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_oneAWS Config Managed Rule:
SAGEMAKER_ENDPOINT_CONFIG_PROD_INSTANCE_COUNTPowerpipe Control:
aws_compliance.control.sagemaker_endpoint_configuration_prod_instance_count_greater_than_one