UserProfile is the Schema for the UserProfiles API. Provides a SageMaker User Profile resource.
Type
CRD
Group
sagemaker.aws.upbound.io
Version
v1beta1
apiVersion: sagemaker.aws.upbound.io/v1beta1
kind: UserProfile
UserProfileSpec defines the desired state of UserProfile
No description provided.
Reference to a Domain in sagemaker to populate domainId.
Policies for referencing.
Selector for a Domain in sagemaker to populate domainId.
Policies for selection.
The user settings. See User Settings below.
The Canvas app settings. See Canvas App Settings below.
The model deployment settings for the SageMaker Canvas application. See Direct Deploy Settings below.
The settings for connecting to an external data source with OAuth. See Identity Provider OAuth Settings below.
The settings for document querying. See Kendra Settings below.
The model registry settings for the SageMaker Canvas application. See Model Register Settings below.
Time series forecast settings for the Canvas app. See Time Series Forecasting Settings below.
The workspace settings for the SageMaker Canvas application. See Workspace Settings below.
The Code Editor application settings. See Code Editor App Settings below.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. see Default Resource Spec below.
The Amazon Resource Name (ARN) of the Lifecycle Configurations.
The settings for assigning a custom file system to a user profile. Permitted users can access this file system in Amazon SageMaker Studio. See Custom File System Config below.
The default EBS storage settings for a private space. See EFS File System Config below.
The settings for the JupyterLab application. See Jupyter Lab App Settings below.
A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterServer application. see Code Repository below.
A list of custom SageMaker images that are configured to run as a KernelGateway app. see Custom Image below.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. see Default Resource Spec below.
The Amazon Resource Name (ARN) of the Lifecycle Configurations.
The Jupyter server's app settings. See Jupyter Server App Settings below.
A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterServer application. see Code Repository below.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. see Default Resource Spec below.
The Amazon Resource Name (ARN) of the Lifecycle Configurations.
The kernel gateway app settings. See Kernel Gateway App Settings below.
A list of custom SageMaker images that are configured to run as a KernelGateway app. see Custom Image below.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. see Default Resource Spec below.
The Amazon Resource Name (ARN) of the Lifecycle Configurations.
The RSession app settings. See RSession App Settings below.
A list of custom SageMaker images that are configured to run as a KernelGateway app. see Custom Image below.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. see Default Resource Spec below.
A collection of settings that configure user interaction with the RStudioServerPro app. See RStudioServerProAppSettings below.
A list of security group IDs that will be attached to the user.
The sharing settings. See Sharing Settings below.
The storage settings for a private space. See Space Storage Settings below.
The default EBS storage settings for a private space. See Default EBS Storage Settings below.
The TensorBoard app settings. See TensorBoard App Settings below.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. see Default Resource Spec below.
THIS IS A BETA FIELD. It will be honored unless the Management Policies feature flag is disabled. InitProvider holds the same fields as ForProvider, with the exception of Identifier and other resource reference fields. The fields that are in InitProvider are merged into ForProvider when the resource is created. The same fields are also added to the terraform ignore_changes hook, to avoid updating them after creation. This is useful for fields that are required on creation, but we do not desire to update them after creation, for example because of an external controller is managing them, like an autoscaler.
Reference to a Domain in sagemaker to populate domainId.
Policies for referencing.
Selector for a Domain in sagemaker to populate domainId.
Policies for selection.
The user settings. See User Settings below.
The Canvas app settings. See Canvas App Settings below.
The model deployment settings for the SageMaker Canvas application. See Direct Deploy Settings below.
The settings for connecting to an external data source with OAuth. See Identity Provider OAuth Settings below.
The settings for document querying. See Kendra Settings below.
The model registry settings for the SageMaker Canvas application. See Model Register Settings below.
Time series forecast settings for the Canvas app. See Time Series Forecasting Settings below.
The workspace settings for the SageMaker Canvas application. See Workspace Settings below.
The Code Editor application settings. See Code Editor App Settings below.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. see Default Resource Spec below.
The Amazon Resource Name (ARN) of the Lifecycle Configurations.
The settings for assigning a custom file system to a user profile. Permitted users can access this file system in Amazon SageMaker Studio. See Custom File System Config below.
The default EBS storage settings for a private space. See EFS File System Config below.
The settings for the JupyterLab application. See Jupyter Lab App Settings below.
A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterServer application. see Code Repository below.
A list of custom SageMaker images that are configured to run as a KernelGateway app. see Custom Image below.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. see Default Resource Spec below.
The Amazon Resource Name (ARN) of the Lifecycle Configurations.
The Jupyter server's app settings. See Jupyter Server App Settings below.
A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterServer application. see Code Repository below.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. see Default Resource Spec below.
The Amazon Resource Name (ARN) of the Lifecycle Configurations.
The kernel gateway app settings. See Kernel Gateway App Settings below.
A list of custom SageMaker images that are configured to run as a KernelGateway app. see Custom Image below.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. see Default Resource Spec below.
The Amazon Resource Name (ARN) of the Lifecycle Configurations.
The RSession app settings. See RSession App Settings below.
A list of custom SageMaker images that are configured to run as a KernelGateway app. see Custom Image below.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. see Default Resource Spec below.
A collection of settings that configure user interaction with the RStudioServerPro app. See RStudioServerProAppSettings below.
A list of security group IDs that will be attached to the user.
The sharing settings. See Sharing Settings below.
The storage settings for a private space. See Space Storage Settings below.
The default EBS storage settings for a private space. See Default EBS Storage Settings below.
The TensorBoard app settings. See TensorBoard App Settings below.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. see Default Resource Spec below.
THIS IS A BETA FIELD. It is on by default but can be opted out through a Crossplane feature flag. ManagementPolicies specify the array of actions Crossplane is allowed to take on the managed and external resources. This field is planned to replace the DeletionPolicy field in a future release. Currently, both could be set independently and non-default values would be honored if the feature flag is enabled. If both are custom, the DeletionPolicy field will be ignored. See the design doc for more information: https://github.com/crossplane/crossplane/blob/499895a25d1a1a0ba1604944ef98ac7a1a71f197/design/design-doc-observe-only-resources.md?plain=1#L223 and this one: https://github.com/crossplane/crossplane/blob/444267e84783136daa93568b364a5f01228cacbe/design/one-pager-ignore-changes.md
ProviderConfigReference specifies how the provider that will be used to create, observe, update, and delete this managed resource should be configured.
Policies for referencing.
PublishConnectionDetailsTo specifies the connection secret config which contains a name, metadata and a reference to secret store config to which any connection details for this managed resource should be written. Connection details frequently include the endpoint, username, and password required to connect to the managed resource.
WriteConnectionSecretToReference specifies the namespace and name of a Secret to which any connection details for this managed resource should be written. Connection details frequently include the endpoint, username, and password required to connect to the managed resource. This field is planned to be replaced in a future release in favor of PublishConnectionDetailsTo. Currently, both could be set independently and connection details would be published to both without affecting each other.
UserProfileStatus defines the observed state of UserProfile.
No description provided.
The user settings. See User Settings below.
The Canvas app settings. See Canvas App Settings below.
The model deployment settings for the SageMaker Canvas application. See Direct Deploy Settings below.
The settings for connecting to an external data source with OAuth. See Identity Provider OAuth Settings below.
The settings for document querying. See Kendra Settings below.
The model registry settings for the SageMaker Canvas application. See Model Register Settings below.
Time series forecast settings for the Canvas app. See Time Series Forecasting Settings below.
The workspace settings for the SageMaker Canvas application. See Workspace Settings below.
The Code Editor application settings. See Code Editor App Settings below.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. see Default Resource Spec below.
The Amazon Resource Name (ARN) of the Lifecycle Configurations.
The settings for assigning a custom file system to a user profile. Permitted users can access this file system in Amazon SageMaker Studio. See Custom File System Config below.
The default EBS storage settings for a private space. See EFS File System Config below.
The settings for the JupyterLab application. See Jupyter Lab App Settings below.
A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterServer application. see Code Repository below.
A list of custom SageMaker images that are configured to run as a KernelGateway app. see Custom Image below.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. see Default Resource Spec below.
The Amazon Resource Name (ARN) of the Lifecycle Configurations.
The Jupyter server's app settings. See Jupyter Server App Settings below.
A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterServer application. see Code Repository below.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. see Default Resource Spec below.
The Amazon Resource Name (ARN) of the Lifecycle Configurations.
The kernel gateway app settings. See Kernel Gateway App Settings below.
A list of custom SageMaker images that are configured to run as a KernelGateway app. see Custom Image below.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. see Default Resource Spec below.
The Amazon Resource Name (ARN) of the Lifecycle Configurations.
The RSession app settings. See RSession App Settings below.
A list of custom SageMaker images that are configured to run as a KernelGateway app. see Custom Image below.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. see Default Resource Spec below.
A collection of settings that configure user interaction with the RStudioServerPro app. See RStudioServerProAppSettings below.
A list of security group IDs that will be attached to the user.
The sharing settings. See Sharing Settings below.
The storage settings for a private space. See Space Storage Settings below.
The default EBS storage settings for a private space. See Default EBS Storage Settings below.
The TensorBoard app settings. See TensorBoard App Settings below.
The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance. see Default Resource Spec below.
Conditions of the resource.
example
apiVersion: sagemaker.aws.upbound.io/v1beta1
kind: UserProfile
metadata:
annotations:
meta.upbound.io/example-id: sagemaker/v1beta1/userprofile
labels:
testing.upbound.io/example-name: example
name: example
spec:
forProvider:
domainIdSelector:
matchLabels:
testing.upbound.io/example-name: example-domain
region: us-east-1
userProfileName: example
example
apiVersion: sagemaker.aws.upbound.io/v1beta1
kind: UserProfile
metadata:
annotations:
meta.upbound.io/example-id: sagemaker/v1beta1/app
labels:
testing.upbound.io/example-name: example
name: example
spec:
forProvider:
domainIdSelector:
matchLabels:
testing.upbound.io/example-name: example-domain
region: us-east-1
userProfileName: example
© 2022 Upbound, Inc.
Discover the building blocksfor your internal cloud platform.