# 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 _Update requires_: [No interruption](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/using-cfn-updating-stacks-update-behaviors.html#update-no-interrupt) #### InstanceType The ML compute instance type for the processing job. _Required_: Yes _Type_: String _Update requires_: [No interruption](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/using-cfn-updating-stacks-update-behaviors.html#update-no-interrupt) #### 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](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/using-cfn-updating-stacks-update-behaviors.html#update-no-interrupt) #### 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 _Update requires_: [No interruption](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/using-cfn-updating-stacks-update-behaviors.html#update-no-interrupt)