class Aws::SageMaker::Types::MonitoringClusterConfig

Configuration for the cluster used to run model monitoring jobs.

@note When making an API call, you may pass MonitoringClusterConfig

data as a hash:

    {
      instance_count: 1, # required
      instance_type: "ml.t3.medium", # required, accepts ml.t3.medium, ml.t3.large, ml.t3.xlarge, ml.t3.2xlarge, ml.m4.xlarge, ml.m4.2xlarge, ml.m4.4xlarge, ml.m4.10xlarge, ml.m4.16xlarge, ml.c4.xlarge, ml.c4.2xlarge, ml.c4.4xlarge, ml.c4.8xlarge, ml.p2.xlarge, ml.p2.8xlarge, ml.p2.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge, ml.p3.16xlarge, ml.c5.xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.c5.18xlarge, ml.m5.large, ml.m5.xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.r5.large, ml.r5.xlarge, ml.r5.2xlarge, ml.r5.4xlarge, ml.r5.8xlarge, ml.r5.12xlarge, ml.r5.16xlarge, ml.r5.24xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge
      volume_size_in_gb: 1, # required
      volume_kms_key_id: "KmsKeyId",
    }

@!attribute [rw] instance_count

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.
@return [Integer]

@!attribute [rw] instance_type

The ML compute instance type for the processing job.
@return [String]

@!attribute [rw] volume_size_in_gb

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

@!attribute [rw] volume_kms_key_id

The Amazon Web Services Key Management Service (Amazon Web Services
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.
@return [String]

@see docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/MonitoringClusterConfig AWS API Documentation

Constants

SENSITIVE