AWS::SageMaker::MonitoringSchedule ClusterConfig

Configuration for the cluster used to run model monitoring jobs.

Syntax

To declare this entity in your AWS CloudFormation template, use the following syntax:

JSON

{
  "InstanceCount" : Integer,
  "InstanceType" : String,
  "VolumeKmsKeyId" : String,
  "VolumeSizeInGB" : Integer
}

YAML

  InstanceCount: Integer
  InstanceType: String
  VolumeKmsKeyId: String
  VolumeSizeInGB: Integer

Properties

InstanceCount

The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.

Required: Yes

Type: Integer

Minimum: 1

Maximum: 100

Update requires: No interruption

InstanceType

The ML compute instance type for the processing job.

Required: Yes

Type: String

Update requires: No interruption

VolumeKmsKeyId

The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.

Required: No

Type: String

Minimum: 1

Maximum: 2048

Update requires: No interruption

VolumeSizeInGB

The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.

Required: Yes

Type: Integer

Minimum: 1

Maximum: 16384

Update requires: No interruption