Delete a scaling policy - Amazon SageMaker AI
Delete all scaling policies and deregister the model (console)Delete a scaling policy (AWS CLI or Application Auto Scaling API)
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Delete a scaling policy

If you no longer need a scaling policy, you can delete it at any time.

Delete all scaling policies and deregister the model (console)

To delete all scaling policies and deregister the variant as a scalable target

  1. Open the Amazon SageMaker AI console at https://eusc-de-east-1.console.amazonaws-eusc.eu/sagemaker/.

  2. On the navigation pane, choose Endpoints.

  3. Choose your endpoint, and then for Endpoint runtime settings, choose the variant.

  4. Choose Configure auto scaling.

  5. Choose Deregister auto scaling.

Delete a scaling policy (AWS CLI or Application Auto Scaling API)

You can use the AWS CLI or the Application Auto Scaling API to delete a scaling policy from a variant.

Delete a scaling policy (AWS CLI)

To delete a scaling policy from a variant, use the delete-scaling-policy command with the following parameters:

  • --policy-name—The name of the scaling policy.

  • --resource-id—The resource identifier for the variant. For this parameter, the resource type is endpoint and the unique identifier is the name of the variant. For example, endpoint/my-endpoint/variant/my-variant.

  • --service-namespace—Set this value to sagemaker.

  • --scalable-dimension—Set this value to sagemaker:variant:DesiredInstanceCount.

Example

The following example deletes a target tracking scaling policy named my-scaling-policy from a variant named my-variant, running on the my-endpoint endpoint.

aws application-autoscaling delete-scaling-policy \
  --policy-name my-scaling-policy \
  --resource-id endpoint/my-endpoint/variant/my-variant \
  --service-namespace sagemaker \
  --scalable-dimension sagemaker:variant:DesiredInstanceCount

Delete a scaling policy (Application Auto Scaling API)

To delete a scaling policy from your variant, use the DeleteScalingPolicy Application Auto Scaling API action with the following parameters:

  • PolicyName—The name of the scaling policy.

  • ServiceNamespace—Set this value to sagemaker.

  • ResourceID—The resource identifier for the variant. For this parameter, the resource type is endpoint and the unique identifier is the name of the variant. For example, endpoint/my-endpoint/variant/my-variant.

  • ScalableDimension—Set this value to sagemaker:variant:DesiredInstanceCount.

Example

The following example deletes a target tracking scaling policy named my-scaling-policy from a variant named my-variant, running on the my-endpoint endpoint.

POST / HTTP/1.1
Host: application-autoscaling.us-east-2.amazonaws.com
Accept-Encoding: identity
X-Amz-Target: AnyScaleFrontendService.DeleteScalingPolicy
X-Amz-Date: 20230506T182145Z
User-Agent: aws-cli/2.0.0 Python/3.7.5 Windows/10 botocore/2.0.0dev4
Content-Type: application/x-amz-json-1.1
Authorization: AUTHPARAMS

{
    "PolicyName": "my-scaling-policy",
    "ServiceNamespace": "sagemaker",
    "ResourceId": "endpoint/my-endpoint/variant/my-variant",
    "ScalableDimension": "sagemaker:variant:DesiredInstanceCount"
}