MonitoringJobDefinition
Defines the monitoring job.
Contents
- MonitoringAppSpecification
-
Configures the monitoring job to run a specified Docker container image.
Type: MonitoringAppSpecification object
Required: Yes
- MonitoringInputs
-
The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker AI Endpoint.
Type: Array of MonitoringInput objects
Array Members: Fixed number of 1 item.
Required: Yes
- MonitoringOutputConfig
-
The array of outputs from the monitoring job to be uploaded to Amazon S3.
Type: MonitoringOutputConfig object
Required: Yes
- MonitoringResources
-
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job. In distributed processing, you specify more than one instance.
Type: MonitoringResources object
Required: Yes
- RoleArn
-
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
Type: String
Length Constraints: Minimum length of 20. Maximum length of 2048.
Pattern:
^arn:aws[a-z\-]*:iam::\d{12}:role/?[a-zA-Z_0-9+=,.@\-_/]+$Required: Yes
- BaselineConfig
-
Baseline configuration used to validate that the data conforms to the specified constraints and statistics
Type: MonitoringBaselineConfig object
Required: No
- Environment
-
Sets the environment variables in the Docker container.
Type: String to string map
Map Entries: Maximum number of 50 items.
Key Length Constraints: Maximum length of 256.
Key Pattern:
[a-zA-Z_][a-zA-Z0-9_]*Value Length Constraints: Maximum length of 256.
Value Pattern:
[\S\s]*Required: No
- NetworkConfig
-
Specifies networking options for an monitoring job.
Type: NetworkConfig object
Required: No
- StoppingCondition
-
Specifies a time limit for how long the monitoring job is allowed to run.
Type: MonitoringStoppingCondition object
Required: No
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
