scaling_configuration_recommendations

Creates, updates, deletes, gets or lists a scaling_configuration_recommendations resource.

Overview

Name	scaling_configuration_recommendations
Type	Resource
Id	aws.sagemaker.scaling_configuration_recommendations

Fields

The following fields are returned by SELECT queries:

get_scaling_configuration_recommendation

Name	Datatype	Description
dynamic_scaling_configuration	object	An object with the recommended values for you to specify when creating an autoscaling policy.
endpoint_name	string	The name of an endpoint benchmarked during a previously completed Inference Recommender job. (pattern: <code>[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}</code>)
inference_recommendations_job_name	string	The name of a previously completed Inference Recommender job. (pattern: <code>[a-zA-Z0-9](-*[a-zA-Z0-9]){0,63}</code>)
metric	object	An object with a list of metrics that were benchmarked during the previously completed Inference Recommender job.
recommendation_id	string	The recommendation ID of a previously completed inference recommendation.
scaling_policy_objective	object	An object representing the anticipated traffic pattern for an endpoint that you specified in the request.
target_cpu_utilization_per_core	integer	The percentage of how much utilization you want an instance to use before autoscaling, which you specified in the request. The default value is 50%.

Methods

The following methods are available for this resource:

Name	Accessible by	Required Params	Optional Params	Description
get_scaling_configuration_recommendation	select	region		Starts an Amazon SageMaker Inference Recommender autoscaling recommendation job. Returns recommendations for autoscaling policies that you can apply to your SageMaker endpoint.

Parameters

Parameters can be passed in the WHERE clause of a query. Check the Methods section to see which parameters are required or optional for each operation.

Name	Datatype	Description
region	string	AWS region (default: us-east-1)

SELECT examples

get_scaling_configuration_recommendation

Starts an Amazon SageMaker Inference Recommender autoscaling recommendation job. Returns recommendations for autoscaling policies that you can apply to your SageMaker endpoint.

SELECT
dynamic_scaling_configuration,
endpoint_name,
inference_recommendations_job_name,
metric,
recommendation_id,
scaling_policy_objective,
target_cpu_utilization_per_core
FROM aws.sagemaker.scaling_configuration_recommendations
WHERE region = '{{ region }}' -- required
;