Class: Aws::SageMaker::Types::CreateEndpointConfigInput
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::CreateEndpointConfigInput
- Includes:
- Aws::Structure
- Defined in:
- lib/aws-sdk-sagemaker/types.rb
Overview
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#async_inference_config ⇒ Types::AsyncInferenceConfig
Specifies configuration for how an endpoint performs asynchronous inference.
-
#data_capture_config ⇒ Types::DataCaptureConfig
Configuration to control how SageMaker AI captures inference data.
-
#enable_network_isolation ⇒ Boolean
Sets whether all model containers deployed to the endpoint are isolated.
-
#endpoint_config_name ⇒ String
The name of the endpoint configuration.
-
#execution_role_arn ⇒ String
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform actions on your behalf.
-
#explainer_config ⇒ Types::ExplainerConfig
A member of ‘CreateEndpointConfig` that enables explainers.
-
#kms_key_id ⇒ String
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
-
#production_variants ⇒ Array<Types::ProductionVariant>
An array of ‘ProductionVariant` objects, one for each model that you want to host at this endpoint.
-
#shadow_production_variants ⇒ Array<Types::ProductionVariant>
An array of ‘ProductionVariant` objects, one for each model that you want to host at this endpoint in shadow mode with production traffic replicated from the model specified on `ProductionVariants`.
-
#tags ⇒ Array<Types::Tag>
An array of key-value pairs.
-
#vpc_config ⇒ Types::VpcConfig
Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources have access to.
Instance Attribute Details
#async_inference_config ⇒ Types::AsyncInferenceConfig
Specifies configuration for how an endpoint performs asynchronous inference. This is a required field in order for your Endpoint to be invoked using [InvokeEndpointAsync].
[1]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_runtime_InvokeEndpointAsync.html
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# File 'lib/aws-sdk-sagemaker/types.rb', line 6996 class CreateEndpointConfigInput < Struct.new( :endpoint_config_name, :production_variants, :data_capture_config, :tags, :kms_key_id, :async_inference_config, :explainer_config, :shadow_production_variants, :execution_role_arn, :vpc_config, :enable_network_isolation) SENSITIVE = [] include Aws::Structure end |
#data_capture_config ⇒ Types::DataCaptureConfig
Configuration to control how SageMaker AI captures inference data.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 6996 class CreateEndpointConfigInput < Struct.new( :endpoint_config_name, :production_variants, :data_capture_config, :tags, :kms_key_id, :async_inference_config, :explainer_config, :shadow_production_variants, :execution_role_arn, :vpc_config, :enable_network_isolation) SENSITIVE = [] include Aws::Structure end |
#enable_network_isolation ⇒ Boolean
Sets whether all model containers deployed to the endpoint are isolated. If they are, no inbound or outbound network calls can be made to or from the model containers.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 6996 class CreateEndpointConfigInput < Struct.new( :endpoint_config_name, :production_variants, :data_capture_config, :tags, :kms_key_id, :async_inference_config, :explainer_config, :shadow_production_variants, :execution_role_arn, :vpc_config, :enable_network_isolation) SENSITIVE = [] include Aws::Structure end |
#endpoint_config_name ⇒ String
The name of the endpoint configuration. You specify this name in a
- CreateEndpoint][1
-
request.
[1]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpoint.html
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# File 'lib/aws-sdk-sagemaker/types.rb', line 6996 class CreateEndpointConfigInput < Struct.new( :endpoint_config_name, :production_variants, :data_capture_config, :tags, :kms_key_id, :async_inference_config, :explainer_config, :shadow_production_variants, :execution_role_arn, :vpc_config, :enable_network_isolation) SENSITIVE = [] include Aws::Structure end |
#execution_role_arn ⇒ String
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform actions on your behalf. For more information, see [SageMaker AI Roles].
<note markdown=“1”> To be able to pass this role to Amazon SageMaker AI, the caller of this action must have the ‘iam:PassRole` permission.
</note>
[1]: docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html
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# File 'lib/aws-sdk-sagemaker/types.rb', line 6996 class CreateEndpointConfigInput < Struct.new( :endpoint_config_name, :production_variants, :data_capture_config, :tags, :kms_key_id, :async_inference_config, :explainer_config, :shadow_production_variants, :execution_role_arn, :vpc_config, :enable_network_isolation) SENSITIVE = [] include Aws::Structure end |
#explainer_config ⇒ Types::ExplainerConfig
A member of ‘CreateEndpointConfig` that enables explainers.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 6996 class CreateEndpointConfigInput < Struct.new( :endpoint_config_name, :production_variants, :data_capture_config, :tags, :kms_key_id, :async_inference_config, :explainer_config, :shadow_production_variants, :execution_role_arn, :vpc_config, :enable_network_isolation) SENSITIVE = [] include Aws::Structure end |
#kms_key_id ⇒ String
The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
The KmsKeyId can be any of the following formats:
-
Key ID: ‘1234abcd-12ab-34cd-56ef-1234567890ab`
-
Key ARN: ‘arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab`
-
Alias name: ‘alias/ExampleAlias`
-
Alias name ARN: ‘arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias`
The KMS key policy must grant permission to the IAM role that you specify in your ‘CreateEndpoint`, `UpdateEndpoint` requests. For more information, refer to the Amazon Web Services Key Management Service section[ Using Key Policies in Amazon Web Services KMS ][1]
<note markdown=“1”> Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can’t request a ‘KmsKeyId` when using an instance type with local storage. If any of the models that you specify in the `ProductionVariants` parameter use nitro-based instances with local storage, do not specify a value for the `KmsKeyId` parameter. If you specify a value for `KmsKeyId` when using any nitro-based instances with local storage, the call to `CreateEndpointConfig` fails.
For a list of instance types that support local instance storage,
see [Instance Store Volumes].
For more information about local instance storage encryption, see
[SSD Instance Store Volumes].
</note>
[1]: docs.aws.amazon.com/kms/latest/developerguide/key-policies.html [2]: docs.aws.amazon.com/AWSEC2/latest/UserGuide/InstanceStorage.html#instance-store-volumes [3]: docs.aws.amazon.com/AWSEC2/latest/UserGuide/ssd-instance-store.html
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# File 'lib/aws-sdk-sagemaker/types.rb', line 6996 class CreateEndpointConfigInput < Struct.new( :endpoint_config_name, :production_variants, :data_capture_config, :tags, :kms_key_id, :async_inference_config, :explainer_config, :shadow_production_variants, :execution_role_arn, :vpc_config, :enable_network_isolation) SENSITIVE = [] include Aws::Structure end |
#production_variants ⇒ Array<Types::ProductionVariant>
An array of ‘ProductionVariant` objects, one for each model that you want to host at this endpoint.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 6996 class CreateEndpointConfigInput < Struct.new( :endpoint_config_name, :production_variants, :data_capture_config, :tags, :kms_key_id, :async_inference_config, :explainer_config, :shadow_production_variants, :execution_role_arn, :vpc_config, :enable_network_isolation) SENSITIVE = [] include Aws::Structure end |
#shadow_production_variants ⇒ Array<Types::ProductionVariant>
An array of ‘ProductionVariant` objects, one for each model that you want to host at this endpoint in shadow mode with production traffic replicated from the model specified on `ProductionVariants`. If you use this field, you can only specify one variant for `ProductionVariants` and one variant for `ShadowProductionVariants`.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 6996 class CreateEndpointConfigInput < Struct.new( :endpoint_config_name, :production_variants, :data_capture_config, :tags, :kms_key_id, :async_inference_config, :explainer_config, :shadow_production_variants, :execution_role_arn, :vpc_config, :enable_network_isolation) SENSITIVE = [] include Aws::Structure end |
#tags ⇒ Array<Types::Tag>
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see [Tagging Amazon Web Services Resources].
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# File 'lib/aws-sdk-sagemaker/types.rb', line 6996 class CreateEndpointConfigInput < Struct.new( :endpoint_config_name, :production_variants, :data_capture_config, :tags, :kms_key_id, :async_inference_config, :explainer_config, :shadow_production_variants, :execution_role_arn, :vpc_config, :enable_network_isolation) SENSITIVE = [] include Aws::Structure end |
#vpc_config ⇒ Types::VpcConfig
Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources have access to. You can control access to and from your resources by configuring a VPC. For more information, see [Give SageMaker Access to Resources in your Amazon VPC].
[1]: docs.aws.amazon.com/sagemaker/latest/dg/infrastructure-give-access.html
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# File 'lib/aws-sdk-sagemaker/types.rb', line 6996 class CreateEndpointConfigInput < Struct.new( :endpoint_config_name, :production_variants, :data_capture_config, :tags, :kms_key_id, :async_inference_config, :explainer_config, :shadow_production_variants, :execution_role_arn, :vpc_config, :enable_network_isolation) SENSITIVE = [] include Aws::Structure end |