CreateMonitoringSchedule
Creates a schedule that regularly starts Amazon SageMaker AI Processing Jobs to monitor the data captured for an Amazon SageMaker AI 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.
- MonitoringScheduleConfig
-
The configuration object that specifies the monitoring schedule and defines the monitoring job.
Type: MonitoringScheduleConfig object
Required: Yes
- MonitoringScheduleName
-
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
- Tags
-
(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.
- MonitoringScheduleArn
-
The Amazon Resource Name (ARN) of the monitoring schedule.
Type: String
Length Constraints: Maximum length of 256.
Pattern:
.*
Errors
For information about the errors that are common to all actions, see Common Errors.
- ResourceInUse
-
Resource being accessed is in use.
HTTP Status Code: 400
- ResourceLimitExceeded
-
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:
