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SageMaker endpoint production variants should have an initial instance count greater than 1

This control checks whether production variants of an Amazon SageMaker AI endpoint have an initial instance count greater than 1. The control fails if the endpoint's production variants have only 1 initial instance.

How to fix

Attribute production_variants[0].initial_instance_count of aws_sagemaker_endpoint_configuration must be non-empty.

Implementation options

Choose the option that matches how you manage Terraform. All options satisfy this control.

Option 1: Terraform AWS provider resources

If you manage resources directly, configure the relevant Terraform AWS provider resources to meet this control. See docs for the resources involved: aws_sagemaker_endpoint_configuration.

resource "aws_sagemaker_endpoint_configuration" "this" {
  production_variants {
    initial_instance_count = 2
    instance_type          = "ml.t2.medium"
    model_name             = "pofix-example-model"
    variant_name           = "AllTraffic"
  }
}
Which option should I choose?
  • Compliance.tf module (recommended): controls enforced by default and mapped to frameworks.
  • Open source module (terraform-aws-modules): compatible by design with compliance.tf. Same variable names for an easy, low-change migration path when you are ready.
  • Terraform AWS provider resources: manage Terraform resources directly.

Tool mappings

Use these identifiers to cross-reference this control across tools, reports, and evidence.

  • Compliance.tf (CTF) Control: sagemaker_endpoint_configuration_prod_instance_count_greater_than_one

  • AWS Config Managed Rule: SAGEMAKER_ENDPOINT_CONFIG_PROD_INSTANCE_COUNT

  • Powerpipe Control: aws_compliance.control.sagemaker_endpoint_configuration_prod_instance_count_greater_than_one