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
A CloudFormation
AWS::SageMaker::Domain
.Creates a
Domain
used by Amazon SageMaker Studio. A domain consists of an associated Amazon Elastic File System (EFS) 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 SageMaker Studio traffic between the domain and the EFS volume is through the specified VPC and subnets. For other Studio traffic, you can specify the
AppNetworkAccessType
parameter.AppNetworkAccessType
corresponds to the network access type that you choose when you onboard to Studio. 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 Studio 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 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 SageMaker Studio app successfully.
For more information, see Connect SageMaker Studio Notebooks to Resources in a VPC .
- CloudformationResource:
AWS::SageMaker::Domain
- Link:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-sagemaker-domain.html
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.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 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" ) ), 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" ) ), 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" ) ), 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 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" ) ), 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" ) ), security_groups=["securityGroups"] ), domain_settings=sagemaker.CfnDomain.DomainSettingsProperty( 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" )] )
Create a new
AWS::SageMaker::Domain
.- Parameters:
scope (
Construct
) –scope in which this resource is defined.
id (
str
) –scoped id of the resource.
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
]) –AWS::SageMaker::Domain.DefaultSpaceSettings
.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_depends_on(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_metadata(key, value)
Add a value to the CloudFormation Resource Metadata.
- Parameters:
key (
str
)value (
Any
)
- See:
- Return type:
None
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 intermdediate 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
).- 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 resoure, please consult that specific resource’s documentation.
- Return type:
None
- get_att(attribute_name)
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.- Return type:
- get_metadata(key)
Retrieve a value value from the CloudFormation Resource Metadata.
- Parameters:
key (
str
)- See:
- Return type:
Any
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
- 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
- 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
.PublicInternetOnly
- Non-EFS traffic is through a VPC managed by Amazon SageMaker , which allows direct internet accessVpcOnly
- All Studio traffic is through the specified VPC and subnets
Valid Values :
PublicInternetOnly | VpcOnly
- app_security_group_management
The entity that creates and manages the required security groups for inter-app communication in
VpcOnly
mode.Required when
CreateDomain.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
- 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_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.
Valid Values :
SSO | IAM
- 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
AWS::SageMaker::Domain.DefaultSpaceSettings
.
- default_user_settings
The default user settings.
- domain_name
The domain name.
- domain_settings
A collection of settings that apply to the
SageMaker Domain
.These settings are specified through the
CreateDomain
API call.
- 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.
For more control, specify a customer managed CMK.
Length Constraints : Maximum length of 2048.
Pattern :
.*
- 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 construct tree node associated with this construct.
- 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.
Length Constraints : Maximum length of 32.
Array members : Minimum number of 1 item. Maximum number of 16 items.
Pattern :
[-0-9a-zA-Z]+
- tags
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.
- vpc_id
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]+
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(construct)
Check whether the given construct is a CfnResource.
- Parameters:
construct (
IConstruct
)- Return type:
bool
- classmethod is_construct(x)
Return whether the given object is a Construct.
- Parameters:
x (
Any
)- Return type:
bool
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.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.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.
DefaultSpaceSettingsProperty
- class CfnDomain.DefaultSpaceSettingsProperty(*, execution_role, jupyter_server_app_settings=None, kernel_gateway_app_settings=None, security_groups=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.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 Virtual Private Cloud that the space uses for communication.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_sagemaker as sagemaker default_space_settings_property = sagemaker.CfnDomain.DefaultSpaceSettingsProperty( execution_role="executionRole", # the properties below are optional 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" ) ), 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" ) ), security_groups=["securityGroups"] )
Attributes
- execution_role
The ARN of the execution role for the space.
- 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 Virtual Private Cloud that the space uses for communication.
DomainSettingsProperty
- class CfnDomain.DomainSettingsProperty(*, 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:
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.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_sagemaker as sagemaker domain_settings_property = sagemaker.CfnDomain.DomainSettingsProperty( 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
- 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.
JupyterServerAppSettingsProperty
- class CfnDomain.JupyterServerAppSettingsProperty(*, default_resource_spec=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.- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.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" ) )
Attributes
- default_resource_spec
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterServer app.
KernelGatewayAppSettingsProperty
- class CfnDomain.KernelGatewayAppSettingsProperty(*, custom_images=None, default_resource_spec=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 Command Line Interface or AWS CloudFormation and the instance type parameter value is not passed.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.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" ) )
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 Command Line Interface or AWS CloudFormation and the instance type parameter value is not passed.
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.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.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.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.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.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.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.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.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.
UserSettingsProperty
- class CfnDomain.UserSettingsProperty(*, execution_role, 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)
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.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 Studio 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 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 SageMaker Studio notebooks.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_sagemaker as sagemaker user_settings_property = sagemaker.CfnDomain.UserSettingsProperty( execution_role="executionRole", # the properties below are optional 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" ) ), 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" ) ), 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" ) )
Attributes
- execution_role
The execution role for the user.
- 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 Studio 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 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 SageMaker Studio notebooks.