SageMaker Endpoint

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An AWS SageMaker Endpoint is a fully managed service that hosts trained machine learning models for real-time inference. Once a model is deployed to an endpoint, it can receive input data and return predictions with low latency. Endpoints are scalable, allowing automatic adjustment of compute resources based on traffic. They support multiple instance types and configurations to balance performance and cost.

aws.sagemaker_endpoint

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 was created.
data_capture_config	core	json	The currently active data capture configuration used by your Endpoint.
endpoint_arn	core	string	The Amazon Resource Name (ARN) of the endpoint.
endpoint_config_name	core	string	The name of the endpoint configuration associated with this endpoint.
endpoint_name	core	string	Name of the endpoint.
endpoint_status	core	string	The status of the endpoint. OutOfService: Endpoint is not available to take incoming requests. Creating: CreateEndpoint is executing. Updating: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing. SystemUpdating: Endpoint is undergoing maintenance and cannot be updated or deleted or re-scaled until it has completed. This maintenance operation does not change any customer-specified values such as VPC config, KMS encryption, model, instance type, or instance count. RollingBack: Endpoint fails to scale up or down or change its variant weight and is in the process of rolling back to its previous configuration. Once the rollback completes, endpoint returns to an InService status. This transitional status only applies to an endpoint that has autoscaling enabled and is undergoing variant weight or capacity changes as part of an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities operation is called explicitly. InService: Endpoint is available to process incoming requests. Deleting: DeleteEndpoint is executing. Failed: Endpoint could not be created, updated, or re-scaled. Use the FailureReason value returned by DescribeEndpoint for information about the failure. DeleteEndpoint is the only operation that can be performed on a failed endpoint. UpdateRollbackFailed: Both the rolling deployment and auto-rollback failed. Your endpoint is in service with a mix of the old and new endpoint configurations. For information about how to remedy this issue and restore the endpoint's status to InService, see Rolling Deployments.
explainer_config	core	json	The configuration parameters for an explainer.
failure_reason	core	string	If the status of the endpoint is Failed, the reason why it failed.
last_deployment_config	core	json	The most recent deployment configuration for the endpoint.
last_modified_time	core	timestamp	A timestamp that shows when the endpoint was last modified.
pending_deployment_summary	core	json	Returns the summary of an in-progress deployment. This field is only returned when the endpoint is creating or updating with a new endpoint configuration.
production_variants	core	json	An array of ProductionVariantSummary objects, one for each model hosted behind this endpoint.
shadow_production_variants	core	json	An array of ProductionVariantSummary 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