker created at the time of creating the instance.
notebook_instance_lifecycle_config_nametextThe name of a notebook instance lifecycle configuration associated with this notebook instance.
notebook_instance_statustextThe status of the notebook instance.
partitiontextThe AWS partition in which the resource is located (aws, aws-cn, or aws-us-gov).
regiontextThe AWS Region in which the resource is located.
role_arntextThe Amazon Resource Name (ARN) of the IAM role associated with the instance.
root_accesstextWhether root access is enabled or disabled for users of the notebook instance.Lifecycle configurations need root access to be able to set up a notebook instance
security_groupsjsonbThe IDs of the VPC security groups.
subnet_idtextThe ID of the VPC subnet.
tagsjsonbA map of tags for the resource.
tags_srcjsonbThe list of tags for the notebook instance.
titletextTitle of the resource.
urltextThe URL that you use to connect to the Jupyter notebook that is running in your notebook instance.
volume_size_in_gbbigintThe size, in GB, of the ML storage volume attached to the notebook instance.