CfnDomain
- class aws_cdk.aws_sagemaker.CfnDomain(scope, id, *, auth_mode, default_user_settings, domain_name, subnet_ids, vpc_id, app_network_access_type=None, app_security_group_management=None, default_space_settings=None, domain_settings=None, kms_key_id=None, tags=None)
Bases:
CfnResource
Creates a
Domain
.A domain consists of an associated Amazon Elastic File System volume, a list of authorized users, and a variety of security, application, policy, and Amazon Virtual Private Cloud (VPC) configurations. Users within a domain can share notebook files and other artifacts with each other.
EFS storage
When a domain is created, an EFS volume is created for use by all of the users within the domain. Each user receives a private home directory within the EFS volume for notebooks, Git repositories, and data files.
SageMaker uses the AWS Key Management Service ( AWS KMS) to encrypt the EFS volume attached to the domain with an AWS managed key by default. For more control, you can specify a customer managed key. For more information, see Protect Data at Rest Using Encryption .
VPC configuration
All traffic between the domain and the Amazon EFS volume is through the specified VPC and subnets. For other traffic, you can specify the
AppNetworkAccessType
parameter.AppNetworkAccessType
corresponds to the network access type that you choose when you onboard to the domain. The following options are available:PublicInternetOnly
- Non-EFS traffic goes through a VPC managed by Amazon SageMaker, which allows internet access. This is the default value.VpcOnly
- All traffic is through the specified VPC and subnets. Internet access is disabled by default. To allow internet access, you must specify a NAT gateway.
When internet access is disabled, you won’t be able to run a Amazon SageMaker Studio notebook or to train or host models unless your VPC has an interface endpoint to the SageMaker API and runtime or a NAT gateway and your security groups allow outbound connections. .. epigraph:
NFS traffic over TCP on port 2049 needs to be allowed in both inbound and outbound rules in order to launch a Amazon SageMaker Studio app successfully.
For more information, see Connect Amazon SageMaker Studio Notebooks to Resources in a VPC .
- See:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-domain.html
- CloudformationResource:
AWS::SageMaker::Domain
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker cfn_domain = sagemaker.CfnDomain(self, "MyCfnDomain", auth_mode="authMode", default_user_settings=sagemaker.CfnDomain.UserSettingsProperty( execution_role="executionRole", # the properties below are optional code_editor_app_settings=sagemaker.CfnDomain.CodeEditorAppSettingsProperty( app_lifecycle_management=sagemaker.CfnDomain.AppLifecycleManagementProperty( idle_settings=sagemaker.CfnDomain.IdleSettingsProperty( idle_timeout_in_minutes=123, lifecycle_management="lifecycleManagement", max_idle_timeout_in_minutes=123, min_idle_timeout_in_minutes=123 ) ), custom_images=[sagemaker.CfnDomain.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )], default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), lifecycle_config_arns=["lifecycleConfigArns"] ), custom_file_system_configs=[sagemaker.CfnDomain.CustomFileSystemConfigProperty( efs_file_system_config=sagemaker.CfnDomain.EFSFileSystemConfigProperty( file_system_id="fileSystemId", # the properties below are optional file_system_path="fileSystemPath" ) )], custom_posix_user_config=sagemaker.CfnDomain.CustomPosixUserConfigProperty( gid=123, uid=123 ), default_landing_uri="defaultLandingUri", jupyter_lab_app_settings=sagemaker.CfnDomain.JupyterLabAppSettingsProperty( app_lifecycle_management=sagemaker.CfnDomain.AppLifecycleManagementProperty( idle_settings=sagemaker.CfnDomain.IdleSettingsProperty( idle_timeout_in_minutes=123, lifecycle_management="lifecycleManagement", max_idle_timeout_in_minutes=123, min_idle_timeout_in_minutes=123 ) ), code_repositories=[sagemaker.CfnDomain.CodeRepositoryProperty( repository_url="repositoryUrl" )], custom_images=[sagemaker.CfnDomain.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )], default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), lifecycle_config_arns=["lifecycleConfigArns"] ), jupyter_server_app_settings=sagemaker.CfnDomain.JupyterServerAppSettingsProperty( default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), lifecycle_config_arns=["lifecycleConfigArns"] ), kernel_gateway_app_settings=sagemaker.CfnDomain.KernelGatewayAppSettingsProperty( custom_images=[sagemaker.CfnDomain.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )], default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), lifecycle_config_arns=["lifecycleConfigArns"] ), r_session_app_settings=sagemaker.CfnDomain.RSessionAppSettingsProperty( custom_images=[sagemaker.CfnDomain.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )], default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ) ), r_studio_server_pro_app_settings=sagemaker.CfnDomain.RStudioServerProAppSettingsProperty( access_status="accessStatus", user_group="userGroup" ), security_groups=["securityGroups"], sharing_settings=sagemaker.CfnDomain.SharingSettingsProperty( notebook_output_option="notebookOutputOption", s3_kms_key_id="s3KmsKeyId", s3_output_path="s3OutputPath" ), space_storage_settings=sagemaker.CfnDomain.DefaultSpaceStorageSettingsProperty( default_ebs_storage_settings=sagemaker.CfnDomain.DefaultEbsStorageSettingsProperty( default_ebs_volume_size_in_gb=123, maximum_ebs_volume_size_in_gb=123 ) ), studio_web_portal="studioWebPortal", studio_web_portal_settings=sagemaker.CfnDomain.StudioWebPortalSettingsProperty( hidden_app_types=["hiddenAppTypes"], hidden_ml_tools=["hiddenMlTools"] ) ), domain_name="domainName", subnet_ids=["subnetIds"], vpc_id="vpcId", # the properties below are optional app_network_access_type="appNetworkAccessType", app_security_group_management="appSecurityGroupManagement", default_space_settings=sagemaker.CfnDomain.DefaultSpaceSettingsProperty( execution_role="executionRole", # the properties below are optional custom_file_system_configs=[sagemaker.CfnDomain.CustomFileSystemConfigProperty( efs_file_system_config=sagemaker.CfnDomain.EFSFileSystemConfigProperty( file_system_id="fileSystemId", # the properties below are optional file_system_path="fileSystemPath" ) )], custom_posix_user_config=sagemaker.CfnDomain.CustomPosixUserConfigProperty( gid=123, uid=123 ), jupyter_lab_app_settings=sagemaker.CfnDomain.JupyterLabAppSettingsProperty( app_lifecycle_management=sagemaker.CfnDomain.AppLifecycleManagementProperty( idle_settings=sagemaker.CfnDomain.IdleSettingsProperty( idle_timeout_in_minutes=123, lifecycle_management="lifecycleManagement", max_idle_timeout_in_minutes=123, min_idle_timeout_in_minutes=123 ) ), code_repositories=[sagemaker.CfnDomain.CodeRepositoryProperty( repository_url="repositoryUrl" )], custom_images=[sagemaker.CfnDomain.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )], default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), lifecycle_config_arns=["lifecycleConfigArns"] ), jupyter_server_app_settings=sagemaker.CfnDomain.JupyterServerAppSettingsProperty( default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), lifecycle_config_arns=["lifecycleConfigArns"] ), kernel_gateway_app_settings=sagemaker.CfnDomain.KernelGatewayAppSettingsProperty( custom_images=[sagemaker.CfnDomain.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )], default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), lifecycle_config_arns=["lifecycleConfigArns"] ), security_groups=["securityGroups"], space_storage_settings=sagemaker.CfnDomain.DefaultSpaceStorageSettingsProperty( default_ebs_storage_settings=sagemaker.CfnDomain.DefaultEbsStorageSettingsProperty( default_ebs_volume_size_in_gb=123, maximum_ebs_volume_size_in_gb=123 ) ) ), domain_settings=sagemaker.CfnDomain.DomainSettingsProperty( docker_settings=sagemaker.CfnDomain.DockerSettingsProperty( enable_docker_access="enableDockerAccess", vpc_only_trusted_accounts=["vpcOnlyTrustedAccounts"] ), r_studio_server_pro_domain_settings=sagemaker.CfnDomain.RStudioServerProDomainSettingsProperty( domain_execution_role_arn="domainExecutionRoleArn", # the properties below are optional default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), r_studio_connect_url="rStudioConnectUrl", r_studio_package_manager_url="rStudioPackageManagerUrl" ), security_group_ids=["securityGroupIds"] ), kms_key_id="kmsKeyId", tags=[CfnTag( key="key", value="value" )] )
- Parameters:
scope (
Construct
) – Scope in which this resource is defined.id (
str
) – Construct identifier for this resource (unique in its scope).auth_mode (
str
) – The mode of authentication that members use to access the Domain. Valid Values :SSO | IAM
default_user_settings (
Union
[IResolvable
,UserSettingsProperty
,Dict
[str
,Any
]]) – The default user settings.domain_name (
str
) – The domain name.subnet_ids (
Sequence
[str
]) – The VPC subnets that Studio uses for communication. Length Constraints : Maximum length of 32. Array members : Minimum number of 1 item. Maximum number of 16 items. Pattern :[-0-9a-zA-Z]+
vpc_id (
str
) – The ID of the Amazon Virtual Private Cloud (Amazon VPC) that Studio uses for communication. Length Constraints : Maximum length of 32. Pattern :[-0-9a-zA-Z]+
app_network_access_type (
Optional
[str
]) – Specifies the VPC used for non-EFS traffic. The default value isPublicInternetOnly
. -PublicInternetOnly
- Non-EFS traffic is through a VPC managed by Amazon SageMaker , which allows direct internet access -VpcOnly
- All Studio traffic is through the specified VPC and subnets Valid Values :PublicInternetOnly | VpcOnly
app_security_group_management (
Optional
[str
]) – The entity that creates and manages the required security groups for inter-app communication inVpcOnly
mode. Required whenCreateDomain.AppNetworkAccessType
isVpcOnly
andDomainSettings.RStudioServerProDomainSettings.DomainExecutionRoleArn
is provided. If setting up the domain for use with RStudio, this value must be set toService
. Allowed Values :Service
|Customer
default_space_settings (
Union
[IResolvable
,DefaultSpaceSettingsProperty
,Dict
[str
,Any
],None
]) – A collection of settings that apply to spaces created in the domain.domain_settings (
Union
[IResolvable
,DomainSettingsProperty
,Dict
[str
,Any
],None
]) – A collection of settings that apply to theSageMaker Domain
. These settings are specified through theCreateDomain
API call.kms_key_id (
Optional
[str
]) – SageMaker uses AWS KMS to encrypt the EFS volume attached to the Domain with an AWS managed customer master key (CMK) by default. For more control, specify a customer managed CMK. Length Constraints : Maximum length of 2048. Pattern :.*
tags (
Optional
[Sequence
[Union
[CfnTag
,Dict
[str
,Any
]]]]) – Tags to associated with the Domain. Each tag consists of a key and an optional value. Tag keys must be unique per resource. Tags are searchable using the Search API. Tags that you specify for the Domain are also added to all apps that are launched in the Domain. Array members : Minimum number of 0 items. Maximum number of 50 items.
Methods
- add_deletion_override(path)
Syntactic sugar for
addOverride(path, undefined)
.- Parameters:
path (
str
) – The path of the value to delete.- Return type:
None
- add_dependency(target)
Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- add_depends_on(target)
(deprecated) Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
- Parameters:
target (
CfnResource
) –- Deprecated:
use addDependency
- Stability:
deprecated
- Return type:
None
- add_metadata(key, value)
Add a value to the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –value (
Any
) –
- See:
- Return type:
None
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- add_override(path, value)
Adds an override to the synthesized CloudFormation resource.
To add a property override, either use
addPropertyOverride
or prefixpath
with “Properties.” (i.e.Properties.TopicName
).If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.
To include a literal
.
in the property name, prefix with a\
. In most programming languages you will need to write this as"\\."
because the\
itself will need to be escaped.For example:
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"]) cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")
would add the overrides Example:
"Properties": { "GlobalSecondaryIndexes": [ { "Projection": { "NonKeyAttributes": [ "myattribute" ] ... } ... }, { "ProjectionType": "INCLUDE" ... }, ] ... }
The
value
argument toaddOverride
will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.- Parameters:
path (
str
) –The path of the property, you can use dot notation to override values in complex types. Any intermediate keys will be created as needed.
value (
Any
) –The value. Could be primitive or complex.
- Return type:
None
- add_property_deletion_override(property_path)
Adds an override that deletes the value of a property from the resource definition.
- Parameters:
property_path (
str
) – The path to the property.- Return type:
None
- add_property_override(property_path, value)
Adds an override to a resource property.
Syntactic sugar for
addOverride("Properties.<...>", value)
.- Parameters:
property_path (
str
) – The path of the property.value (
Any
) – The value.
- Return type:
None
- apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)
Sets the deletion policy of the resource based on the removal policy specified.
The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.
The resource can be deleted (
RemovalPolicy.DESTROY
), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN
). In some cases, a snapshot can be taken of the resource prior to deletion (RemovalPolicy.SNAPSHOT
). A list of resources that support this policy can be found in the following link:- Parameters:
policy (
Optional
[RemovalPolicy
]) –apply_to_update_replace_policy (
Optional
[bool
]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: truedefault (
Optional
[RemovalPolicy
]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resource, please consult that specific resource’s documentation.
- See:
- Return type:
None
- get_att(attribute_name, type_hint=None)
Returns a token for an runtime attribute of this resource.
Ideally, use generated attribute accessors (e.g.
resource.arn
), but this can be used for future compatibility in case there is no generated attribute.- Parameters:
attribute_name (
str
) – The name of the attribute.type_hint (
Optional
[ResolutionTypeHint
]) –
- Return type:
- get_metadata(key)
Retrieve a value value from the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –- See:
- Return type:
Any
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- inspect(inspector)
Examines the CloudFormation resource and discloses attributes.
- Parameters:
inspector (
TreeInspector
) – tree inspector to collect and process attributes.- Return type:
None
- obtain_dependencies()
Retrieves an array of resources this resource depends on.
This assembles dependencies on resources across stacks (including nested stacks) automatically.
- Return type:
List
[Union
[Stack
,CfnResource
]]
- obtain_resource_dependencies()
Get a shallow copy of dependencies between this resource and other resources in the same stack.
- Return type:
List
[CfnResource
]
- override_logical_id(new_logical_id)
Overrides the auto-generated logical ID with a specific ID.
- Parameters:
new_logical_id (
str
) – The new logical ID to use for this stack element.- Return type:
None
- remove_dependency(target)
Indicates that this resource no longer depends on another resource.
This can be used for resources across stacks (including nested stacks) and the dependency will automatically be removed from the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- replace_dependency(target, new_target)
Replaces one dependency with another.
- Parameters:
target (
CfnResource
) – The dependency to replace.new_target (
CfnResource
) – The new dependency to add.
- Return type:
None
- to_string()
Returns a string representation of this construct.
- Return type:
str
- Returns:
a string representation of this resource
Attributes
- CFN_RESOURCE_TYPE_NAME = 'AWS::SageMaker::Domain'
- app_network_access_type
Specifies the VPC used for non-EFS traffic.
The default value is
PublicInternetOnly
.
- app_security_group_management
The entity that creates and manages the required security groups for inter-app communication in
VpcOnly
mode.
- attr_domain_arn
The Amazon Resource Name (ARN) of the Domain, such as
arn:aws:sagemaker:us-west-2:account-id:domain/my-domain-name
.- CloudformationAttribute:
DomainArn
- attr_domain_id
The Domain ID.
- CloudformationAttribute:
DomainId
- attr_home_efs_file_system_id
The ID of the Amazon Elastic File System (EFS) managed by this Domain.
- CloudformationAttribute:
HomeEfsFileSystemId
- attr_security_group_id_for_domain_boundary
The ID of the security group that authorizes traffic between the
RSessionGateway
apps and theRStudioServerPro
app.- CloudformationAttribute:
SecurityGroupIdForDomainBoundary
- attr_single_sign_on_application_arn
The ARN of the application managed by SageMaker in IAM Identity Center.
This value is only returned for domains created after October 1, 2023.
- CloudformationAttribute:
SingleSignOnApplicationArn
- attr_single_sign_on_managed_application_instance_id
The IAM Identity Center managed application instance ID.
- CloudformationAttribute:
SingleSignOnManagedApplicationInstanceId
- attr_url
The URL for the Domain.
- CloudformationAttribute:
Url
- auth_mode
The mode of authentication that members use to access the Domain.
- cfn_options
Options for this resource, such as condition, update policy etc.
- cfn_resource_type
AWS resource type.
- creation_stack
return:
the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.
- default_space_settings
A collection of settings that apply to spaces created in the domain.
- default_user_settings
The default user settings.
- domain_name
The domain name.
- domain_settings
A collection of settings that apply to the
SageMaker Domain
.
- kms_key_id
SageMaker uses AWS KMS to encrypt the EFS volume attached to the Domain with an AWS managed customer master key (CMK) by default.
- logical_id
The logical ID for this CloudFormation stack element.
The logical ID of the element is calculated from the path of the resource node in the construct tree.
To override this value, use
overrideLogicalId(newLogicalId)
.- Returns:
the logical ID as a stringified token. This value will only get resolved during synthesis.
- node
The tree node.
- ref
Return a string that will be resolved to a CloudFormation
{ Ref }
for this element.If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through
Lazy.any({ produce: resource.ref })
.
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
- subnet_ids
The VPC subnets that Studio uses for communication.
- tags
Tag Manager which manages the tags for this resource.
- tags_raw
Tags to associated with the Domain.
- vpc_id
The ID of the Amazon Virtual Private Cloud (Amazon VPC) that Studio uses for communication.
Static Methods
- classmethod is_cfn_element(x)
Returns
true
if a construct is a stack element (i.e. part of the synthesized cloudformation template).Uses duck-typing instead of
instanceof
to allow stack elements from different versions of this library to be included in the same stack.- Parameters:
x (
Any
) –- Return type:
bool
- Returns:
The construct as a stack element or undefined if it is not a stack element.
- classmethod is_cfn_resource(x)
Check whether the given object is a CfnResource.
- Parameters:
x (
Any
) –- Return type:
bool
- classmethod is_construct(x)
Checks if
x
is a construct.Use this method instead of
instanceof
to properly detectConstruct
instances, even when the construct library is symlinked.Explanation: in JavaScript, multiple copies of the
constructs
library on disk are seen as independent, completely different libraries. As a consequence, the classConstruct
in each copy of theconstructs
library is seen as a different class, and an instance of one class will not test asinstanceof
the other class.npm install
will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of theconstructs
library can be accidentally installed, andinstanceof
will behave unpredictably. It is safest to avoid usinginstanceof
, and using this type-testing method instead.- Parameters:
x (
Any
) – Any object.- Return type:
bool
- Returns:
true if
x
is an object created from a class which extendsConstruct
.
AppLifecycleManagementProperty
- class CfnDomain.AppLifecycleManagementProperty(*, idle_settings=None)
Bases:
object
Settings that are used to configure and manage the lifecycle of Amazon SageMaker Studio applications.
- Parameters:
idle_settings (
Union
[IResolvable
,IdleSettingsProperty
,Dict
[str
,Any
],None
]) – Settings related to idle shutdown of Studio applications.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker app_lifecycle_management_property = sagemaker.CfnDomain.AppLifecycleManagementProperty( idle_settings=sagemaker.CfnDomain.IdleSettingsProperty( idle_timeout_in_minutes=123, lifecycle_management="lifecycleManagement", max_idle_timeout_in_minutes=123, min_idle_timeout_in_minutes=123 ) )
Attributes
- idle_settings
Settings related to idle shutdown of Studio applications.
CodeEditorAppSettingsProperty
- class CfnDomain.CodeEditorAppSettingsProperty(*, app_lifecycle_management=None, custom_images=None, default_resource_spec=None, lifecycle_config_arns=None)
Bases:
object
The Code Editor application settings.
For more information about Code Editor, see Get started with Code Editor in Amazon SageMaker .
- Parameters:
app_lifecycle_management (
Union
[IResolvable
,AppLifecycleManagementProperty
,Dict
[str
,Any
],None
]) – Settings that are used to configure and manage the lifecycle of CodeEditor applications.custom_images (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,CustomImageProperty
,Dict
[str
,Any
]]],None
]) – A list of custom SageMaker images that are configured to run as a Code Editor app.default_resource_spec (
Union
[IResolvable
,ResourceSpecProperty
,Dict
[str
,Any
],None
]) – The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the Code Editor app.lifecycle_config_arns (
Optional
[Sequence
[str
]]) – The Amazon Resource Name (ARN) of the Code Editor application lifecycle configuration.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker code_editor_app_settings_property = sagemaker.CfnDomain.CodeEditorAppSettingsProperty( app_lifecycle_management=sagemaker.CfnDomain.AppLifecycleManagementProperty( idle_settings=sagemaker.CfnDomain.IdleSettingsProperty( idle_timeout_in_minutes=123, lifecycle_management="lifecycleManagement", max_idle_timeout_in_minutes=123, min_idle_timeout_in_minutes=123 ) ), custom_images=[sagemaker.CfnDomain.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )], default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), lifecycle_config_arns=["lifecycleConfigArns"] )
Attributes
- app_lifecycle_management
Settings that are used to configure and manage the lifecycle of CodeEditor applications.
- custom_images
A list of custom SageMaker images that are configured to run as a Code Editor app.
- default_resource_spec
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the Code Editor app.
- lifecycle_config_arns
The Amazon Resource Name (ARN) of the Code Editor application lifecycle configuration.
CodeRepositoryProperty
- class CfnDomain.CodeRepositoryProperty(*, repository_url)
Bases:
object
A Git repository that SageMaker automatically displays to users for cloning in the JupyterServer application.
- Parameters:
repository_url (
str
) – The URL of the Git repository.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker code_repository_property = sagemaker.CfnDomain.CodeRepositoryProperty( repository_url="repositoryUrl" )
Attributes
- repository_url
The URL of the Git repository.
CustomFileSystemConfigProperty
- class CfnDomain.CustomFileSystemConfigProperty(*, efs_file_system_config=None)
Bases:
object
The settings for assigning a custom file system to a user profile or space for an Amazon SageMaker Domain.
Permitted users can access this file system in Amazon SageMaker Studio.
- Parameters:
efs_file_system_config (
Union
[IResolvable
,EFSFileSystemConfigProperty
,Dict
[str
,Any
],None
]) – The settings for a custom Amazon EFS file system.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker custom_file_system_config_property = sagemaker.CfnDomain.CustomFileSystemConfigProperty( efs_file_system_config=sagemaker.CfnDomain.EFSFileSystemConfigProperty( file_system_id="fileSystemId", # the properties below are optional file_system_path="fileSystemPath" ) )
Attributes
- efs_file_system_config
The settings for a custom Amazon EFS file system.
CustomImageProperty
- class CfnDomain.CustomImageProperty(*, app_image_config_name, image_name, image_version_number=None)
Bases:
object
A custom SageMaker image.
For more information, see Bring your own SageMaker image .
- Parameters:
app_image_config_name (
str
) – The name of the AppImageConfig.image_name (
str
) – The name of the CustomImage. Must be unique to your account.image_version_number (
Union
[int
,float
,None
]) – The version number of the CustomImage.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker custom_image_property = sagemaker.CfnDomain.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )
Attributes
- app_image_config_name
The name of the AppImageConfig.
- image_name
The name of the CustomImage.
Must be unique to your account.
- image_version_number
The version number of the CustomImage.
CustomPosixUserConfigProperty
- class CfnDomain.CustomPosixUserConfigProperty(*, gid, uid)
Bases:
object
Details about the POSIX identity that is used for file system operations.
- Parameters:
gid (
Union
[int
,float
]) – The POSIX group ID.uid (
Union
[int
,float
]) – The POSIX user ID.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker custom_posix_user_config_property = sagemaker.CfnDomain.CustomPosixUserConfigProperty( gid=123, uid=123 )
Attributes
- gid
The POSIX group ID.
DefaultEbsStorageSettingsProperty
- class CfnDomain.DefaultEbsStorageSettingsProperty(*, default_ebs_volume_size_in_gb, maximum_ebs_volume_size_in_gb)
Bases:
object
A collection of default EBS storage settings that apply to spaces created within a domain or user profile.
- Parameters:
default_ebs_volume_size_in_gb (
Union
[int
,float
]) – The default size of the EBS storage volume for a space.maximum_ebs_volume_size_in_gb (
Union
[int
,float
]) – The maximum size of the EBS storage volume for a space.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker default_ebs_storage_settings_property = sagemaker.CfnDomain.DefaultEbsStorageSettingsProperty( default_ebs_volume_size_in_gb=123, maximum_ebs_volume_size_in_gb=123 )
Attributes
- default_ebs_volume_size_in_gb
The default size of the EBS storage volume for a space.
- maximum_ebs_volume_size_in_gb
The maximum size of the EBS storage volume for a space.
DefaultSpaceSettingsProperty
- class CfnDomain.DefaultSpaceSettingsProperty(*, execution_role, custom_file_system_configs=None, custom_posix_user_config=None, jupyter_lab_app_settings=None, jupyter_server_app_settings=None, kernel_gateway_app_settings=None, security_groups=None, space_storage_settings=None)
Bases:
object
A collection of settings that apply to spaces created in the domain.
- Parameters:
execution_role (
str
) – The ARN of the execution role for the space.custom_file_system_configs (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,CustomFileSystemConfigProperty
,Dict
[str
,Any
]]],None
]) – The settings for assigning a custom file system to a domain. Permitted users can access this file system in Amazon SageMaker Studio.custom_posix_user_config (
Union
[IResolvable
,CustomPosixUserConfigProperty
,Dict
[str
,Any
],None
]) –jupyter_lab_app_settings (
Union
[IResolvable
,JupyterLabAppSettingsProperty
,Dict
[str
,Any
],None
]) – The JupyterLab app settings.jupyter_server_app_settings (
Union
[IResolvable
,JupyterServerAppSettingsProperty
,Dict
[str
,Any
],None
]) – The JupyterServer app settings.kernel_gateway_app_settings (
Union
[IResolvable
,KernelGatewayAppSettingsProperty
,Dict
[str
,Any
],None
]) – The KernelGateway app settings.security_groups (
Optional
[Sequence
[str
]]) – The security group IDs for the Amazon VPC that the space uses for communication.space_storage_settings (
Union
[IResolvable
,DefaultSpaceStorageSettingsProperty
,Dict
[str
,Any
],None
]) – Default storage settings for a space.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker default_space_settings_property = sagemaker.CfnDomain.DefaultSpaceSettingsProperty( execution_role="executionRole", # the properties below are optional custom_file_system_configs=[sagemaker.CfnDomain.CustomFileSystemConfigProperty( efs_file_system_config=sagemaker.CfnDomain.EFSFileSystemConfigProperty( file_system_id="fileSystemId", # the properties below are optional file_system_path="fileSystemPath" ) )], custom_posix_user_config=sagemaker.CfnDomain.CustomPosixUserConfigProperty( gid=123, uid=123 ), jupyter_lab_app_settings=sagemaker.CfnDomain.JupyterLabAppSettingsProperty( app_lifecycle_management=sagemaker.CfnDomain.AppLifecycleManagementProperty( idle_settings=sagemaker.CfnDomain.IdleSettingsProperty( idle_timeout_in_minutes=123, lifecycle_management="lifecycleManagement", max_idle_timeout_in_minutes=123, min_idle_timeout_in_minutes=123 ) ), code_repositories=[sagemaker.CfnDomain.CodeRepositoryProperty( repository_url="repositoryUrl" )], custom_images=[sagemaker.CfnDomain.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )], default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), lifecycle_config_arns=["lifecycleConfigArns"] ), jupyter_server_app_settings=sagemaker.CfnDomain.JupyterServerAppSettingsProperty( default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), lifecycle_config_arns=["lifecycleConfigArns"] ), kernel_gateway_app_settings=sagemaker.CfnDomain.KernelGatewayAppSettingsProperty( custom_images=[sagemaker.CfnDomain.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )], default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), lifecycle_config_arns=["lifecycleConfigArns"] ), security_groups=["securityGroups"], space_storage_settings=sagemaker.CfnDomain.DefaultSpaceStorageSettingsProperty( default_ebs_storage_settings=sagemaker.CfnDomain.DefaultEbsStorageSettingsProperty( default_ebs_volume_size_in_gb=123, maximum_ebs_volume_size_in_gb=123 ) ) )
Attributes
- custom_file_system_configs
The settings for assigning a custom file system to a domain.
Permitted users can access this file system in Amazon SageMaker Studio.
- custom_posix_user_config
-
- Type:
see
- execution_role
The ARN of the execution role for the space.
- jupyter_lab_app_settings
The JupyterLab app settings.
- jupyter_server_app_settings
The JupyterServer app settings.
- kernel_gateway_app_settings
The KernelGateway app settings.
- security_groups
The security group IDs for the Amazon VPC that the space uses for communication.
- space_storage_settings
Default storage settings for a space.
DefaultSpaceStorageSettingsProperty
- class CfnDomain.DefaultSpaceStorageSettingsProperty(*, default_ebs_storage_settings=None)
Bases:
object
The default storage settings for a space.
- Parameters:
default_ebs_storage_settings (
Union
[IResolvable
,DefaultEbsStorageSettingsProperty
,Dict
[str
,Any
],None
]) – The default EBS storage settings for a space.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker default_space_storage_settings_property = sagemaker.CfnDomain.DefaultSpaceStorageSettingsProperty( default_ebs_storage_settings=sagemaker.CfnDomain.DefaultEbsStorageSettingsProperty( default_ebs_volume_size_in_gb=123, maximum_ebs_volume_size_in_gb=123 ) )
Attributes
- default_ebs_storage_settings
The default EBS storage settings for a space.
DockerSettingsProperty
- class CfnDomain.DockerSettingsProperty(*, enable_docker_access=None, vpc_only_trusted_accounts=None)
Bases:
object
A collection of settings that configure the domain’s Docker interaction.
- Parameters:
enable_docker_access (
Optional
[str
]) – Indicates whether the domain can access Docker.vpc_only_trusted_accounts (
Optional
[Sequence
[str
]]) – The list of AWS accounts that are trusted when the domain is created in VPC-only mode.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker docker_settings_property = sagemaker.CfnDomain.DockerSettingsProperty( enable_docker_access="enableDockerAccess", vpc_only_trusted_accounts=["vpcOnlyTrustedAccounts"] )
Attributes
- enable_docker_access
Indicates whether the domain can access Docker.
- vpc_only_trusted_accounts
The list of AWS accounts that are trusted when the domain is created in VPC-only mode.
DomainSettingsProperty
- class CfnDomain.DomainSettingsProperty(*, docker_settings=None, r_studio_server_pro_domain_settings=None, security_group_ids=None)
Bases:
object
A collection of settings that apply to the
SageMaker Domain
.These settings are specified through the
CreateDomain
API call.- Parameters:
docker_settings (
Union
[IResolvable
,DockerSettingsProperty
,Dict
[str
,Any
],None
]) – A collection of settings that configure the domain’s Docker interaction.r_studio_server_pro_domain_settings (
Union
[IResolvable
,RStudioServerProDomainSettingsProperty
,Dict
[str
,Any
],None
]) – A collection of settings that configure theRStudioServerPro
Domain-level app.security_group_ids (
Optional
[Sequence
[str
]]) – The security groups for the Amazon Virtual Private Cloud that theDomain
uses for communication between Domain-level apps and user apps.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker domain_settings_property = sagemaker.CfnDomain.DomainSettingsProperty( docker_settings=sagemaker.CfnDomain.DockerSettingsProperty( enable_docker_access="enableDockerAccess", vpc_only_trusted_accounts=["vpcOnlyTrustedAccounts"] ), r_studio_server_pro_domain_settings=sagemaker.CfnDomain.RStudioServerProDomainSettingsProperty( domain_execution_role_arn="domainExecutionRoleArn", # the properties below are optional default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), r_studio_connect_url="rStudioConnectUrl", r_studio_package_manager_url="rStudioPackageManagerUrl" ), security_group_ids=["securityGroupIds"] )
Attributes
- docker_settings
A collection of settings that configure the domain’s Docker interaction.
- r_studio_server_pro_domain_settings
A collection of settings that configure the
RStudioServerPro
Domain-level app.
- security_group_ids
The security groups for the Amazon Virtual Private Cloud that the
Domain
uses for communication between Domain-level apps and user apps.
EFSFileSystemConfigProperty
- class CfnDomain.EFSFileSystemConfigProperty(*, file_system_id, file_system_path=None)
Bases:
object
The settings for assigning a custom Amazon EFS file system to a user profile or space for an Amazon SageMaker Domain.
- Parameters:
file_system_id (
str
) – The ID of your Amazon EFS file system.file_system_path (
Optional
[str
]) – The path to the file system directory that is accessible in Amazon SageMaker Studio. Permitted users can access only this directory and below.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker e_fSFile_system_config_property = sagemaker.CfnDomain.EFSFileSystemConfigProperty( file_system_id="fileSystemId", # the properties below are optional file_system_path="fileSystemPath" )
Attributes
- file_system_id
The ID of your Amazon EFS file system.
- file_system_path
The path to the file system directory that is accessible in Amazon SageMaker Studio.
Permitted users can access only this directory and below.
IdleSettingsProperty
- class CfnDomain.IdleSettingsProperty(*, idle_timeout_in_minutes=None, lifecycle_management=None, max_idle_timeout_in_minutes=None, min_idle_timeout_in_minutes=None)
Bases:
object
Settings related to idle shutdown of Studio applications.
- Parameters:
idle_timeout_in_minutes (
Union
[int
,float
,None
]) – The time that SageMaker waits after the application becomes idle before shutting it down.lifecycle_management (
Optional
[str
]) – Indicates whether idle shutdown is activated for the application type.max_idle_timeout_in_minutes (
Union
[int
,float
,None
]) – The maximum value in minutes that custom idle shutdown can be set to by the user.min_idle_timeout_in_minutes (
Union
[int
,float
,None
]) – The minimum value in minutes that custom idle shutdown can be set to by the user.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker idle_settings_property = sagemaker.CfnDomain.IdleSettingsProperty( idle_timeout_in_minutes=123, lifecycle_management="lifecycleManagement", max_idle_timeout_in_minutes=123, min_idle_timeout_in_minutes=123 )
Attributes
- idle_timeout_in_minutes
The time that SageMaker waits after the application becomes idle before shutting it down.
- lifecycle_management
Indicates whether idle shutdown is activated for the application type.
- max_idle_timeout_in_minutes
The maximum value in minutes that custom idle shutdown can be set to by the user.
- min_idle_timeout_in_minutes
The minimum value in minutes that custom idle shutdown can be set to by the user.
JupyterLabAppSettingsProperty
- class CfnDomain.JupyterLabAppSettingsProperty(*, app_lifecycle_management=None, code_repositories=None, custom_images=None, default_resource_spec=None, lifecycle_config_arns=None)
Bases:
object
The settings for the JupyterLab application.
- Parameters:
app_lifecycle_management (
Union
[IResolvable
,AppLifecycleManagementProperty
,Dict
[str
,Any
],None
]) – Indicates whether idle shutdown is activated for JupyterLab applications.code_repositories (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,CodeRepositoryProperty
,Dict
[str
,Any
]]],None
]) – A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterLab application.custom_images (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,CustomImageProperty
,Dict
[str
,Any
]]],None
]) – A list of custom SageMaker images that are configured to run as a JupyterLab app.default_resource_spec (
Union
[IResolvable
,ResourceSpecProperty
,Dict
[str
,Any
],None
]) – The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterLab app.lifecycle_config_arns (
Optional
[Sequence
[str
]]) – The Amazon Resource Name (ARN) of the lifecycle configurations attached to the user profile or domain. To remove a lifecycle config, you must setLifecycleConfigArns
to an empty list.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker jupyter_lab_app_settings_property = sagemaker.CfnDomain.JupyterLabAppSettingsProperty( app_lifecycle_management=sagemaker.CfnDomain.AppLifecycleManagementProperty( idle_settings=sagemaker.CfnDomain.IdleSettingsProperty( idle_timeout_in_minutes=123, lifecycle_management="lifecycleManagement", max_idle_timeout_in_minutes=123, min_idle_timeout_in_minutes=123 ) ), code_repositories=[sagemaker.CfnDomain.CodeRepositoryProperty( repository_url="repositoryUrl" )], custom_images=[sagemaker.CfnDomain.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )], default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), lifecycle_config_arns=["lifecycleConfigArns"] )
Attributes
- app_lifecycle_management
Indicates whether idle shutdown is activated for JupyterLab applications.
- code_repositories
A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterLab application.
- custom_images
A list of custom SageMaker images that are configured to run as a JupyterLab app.
- default_resource_spec
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterLab app.
- lifecycle_config_arns
The Amazon Resource Name (ARN) of the lifecycle configurations attached to the user profile or domain.
To remove a lifecycle config, you must set
LifecycleConfigArns
to an empty list.
JupyterServerAppSettingsProperty
- class CfnDomain.JupyterServerAppSettingsProperty(*, default_resource_spec=None, lifecycle_config_arns=None)
Bases:
object
The JupyterServer app settings.
- Parameters:
default_resource_spec (
Union
[IResolvable
,ResourceSpecProperty
,Dict
[str
,Any
],None
]) – The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterServer app.lifecycle_config_arns (
Optional
[Sequence
[str
]]) – The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp. If you use this parameter, theDefaultResourceSpec
parameter is also required. .. epigraph:: To remove a Lifecycle Config, you must setLifecycleConfigArns
to an empty list.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker jupyter_server_app_settings_property = sagemaker.CfnDomain.JupyterServerAppSettingsProperty( default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), lifecycle_config_arns=["lifecycleConfigArns"] )
Attributes
- default_resource_spec
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterServer app.
- lifecycle_config_arns
The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp.
If you use this parameter, the
DefaultResourceSpec
parameter is also required. .. epigraph:To remove a Lifecycle Config, you must set ``LifecycleConfigArns`` to an empty list.
KernelGatewayAppSettingsProperty
- class CfnDomain.KernelGatewayAppSettingsProperty(*, custom_images=None, default_resource_spec=None, lifecycle_config_arns=None)
Bases:
object
The KernelGateway app settings.
- Parameters:
custom_images (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,CustomImageProperty
,Dict
[str
,Any
]]],None
]) – A list of custom SageMaker images that are configured to run as a KernelGateway app.default_resource_spec (
Union
[IResolvable
,ResourceSpecProperty
,Dict
[str
,Any
],None
]) – The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the KernelGateway app. .. epigraph:: The Amazon SageMaker Studio UI does not use the default instance type value set here. The default instance type set here is used when Apps are created using the AWS CLI or AWS CloudFormation and the instance type parameter value is not passed.lifecycle_config_arns (
Optional
[Sequence
[str
]]) – The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain. .. epigraph:: To remove a Lifecycle Config, you must setLifecycleConfigArns
to an empty list.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker kernel_gateway_app_settings_property = sagemaker.CfnDomain.KernelGatewayAppSettingsProperty( custom_images=[sagemaker.CfnDomain.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )], default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), lifecycle_config_arns=["lifecycleConfigArns"] )
Attributes
- custom_images
A list of custom SageMaker images that are configured to run as a KernelGateway app.
- default_resource_spec
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the KernelGateway app.
The Amazon SageMaker Studio UI does not use the default instance type value set here. The default instance type set here is used when Apps are created using the AWS CLI or AWS CloudFormation and the instance type parameter value is not passed.
- lifecycle_config_arns
The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.
To remove a Lifecycle Config, you must set
LifecycleConfigArns
to an empty list.
RSessionAppSettingsProperty
- class CfnDomain.RSessionAppSettingsProperty(*, custom_images=None, default_resource_spec=None)
Bases:
object
A collection of settings that apply to an
RSessionGateway
app.- Parameters:
custom_images (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,CustomImageProperty
,Dict
[str
,Any
]]],None
]) – A list of custom SageMaker images that are configured to run as a RSession app.default_resource_spec (
Union
[IResolvable
,ResourceSpecProperty
,Dict
[str
,Any
],None
]) – Specifies the ARNs of a SageMaker image and SageMaker image version, and the instance type that the version runs on.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker r_session_app_settings_property = sagemaker.CfnDomain.RSessionAppSettingsProperty( custom_images=[sagemaker.CfnDomain.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )], default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ) )
Attributes
- custom_images
A list of custom SageMaker images that are configured to run as a RSession app.
- default_resource_spec
Specifies the ARNs of a SageMaker image and SageMaker image version, and the instance type that the version runs on.
RStudioServerProAppSettingsProperty
- class CfnDomain.RStudioServerProAppSettingsProperty(*, access_status=None, user_group=None)
Bases:
object
A collection of settings that configure user interaction with the
RStudioServerPro
app.- Parameters:
access_status (
Optional
[str
]) – Indicates whether the current user has access to theRStudioServerPro
app.user_group (
Optional
[str
]) – The level of permissions that the user has within theRStudioServerPro
app. This value defaults toUser
. TheAdmin
value allows the user access to the RStudio Administrative Dashboard.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker r_studio_server_pro_app_settings_property = sagemaker.CfnDomain.RStudioServerProAppSettingsProperty( access_status="accessStatus", user_group="userGroup" )
Attributes
- access_status
Indicates whether the current user has access to the
RStudioServerPro
app.
- user_group
The level of permissions that the user has within the
RStudioServerPro
app.This value defaults to
User
. TheAdmin
value allows the user access to the RStudio Administrative Dashboard.
RStudioServerProDomainSettingsProperty
- class CfnDomain.RStudioServerProDomainSettingsProperty(*, domain_execution_role_arn, default_resource_spec=None, r_studio_connect_url=None, r_studio_package_manager_url=None)
Bases:
object
A collection of settings that configure the
RStudioServerPro
Domain-level app.- Parameters:
domain_execution_role_arn (
str
) – The ARN of the execution role for theRStudioServerPro
Domain-level app.default_resource_spec (
Union
[IResolvable
,ResourceSpecProperty
,Dict
[str
,Any
],None
]) – A collection that defines the defaultInstanceType
,SageMakerImageArn
, andSageMakerImageVersionArn
for the Domain.r_studio_connect_url (
Optional
[str
]) – A URL pointing to an RStudio Connect server.r_studio_package_manager_url (
Optional
[str
]) – A URL pointing to an RStudio Package Manager server.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker r_studio_server_pro_domain_settings_property = sagemaker.CfnDomain.RStudioServerProDomainSettingsProperty( domain_execution_role_arn="domainExecutionRoleArn", # the properties below are optional default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), r_studio_connect_url="rStudioConnectUrl", r_studio_package_manager_url="rStudioPackageManagerUrl" )
Attributes
- default_resource_spec
A collection that defines the default
InstanceType
,SageMakerImageArn
, andSageMakerImageVersionArn
for the Domain.
- domain_execution_role_arn
The ARN of the execution role for the
RStudioServerPro
Domain-level app.
- r_studio_connect_url
A URL pointing to an RStudio Connect server.
- r_studio_package_manager_url
A URL pointing to an RStudio Package Manager server.
ResourceSpecProperty
- class CfnDomain.ResourceSpecProperty(*, instance_type=None, lifecycle_config_arn=None, sage_maker_image_arn=None, sage_maker_image_version_arn=None)
Bases:
object
Specifies the ARN’s of a SageMaker image and SageMaker image version, and the instance type that the version runs on.
- Parameters:
instance_type (
Optional
[str
]) – The instance type that the image version runs on. .. epigraph:: JupyterServer apps only support thesystem
value. For KernelGateway apps , thesystem
value is translated toml.t3.medium
. KernelGateway apps also support all other values for available instance types.lifecycle_config_arn (
Optional
[str
]) – The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.sage_maker_image_arn (
Optional
[str
]) – The ARN of the SageMaker image that the image version belongs to.sage_maker_image_version_arn (
Optional
[str
]) – The ARN of the image version created on the instance.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker resource_spec_property = sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" )
Attributes
- instance_type
The instance type that the image version runs on.
JupyterServer apps only support the
system
value.For KernelGateway apps , the
system
value is translated toml.t3.medium
. KernelGateway apps also support all other values for available instance types.
- lifecycle_config_arn
The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.
- sage_maker_image_arn
The ARN of the SageMaker image that the image version belongs to.
- sage_maker_image_version_arn
The ARN of the image version created on the instance.
StudioWebPortalSettingsProperty
- class CfnDomain.StudioWebPortalSettingsProperty(*, hidden_app_types=None, hidden_ml_tools=None)
Bases:
object
Studio settings.
If these settings are applied on a user level, they take priority over the settings applied on a domain level.
- Parameters:
hidden_app_types (
Optional
[Sequence
[str
]]) – The Applications supported in Studio that are hidden from the Studio left navigation pane.hidden_ml_tools (
Optional
[Sequence
[str
]]) – The machine learning tools that are hidden from the Studio left navigation pane.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker studio_web_portal_settings_property = sagemaker.CfnDomain.StudioWebPortalSettingsProperty( hidden_app_types=["hiddenAppTypes"], hidden_ml_tools=["hiddenMlTools"] )
Attributes
//docs.aws.amazon.com/sagemaker/latest/dg/studio-updated-apps.html>`_ that are hidden from the Studio left navigation pane.
- See:
- Type:
The `Applications supported in Studio <https
The machine learning tools that are hidden from the Studio left navigation pane.
UserSettingsProperty
- class CfnDomain.UserSettingsProperty(*, execution_role, code_editor_app_settings=None, custom_file_system_configs=None, custom_posix_user_config=None, default_landing_uri=None, jupyter_lab_app_settings=None, jupyter_server_app_settings=None, kernel_gateway_app_settings=None, r_session_app_settings=None, r_studio_server_pro_app_settings=None, security_groups=None, sharing_settings=None, space_storage_settings=None, studio_web_portal=None, studio_web_portal_settings=None)
Bases:
object
A collection of settings that apply to users of Amazon SageMaker Studio.
These settings are specified when the CreateUserProfile API is called, and as
DefaultUserSettings
when the CreateDomain API is called.SecurityGroups
is aggregated when specified in both calls. For all other settings inUserSettings
, the values specified inCreateUserProfile
take precedence over those specified inCreateDomain
.- Parameters:
execution_role (
str
) – The execution role for the user.code_editor_app_settings (
Union
[IResolvable
,CodeEditorAppSettingsProperty
,Dict
[str
,Any
],None
]) – The Code Editor application settings.custom_file_system_configs (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,CustomFileSystemConfigProperty
,Dict
[str
,Any
]]],None
]) – The settings for assigning a custom file system to a user profile. Permitted users can access this file system in Amazon SageMaker Studio.custom_posix_user_config (
Union
[IResolvable
,CustomPosixUserConfigProperty
,Dict
[str
,Any
],None
]) – Details about the POSIX identity that is used for file system operations.default_landing_uri (
Optional
[str
]) – The default experience that the user is directed to when accessing the domain. The supported values are:. -studio::
: Indicates that Studio is the default experience. This value can only be passed ifStudioWebPortal
is set toENABLED
. -app:JupyterServer:
: Indicates that Studio Classic is the default experience.jupyter_lab_app_settings (
Union
[IResolvable
,JupyterLabAppSettingsProperty
,Dict
[str
,Any
],None
]) – The settings for the JupyterLab application.jupyter_server_app_settings (
Union
[IResolvable
,JupyterServerAppSettingsProperty
,Dict
[str
,Any
],None
]) – The Jupyter server’s app settings.kernel_gateway_app_settings (
Union
[IResolvable
,KernelGatewayAppSettingsProperty
,Dict
[str
,Any
],None
]) – The kernel gateway app settings.r_session_app_settings (
Union
[IResolvable
,RSessionAppSettingsProperty
,Dict
[str
,Any
],None
]) – A collection of settings that configure theRSessionGateway
app.r_studio_server_pro_app_settings (
Union
[IResolvable
,RStudioServerProAppSettingsProperty
,Dict
[str
,Any
],None
]) – A collection of settings that configure user interaction with theRStudioServerPro
app.security_groups (
Optional
[Sequence
[str
]]) – The security groups for the Amazon Virtual Private Cloud (VPC) that the domain uses for communication. Optional when theCreateDomain.AppNetworkAccessType
parameter is set toPublicInternetOnly
. Required when theCreateDomain.AppNetworkAccessType
parameter is set toVpcOnly
, unless specified as part of theDefaultUserSettings
for the domain. Amazon SageMaker adds a security group to allow NFS traffic from Amazon SageMaker Studio. Therefore, the number of security groups that you can specify is one less than the maximum number shown.sharing_settings (
Union
[IResolvable
,SharingSettingsProperty
,Dict
[str
,Any
],None
]) – Specifies options for sharing Amazon SageMaker Studio notebooks.space_storage_settings (
Union
[IResolvable
,DefaultSpaceStorageSettingsProperty
,Dict
[str
,Any
],None
]) – The storage settings for a space.studio_web_portal (
Optional
[str
]) – Whether the user can access Studio. If this value is set toDISABLED
, the user cannot access Studio, even if that is the default experience for the domain.studio_web_portal_settings (
Union
[IResolvable
,StudioWebPortalSettingsProperty
,Dict
[str
,Any
],None
]) – Studio settings. If these settings are applied on a user level, they take priority over the settings applied on a domain level.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_sagemaker as sagemaker user_settings_property = sagemaker.CfnDomain.UserSettingsProperty( execution_role="executionRole", # the properties below are optional code_editor_app_settings=sagemaker.CfnDomain.CodeEditorAppSettingsProperty( app_lifecycle_management=sagemaker.CfnDomain.AppLifecycleManagementProperty( idle_settings=sagemaker.CfnDomain.IdleSettingsProperty( idle_timeout_in_minutes=123, lifecycle_management="lifecycleManagement", max_idle_timeout_in_minutes=123, min_idle_timeout_in_minutes=123 ) ), custom_images=[sagemaker.CfnDomain.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )], default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), lifecycle_config_arns=["lifecycleConfigArns"] ), custom_file_system_configs=[sagemaker.CfnDomain.CustomFileSystemConfigProperty( efs_file_system_config=sagemaker.CfnDomain.EFSFileSystemConfigProperty( file_system_id="fileSystemId", # the properties below are optional file_system_path="fileSystemPath" ) )], custom_posix_user_config=sagemaker.CfnDomain.CustomPosixUserConfigProperty( gid=123, uid=123 ), default_landing_uri="defaultLandingUri", jupyter_lab_app_settings=sagemaker.CfnDomain.JupyterLabAppSettingsProperty( app_lifecycle_management=sagemaker.CfnDomain.AppLifecycleManagementProperty( idle_settings=sagemaker.CfnDomain.IdleSettingsProperty( idle_timeout_in_minutes=123, lifecycle_management="lifecycleManagement", max_idle_timeout_in_minutes=123, min_idle_timeout_in_minutes=123 ) ), code_repositories=[sagemaker.CfnDomain.CodeRepositoryProperty( repository_url="repositoryUrl" )], custom_images=[sagemaker.CfnDomain.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )], default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), lifecycle_config_arns=["lifecycleConfigArns"] ), jupyter_server_app_settings=sagemaker.CfnDomain.JupyterServerAppSettingsProperty( default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), lifecycle_config_arns=["lifecycleConfigArns"] ), kernel_gateway_app_settings=sagemaker.CfnDomain.KernelGatewayAppSettingsProperty( custom_images=[sagemaker.CfnDomain.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )], default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ), lifecycle_config_arns=["lifecycleConfigArns"] ), r_session_app_settings=sagemaker.CfnDomain.RSessionAppSettingsProperty( custom_images=[sagemaker.CfnDomain.CustomImageProperty( app_image_config_name="appImageConfigName", image_name="imageName", # the properties below are optional image_version_number=123 )], default_resource_spec=sagemaker.CfnDomain.ResourceSpecProperty( instance_type="instanceType", lifecycle_config_arn="lifecycleConfigArn", sage_maker_image_arn="sageMakerImageArn", sage_maker_image_version_arn="sageMakerImageVersionArn" ) ), r_studio_server_pro_app_settings=sagemaker.CfnDomain.RStudioServerProAppSettingsProperty( access_status="accessStatus", user_group="userGroup" ), security_groups=["securityGroups"], sharing_settings=sagemaker.CfnDomain.SharingSettingsProperty( notebook_output_option="notebookOutputOption", s3_kms_key_id="s3KmsKeyId", s3_output_path="s3OutputPath" ), space_storage_settings=sagemaker.CfnDomain.DefaultSpaceStorageSettingsProperty( default_ebs_storage_settings=sagemaker.CfnDomain.DefaultEbsStorageSettingsProperty( default_ebs_volume_size_in_gb=123, maximum_ebs_volume_size_in_gb=123 ) ), studio_web_portal="studioWebPortal", studio_web_portal_settings=sagemaker.CfnDomain.StudioWebPortalSettingsProperty( hidden_app_types=["hiddenAppTypes"], hidden_ml_tools=["hiddenMlTools"] ) )
Attributes
- code_editor_app_settings
The Code Editor application settings.
- custom_file_system_configs
The settings for assigning a custom file system to a user profile.
Permitted users can access this file system in Amazon SageMaker Studio.
- custom_posix_user_config
Details about the POSIX identity that is used for file system operations.
- default_landing_uri
.
studio::
: Indicates that Studio is the default experience. This value can only be passed ifStudioWebPortal
is set toENABLED
.app:JupyterServer:
: Indicates that Studio Classic is the default experience.
- See:
- Type:
The default experience that the user is directed to when accessing the domain. The supported values are
- execution_role
The execution role for the user.
- jupyter_lab_app_settings
The settings for the JupyterLab application.
- jupyter_server_app_settings
The Jupyter server’s app settings.
- kernel_gateway_app_settings
The kernel gateway app settings.
- r_session_app_settings
A collection of settings that configure the
RSessionGateway
app.
- r_studio_server_pro_app_settings
A collection of settings that configure user interaction with the
RStudioServerPro
app.
- security_groups
The security groups for the Amazon Virtual Private Cloud (VPC) that the domain uses for communication.
Optional when the
CreateDomain.AppNetworkAccessType
parameter is set toPublicInternetOnly
.Required when the
CreateDomain.AppNetworkAccessType
parameter is set toVpcOnly
, unless specified as part of theDefaultUserSettings
for the domain.Amazon SageMaker adds a security group to allow NFS traffic from Amazon SageMaker Studio. Therefore, the number of security groups that you can specify is one less than the maximum number shown.
- sharing_settings
Specifies options for sharing Amazon SageMaker Studio notebooks.
- space_storage_settings
The storage settings for a space.
- studio_web_portal
Whether the user can access Studio.
If this value is set to
DISABLED
, the user cannot access Studio, even if that is the default experience for the domain.
- studio_web_portal_settings
Studio settings.
If these settings are applied on a user level, they take priority over the settings applied on a domain level.