SageMaker Endpoint Configuration

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An Amazon SageMaker Endpoint Configuration defines how a SageMaker endpoint will serve machine learning models. It specifies one or more production variants, including the model to use, the instance type, and the number of instances. This configuration allows you to control deployment settings such as traffic distribution, autoscaling, and encryption. It is a prerequisite for creating a SageMaker endpoint, ensuring that models are deployed with the desired compute resources and operational parameters.

aws.sagemaker_endpoint_config

Fields

ID	Type	Data Type	Description
_key	core	string
account_id	core	string
async_inference_config	core	json	Returns the description of an endpoint configuration created using the CreateEndpointConfig API.
creation_time	core	timestamp	A timestamp that shows when the endpoint configuration was created.
data_capture_config	core	json	Configuration to control how SageMaker AI captures inference data.
enable_network_isolation	core	bool	Indicates 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.
endpoint_config_arn	core	string	The Amazon Resource Name (ARN) of the endpoint configuration.
endpoint_config_name	core	string	Name of the SageMaker endpoint configuration.
execution_role_arn	core	string	The Amazon Resource Name (ARN) of the IAM role that you assigned to the endpoint configuration.
explainer_config	core	json	The configuration parameters for an explainer.
kms_key_id	core	string	Amazon Web Services KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the instance.
production_variants	core	json	An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
shadow_production_variants	core	json	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	core	hstore
vpc_config	core	json	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.