CreateMonitoringSchedule - Amazon SageMaker


Creates a schedule that regularly starts Amazon SageMaker Processing Jobs to monitor the data captured for an Amazon SageMaker Endpoint.

Request Syntax

{ "MonitoringScheduleConfig": { "MonitoringJobDefinition": { "BaselineConfig": { "BaseliningJobName": "string", "ConstraintsResource": { "S3Uri": "string" }, "StatisticsResource": { "S3Uri": "string" } }, "Environment": { "string" : "string" }, "MonitoringAppSpecification": { "ContainerArguments": [ "string" ], "ContainerEntrypoint": [ "string" ], "ImageUri": "string", "PostAnalyticsProcessorSourceUri": "string", "RecordPreprocessorSourceUri": "string" }, "MonitoringInputs": [ { "BatchTransformInput": { "DataCapturedDestinationS3Uri": "string", "DatasetFormat": { "Csv": { "Header": boolean }, "Json": { "Line": boolean }, "Parquet": { } }, "EndTimeOffset": "string", "ExcludeFeaturesAttribute": "string", "FeaturesAttribute": "string", "InferenceAttribute": "string", "LocalPath": "string", "ProbabilityAttribute": "string", "ProbabilityThresholdAttribute": number, "S3DataDistributionType": "string", "S3InputMode": "string", "StartTimeOffset": "string" }, "EndpointInput": { "EndpointName": "string", "EndTimeOffset": "string", "ExcludeFeaturesAttribute": "string", "FeaturesAttribute": "string", "InferenceAttribute": "string", "LocalPath": "string", "ProbabilityAttribute": "string", "ProbabilityThresholdAttribute": number, "S3DataDistributionType": "string", "S3InputMode": "string", "StartTimeOffset": "string" } } ], "MonitoringOutputConfig": { "KmsKeyId": "string", "MonitoringOutputs": [ { "S3Output": { "LocalPath": "string", "S3UploadMode": "string", "S3Uri": "string" } } ] }, "MonitoringResources": { "ClusterConfig": { "InstanceCount": number, "InstanceType": "string", "VolumeKmsKeyId": "string", "VolumeSizeInGB": number } }, "NetworkConfig": { "EnableInterContainerTrafficEncryption": boolean, "EnableNetworkIsolation": boolean, "VpcConfig": { "SecurityGroupIds": [ "string" ], "Subnets": [ "string" ] } }, "RoleArn": "string", "StoppingCondition": { "MaxRuntimeInSeconds": number } }, "MonitoringJobDefinitionName": "string", "MonitoringType": "string", "ScheduleConfig": { "DataAnalysisEndTime": "string", "DataAnalysisStartTime": "string", "ScheduleExpression": "string" } }, "MonitoringScheduleName": "string", "Tags": [ { "Key": "string", "Value": "string" } ] }

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.


The configuration object that specifies the monitoring schedule and defines the monitoring job.

Type: MonitoringScheduleConfig object

Required: Yes


The name of the monitoring schedule. The name must be unique within an AWS Region within an AWS account.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 63.

Pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}$

Required: Yes


(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.

Type: Array of Tag objects

Array Members: Minimum number of 0 items. Maximum number of 50 items.

Required: No

Response Syntax

{ "MonitoringScheduleArn": "string" }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.


The Amazon Resource Name (ARN) of the monitoring schedule.

Type: String

Length Constraints: Maximum length of 256.

Pattern: .*


For information about the errors that are common to all actions, see Common Errors.


Resource being accessed is in use.

HTTP Status Code: 400


You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: