» Resource: aws_sagemaker_endpoint_configuration

Provides a SageMaker endpoint configuration resource.

» Example Usage

Basic usage:

resource "aws_sagemaker_endpoint_configuration" "ec" {
    name = "my-endpoint-config"

    production_variants {
        variant_name            = "variant-1"
        model_name              = "${aws_sagemaker_model.m.name}"
        initial_instance_count  = 1
        instance_type           = "ml.t2.medium"
    }

    tags {
        Name = "foo"
    }
}

» Argument Reference

The following arguments are supported:

• production_variants - (Required) Fields are documented below.
• kms_key_arn - (Optional) Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
• name - (Optional) The name of the endpoint configuration. If omitted, Terraform will assign a random, unique name.
• tags - (Optional) A mapping of tags to assign to the resource.

The production_variants block supports:

• initial_instance_count - (Required) Initial number of instances used for auto-scaling.
• instance_type (Required) - The type of instance to start.
• accelerator_type (Optional) - The size of the Elastic Inference (EI) instance to use for the production variant.
• initial_variant_weight (Optional) - Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. If unspecified, it defaults to 1.0.
• model_name - (Required) The name of the model to use.
• variant_name - (Optional) The name of the variant. If omitted, Terraform will assign a random, unique name. ## Attributes Reference

The following attributes are exported:

• arn - The Amazon Resource Name (ARN) assigned by AWS to this endpoint configuration.
• name - The name of the endpoint configuration.

» Import

Endpoint configurations can be imported using the name, e.g.

$ terraform import aws_sagemaker_endpoint_configuration.test_endpoint_config endpoint-config-foo