AWS Native

Pulumi Official
Package maintained by Pulumi
v0.19.0 published on Wednesday, Jun 8, 2022 by Pulumi

getMonitoringSchedule

Resource Type definition for AWS::SageMaker::MonitoringSchedule

Using getMonitoringSchedule

Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

function getMonitoringSchedule(args: GetMonitoringScheduleArgs, opts?: InvokeOptions): Promise<GetMonitoringScheduleResult>
function getMonitoringScheduleOutput(args: GetMonitoringScheduleOutputArgs, opts?: InvokeOptions): Output<GetMonitoringScheduleResult>
def get_monitoring_schedule(monitoring_schedule_arn: Optional[str] = None,
                            opts: Optional[InvokeOptions] = None) -> GetMonitoringScheduleResult
def get_monitoring_schedule_output(monitoring_schedule_arn: Optional[pulumi.Input[str]] = None,
                            opts: Optional[InvokeOptions] = None) -> Output[GetMonitoringScheduleResult]
func LookupMonitoringSchedule(ctx *Context, args *LookupMonitoringScheduleArgs, opts ...InvokeOption) (*LookupMonitoringScheduleResult, error)
func LookupMonitoringScheduleOutput(ctx *Context, args *LookupMonitoringScheduleOutputArgs, opts ...InvokeOption) LookupMonitoringScheduleResultOutput

> Note: This function is named LookupMonitoringSchedule in the Go SDK.

public static class GetMonitoringSchedule 
{
    public static Task<GetMonitoringScheduleResult> InvokeAsync(GetMonitoringScheduleArgs args, InvokeOptions? opts = null)
    public static Output<GetMonitoringScheduleResult> Invoke(GetMonitoringScheduleInvokeArgs args, InvokeOptions? opts = null)
}
public static CompletableFuture<GetMonitoringScheduleResult> getMonitoringSchedule(GetMonitoringScheduleArgs args, InvokeOptions options)
// Output-based functions aren't available in Java yet
Fn::Invoke:
  Function: aws-native:sagemaker:getMonitoringSchedule
  Arguments:
    # Arguments dictionary

The following arguments are supported:

MonitoringScheduleArn string

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

MonitoringScheduleArn string

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

monitoringScheduleArn String

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

monitoringScheduleArn string

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

monitoring_schedule_arn str

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

monitoringScheduleArn String

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

getMonitoringSchedule Result

The following output properties are available:

CreationTime string

The time at which the schedule was created.

EndpointName string
FailureReason string

Contains the reason a monitoring job failed, if it failed.

LastModifiedTime string

A timestamp that indicates the last time the monitoring job was modified.

LastMonitoringExecutionSummary Pulumi.AwsNative.SageMaker.Outputs.MonitoringScheduleMonitoringExecutionSummary

Describes metadata on the last execution to run, if there was one.

MonitoringScheduleArn string

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

MonitoringScheduleConfig Pulumi.AwsNative.SageMaker.Outputs.MonitoringScheduleConfig
MonitoringScheduleStatus Pulumi.AwsNative.SageMaker.MonitoringScheduleStatus

The status of a schedule job.

Tags List<Pulumi.AwsNative.SageMaker.Outputs.MonitoringScheduleTag>

An array of key-value pairs to apply to this resource.

CreationTime string

The time at which the schedule was created.

EndpointName string
FailureReason string

Contains the reason a monitoring job failed, if it failed.

LastModifiedTime string

A timestamp that indicates the last time the monitoring job was modified.

LastMonitoringExecutionSummary MonitoringScheduleMonitoringExecutionSummary

Describes metadata on the last execution to run, if there was one.

MonitoringScheduleArn string

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

MonitoringScheduleConfig MonitoringScheduleConfig
MonitoringScheduleStatus MonitoringScheduleStatus

The status of a schedule job.

Tags []MonitoringScheduleTag

An array of key-value pairs to apply to this resource.

creationTime String

The time at which the schedule was created.

endpointName String
failureReason String

Contains the reason a monitoring job failed, if it failed.

lastModifiedTime String

A timestamp that indicates the last time the monitoring job was modified.

lastMonitoringExecutionSummary MonitoringScheduleMonitoringExecutionSummary

Describes metadata on the last execution to run, if there was one.

monitoringScheduleArn String

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

monitoringScheduleConfig MonitoringScheduleConfig
monitoringScheduleStatus MonitoringScheduleStatus

The status of a schedule job.

tags List<MonitoringScheduleTag>

An array of key-value pairs to apply to this resource.

creationTime string

The time at which the schedule was created.

endpointName string
failureReason string

Contains the reason a monitoring job failed, if it failed.

lastModifiedTime string

A timestamp that indicates the last time the monitoring job was modified.

lastMonitoringExecutionSummary MonitoringScheduleMonitoringExecutionSummary

Describes metadata on the last execution to run, if there was one.

monitoringScheduleArn string

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

monitoringScheduleConfig MonitoringScheduleConfig
monitoringScheduleStatus MonitoringScheduleStatus

The status of a schedule job.

tags MonitoringScheduleTag[]

An array of key-value pairs to apply to this resource.

creation_time str

The time at which the schedule was created.

endpoint_name str
failure_reason str

Contains the reason a monitoring job failed, if it failed.

last_modified_time str

A timestamp that indicates the last time the monitoring job was modified.

last_monitoring_execution_summary MonitoringScheduleMonitoringExecutionSummary

Describes metadata on the last execution to run, if there was one.

monitoring_schedule_arn str

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

monitoring_schedule_config MonitoringScheduleConfig
monitoring_schedule_status MonitoringScheduleStatus

The status of a schedule job.

tags Sequence[MonitoringScheduleTag]

An array of key-value pairs to apply to this resource.

creationTime String

The time at which the schedule was created.

endpointName String
failureReason String

Contains the reason a monitoring job failed, if it failed.

lastModifiedTime String

A timestamp that indicates the last time the monitoring job was modified.

lastMonitoringExecutionSummary Property Map

Describes metadata on the last execution to run, if there was one.

monitoringScheduleArn String

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

monitoringScheduleConfig Property Map
monitoringScheduleStatus "Pending" | "Failed" | "Scheduled" | "Stopped"

The status of a schedule job.

tags List<Property Map>

An array of key-value pairs to apply to this resource.

Supporting Types

MonitoringScheduleBaselineConfig

MonitoringScheduleClusterConfig

InstanceCount int

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.

InstanceType string

The ML compute instance type for the processing job.

VolumeSizeInGB int

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

VolumeKmsKeyId string

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.

InstanceCount int

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.

InstanceType string

The ML compute instance type for the processing job.

VolumeSizeInGB int

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

VolumeKmsKeyId string

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.

instanceCount Integer

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.

instanceType String

The ML compute instance type for the processing job.

volumeSizeInGB Integer

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

volumeKmsKeyId String

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.

instanceCount number

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.

instanceType string

The ML compute instance type for the processing job.

volumeSizeInGB number

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

volumeKmsKeyId string

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.

instance_count int

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.

instance_type str

The ML compute instance type for the processing job.

volume_size_in_gb int

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

volume_kms_key_id str

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.

instanceCount Number

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.

instanceType String

The ML compute instance type for the processing job.

volumeSizeInGB Number

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

volumeKmsKeyId String

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.

MonitoringScheduleConfig

MonitoringScheduleConstraintsResource

S3Uri string

The Amazon S3 URI for baseline constraint file in Amazon S3 that the current monitoring job should validated against.

S3Uri string

The Amazon S3 URI for baseline constraint file in Amazon S3 that the current monitoring job should validated against.

s3Uri String

The Amazon S3 URI for baseline constraint file in Amazon S3 that the current monitoring job should validated against.

s3Uri string

The Amazon S3 URI for baseline constraint file in Amazon S3 that the current monitoring job should validated against.

s3_uri str

The Amazon S3 URI for baseline constraint file in Amazon S3 that the current monitoring job should validated against.

s3Uri String

The Amazon S3 URI for baseline constraint file in Amazon S3 that the current monitoring job should validated against.

MonitoringScheduleEndpointInput

EndpointName string
LocalPath string

Path to the filesystem where the endpoint data is available to the container.

S3DataDistributionType Pulumi.AwsNative.SageMaker.MonitoringScheduleEndpointInputS3DataDistributionType

Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated

S3InputMode Pulumi.AwsNative.SageMaker.MonitoringScheduleEndpointInputS3InputMode

Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

EndpointName string
LocalPath string

Path to the filesystem where the endpoint data is available to the container.

S3DataDistributionType MonitoringScheduleEndpointInputS3DataDistributionType

Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated

S3InputMode MonitoringScheduleEndpointInputS3InputMode

Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

endpointName String
localPath String

Path to the filesystem where the endpoint data is available to the container.

s3DataDistributionType MonitoringScheduleEndpointInputS3DataDistributionType

Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated

s3InputMode MonitoringScheduleEndpointInputS3InputMode

Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

endpointName string
localPath string

Path to the filesystem where the endpoint data is available to the container.

s3DataDistributionType MonitoringScheduleEndpointInputS3DataDistributionType

Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated

s3InputMode MonitoringScheduleEndpointInputS3InputMode

Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

endpoint_name str
local_path str

Path to the filesystem where the endpoint data is available to the container.

s3_data_distribution_type MonitoringScheduleEndpointInputS3DataDistributionType

Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated

s3_input_mode MonitoringScheduleEndpointInputS3InputMode

Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

endpointName String
localPath String

Path to the filesystem where the endpoint data is available to the container.

s3DataDistributionType "FullyReplicated" | "ShardedByS3Key"

Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated

s3InputMode "Pipe" | "File"

Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

MonitoringScheduleEndpointInputS3DataDistributionType

MonitoringScheduleEndpointInputS3InputMode

MonitoringScheduleMonitoringAppSpecification

ImageUri string

The container image to be run by the monitoring job.

ContainerArguments List<string>

An array of arguments for the container used to run the monitoring job.

ContainerEntrypoint List<string>

Specifies the entrypoint for a container used to run the monitoring job.

PostAnalyticsProcessorSourceUri string

An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

RecordPreprocessorSourceUri string

An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers

ImageUri string

The container image to be run by the monitoring job.

ContainerArguments []string

An array of arguments for the container used to run the monitoring job.

ContainerEntrypoint []string

Specifies the entrypoint for a container used to run the monitoring job.

PostAnalyticsProcessorSourceUri string

An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

RecordPreprocessorSourceUri string

An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers

imageUri String

The container image to be run by the monitoring job.

containerArguments List<String>

An array of arguments for the container used to run the monitoring job.

containerEntrypoint List<String>

Specifies the entrypoint for a container used to run the monitoring job.

postAnalyticsProcessorSourceUri String

An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

recordPreprocessorSourceUri String

An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers

imageUri string

The container image to be run by the monitoring job.

containerArguments string[]

An array of arguments for the container used to run the monitoring job.

containerEntrypoint string[]

Specifies the entrypoint for a container used to run the monitoring job.

postAnalyticsProcessorSourceUri string

An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

recordPreprocessorSourceUri string

An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers

image_uri str

The container image to be run by the monitoring job.

container_arguments Sequence[str]

An array of arguments for the container used to run the monitoring job.

container_entrypoint Sequence[str]

Specifies the entrypoint for a container used to run the monitoring job.

post_analytics_processor_source_uri str

An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

record_preprocessor_source_uri str

An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers

imageUri String

The container image to be run by the monitoring job.

containerArguments List<String>

An array of arguments for the container used to run the monitoring job.

containerEntrypoint List<String>

Specifies the entrypoint for a container used to run the monitoring job.

postAnalyticsProcessorSourceUri String

An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

recordPreprocessorSourceUri String

An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers

MonitoringScheduleMonitoringExecutionSummary

CreationTime string

The time at which the monitoring job was created.

LastModifiedTime string

A timestamp that indicates the last time the monitoring job was modified.

MonitoringExecutionStatus Pulumi.AwsNative.SageMaker.MonitoringScheduleMonitoringExecutionSummaryMonitoringExecutionStatus

The status of the monitoring job.

MonitoringScheduleName string
ScheduledTime string

The time the monitoring job was scheduled.

EndpointName string
FailureReason string

Contains the reason a monitoring job failed, if it failed.

ProcessingJobArn string

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

CreationTime string

The time at which the monitoring job was created.

LastModifiedTime string

A timestamp that indicates the last time the monitoring job was modified.

MonitoringExecutionStatus MonitoringScheduleMonitoringExecutionSummaryMonitoringExecutionStatus

The status of the monitoring job.

MonitoringScheduleName string
ScheduledTime string

The time the monitoring job was scheduled.

EndpointName string
FailureReason string

Contains the reason a monitoring job failed, if it failed.

ProcessingJobArn string

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

creationTime String

The time at which the monitoring job was created.

lastModifiedTime String

A timestamp that indicates the last time the monitoring job was modified.

monitoringExecutionStatus MonitoringScheduleMonitoringExecutionSummaryMonitoringExecutionStatus

The status of the monitoring job.

monitoringScheduleName String
scheduledTime String

The time the monitoring job was scheduled.

endpointName String
failureReason String

Contains the reason a monitoring job failed, if it failed.

processingJobArn String

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

creationTime string

The time at which the monitoring job was created.

lastModifiedTime string

A timestamp that indicates the last time the monitoring job was modified.

monitoringExecutionStatus MonitoringScheduleMonitoringExecutionSummaryMonitoringExecutionStatus

The status of the monitoring job.

monitoringScheduleName string
scheduledTime string

The time the monitoring job was scheduled.

endpointName string
failureReason string

Contains the reason a monitoring job failed, if it failed.

processingJobArn string

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

creation_time str

The time at which the monitoring job was created.

last_modified_time str

A timestamp that indicates the last time the monitoring job was modified.

monitoring_execution_status MonitoringScheduleMonitoringExecutionSummaryMonitoringExecutionStatus

The status of the monitoring job.

monitoring_schedule_name str
scheduled_time str

The time the monitoring job was scheduled.

endpoint_name str
failure_reason str

Contains the reason a monitoring job failed, if it failed.

processing_job_arn str

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

creationTime String

The time at which the monitoring job was created.

lastModifiedTime String

A timestamp that indicates the last time the monitoring job was modified.

monitoringExecutionStatus "Pending" | "Completed" | "CompletedWithViolations" | "InProgress" | "Failed" | "Stopping" | "Stopped"

The status of the monitoring job.

monitoringScheduleName String
scheduledTime String

The time the monitoring job was scheduled.

endpointName String
failureReason String

Contains the reason a monitoring job failed, if it failed.

processingJobArn String

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

MonitoringScheduleMonitoringExecutionSummaryMonitoringExecutionStatus

MonitoringScheduleMonitoringInput

MonitoringScheduleMonitoringJobDefinition

MonitoringAppSpecification Pulumi.AwsNative.SageMaker.Inputs.MonitoringScheduleMonitoringAppSpecification
MonitoringInputs List<Pulumi.AwsNative.SageMaker.Inputs.MonitoringScheduleMonitoringInput>
MonitoringOutputConfig Pulumi.AwsNative.SageMaker.Inputs.MonitoringScheduleMonitoringOutputConfig
MonitoringResources Pulumi.AwsNative.SageMaker.Inputs.MonitoringScheduleMonitoringResources
RoleArn string

The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.

BaselineConfig Pulumi.AwsNative.SageMaker.Inputs.MonitoringScheduleBaselineConfig
Environment object

Sets the environment variables in the Docker container

NetworkConfig Pulumi.AwsNative.SageMaker.Inputs.MonitoringScheduleNetworkConfig
StoppingCondition Pulumi.AwsNative.SageMaker.Inputs.MonitoringScheduleStoppingCondition
monitoringAppSpecification Property Map
monitoringInputs List<Property Map>
monitoringOutputConfig Property Map
monitoringResources Property Map
roleArn String

The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.

baselineConfig Property Map
environment Any

Sets the environment variables in the Docker container

networkConfig Property Map
stoppingCondition Property Map

MonitoringScheduleMonitoringOutput

MonitoringScheduleMonitoringOutputConfig

MonitoringOutputs List<Pulumi.AwsNative.SageMaker.Inputs.MonitoringScheduleMonitoringOutput>

Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.

KmsKeyId string

The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.

MonitoringOutputs []MonitoringScheduleMonitoringOutput

Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.

KmsKeyId string

The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.

monitoringOutputs List<MonitoringScheduleMonitoringOutput>

Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.

kmsKeyId String

The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.

monitoringOutputs MonitoringScheduleMonitoringOutput[]

Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.

kmsKeyId string

The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.

monitoring_outputs Sequence[MonitoringScheduleMonitoringOutput]

Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.

kms_key_id str

The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.

monitoringOutputs List<Property Map>

Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.

kmsKeyId String

The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.

MonitoringScheduleMonitoringResources

MonitoringScheduleMonitoringType

MonitoringScheduleNetworkConfig

EnableInterContainerTrafficEncryption bool

Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.

EnableNetworkIsolation bool

Whether to allow inbound and outbound network calls to and from the containers used for the processing job.

VpcConfig Pulumi.AwsNative.SageMaker.Inputs.MonitoringScheduleVpcConfig
EnableInterContainerTrafficEncryption bool

Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.

EnableNetworkIsolation bool

Whether to allow inbound and outbound network calls to and from the containers used for the processing job.

VpcConfig MonitoringScheduleVpcConfig
enableInterContainerTrafficEncryption Boolean

Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.

enableNetworkIsolation Boolean

Whether to allow inbound and outbound network calls to and from the containers used for the processing job.

vpcConfig MonitoringScheduleVpcConfig
enableInterContainerTrafficEncryption boolean

Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.

enableNetworkIsolation boolean

Whether to allow inbound and outbound network calls to and from the containers used for the processing job.

vpcConfig MonitoringScheduleVpcConfig
enable_inter_container_traffic_encryption bool

Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.

enable_network_isolation bool

Whether to allow inbound and outbound network calls to and from the containers used for the processing job.

vpc_config MonitoringScheduleVpcConfig
enableInterContainerTrafficEncryption Boolean

Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.

enableNetworkIsolation Boolean

Whether to allow inbound and outbound network calls to and from the containers used for the processing job.

vpcConfig Property Map

MonitoringScheduleS3Output

LocalPath string

The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.

S3Uri string

A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.

S3UploadMode Pulumi.AwsNative.SageMaker.MonitoringScheduleS3OutputS3UploadMode

Whether to upload the results of the monitoring job continuously or after the job completes.

LocalPath string

The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.

S3Uri string

A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.

S3UploadMode MonitoringScheduleS3OutputS3UploadMode

Whether to upload the results of the monitoring job continuously or after the job completes.

localPath String

The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.

s3Uri String

A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.

s3UploadMode MonitoringScheduleS3OutputS3UploadMode

Whether to upload the results of the monitoring job continuously or after the job completes.

localPath string

The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.

s3Uri string

A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.

s3UploadMode MonitoringScheduleS3OutputS3UploadMode

Whether to upload the results of the monitoring job continuously or after the job completes.

local_path str

The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.

s3_uri str

A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.

s3_upload_mode MonitoringScheduleS3OutputS3UploadMode

Whether to upload the results of the monitoring job continuously or after the job completes.

localPath String

The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.

s3Uri String

A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.

s3UploadMode "Continuous" | "EndOfJob"

Whether to upload the results of the monitoring job continuously or after the job completes.

MonitoringScheduleS3OutputS3UploadMode

MonitoringScheduleScheduleConfig

ScheduleExpression string

A cron expression that describes details about the monitoring schedule.

ScheduleExpression string

A cron expression that describes details about the monitoring schedule.

scheduleExpression String

A cron expression that describes details about the monitoring schedule.

scheduleExpression string

A cron expression that describes details about the monitoring schedule.

schedule_expression str

A cron expression that describes details about the monitoring schedule.

scheduleExpression String

A cron expression that describes details about the monitoring schedule.

MonitoringScheduleStatisticsResource

S3Uri string

The Amazon S3 URI for the baseline statistics file in Amazon S3 that the current monitoring job should be validated against.

S3Uri string

The Amazon S3 URI for the baseline statistics file in Amazon S3 that the current monitoring job should be validated against.

s3Uri String

The Amazon S3 URI for the baseline statistics file in Amazon S3 that the current monitoring job should be validated against.

s3Uri string

The Amazon S3 URI for the baseline statistics file in Amazon S3 that the current monitoring job should be validated against.

s3_uri str

The Amazon S3 URI for the baseline statistics file in Amazon S3 that the current monitoring job should be validated against.

s3Uri String

The Amazon S3 URI for the baseline statistics file in Amazon S3 that the current monitoring job should be validated against.

MonitoringScheduleStatus

MonitoringScheduleStoppingCondition

MaxRuntimeInSeconds int

The maximum runtime allowed in seconds.

MaxRuntimeInSeconds int

The maximum runtime allowed in seconds.

maxRuntimeInSeconds Integer

The maximum runtime allowed in seconds.

maxRuntimeInSeconds number

The maximum runtime allowed in seconds.

max_runtime_in_seconds int

The maximum runtime allowed in seconds.

maxRuntimeInSeconds Number

The maximum runtime allowed in seconds.

MonitoringScheduleTag

Key string

The key name of the tag. You can specify a value that is 1 to 127 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

Value string

The value for the tag. You can specify a value that is 1 to 255 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

Key string

The key name of the tag. You can specify a value that is 1 to 127 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

Value string

The value for the tag. You can specify a value that is 1 to 255 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

key String

The key name of the tag. You can specify a value that is 1 to 127 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

value String

The value for the tag. You can specify a value that is 1 to 255 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

key string

The key name of the tag. You can specify a value that is 1 to 127 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

value string

The value for the tag. You can specify a value that is 1 to 255 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

key str

The key name of the tag. You can specify a value that is 1 to 127 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

value str

The value for the tag. You can specify a value that is 1 to 255 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

key String

The key name of the tag. You can specify a value that is 1 to 127 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

value String

The value for the tag. You can specify a value that is 1 to 255 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

MonitoringScheduleVpcConfig

SecurityGroupIds List<string>

The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.

Subnets List<string>

The ID of the subnets in the VPC to which you want to connect to your monitoring jobs.

SecurityGroupIds []string

The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.

Subnets []string

The ID of the subnets in the VPC to which you want to connect to your monitoring jobs.

securityGroupIds List<String>

The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.

subnets List<String>

The ID of the subnets in the VPC to which you want to connect to your monitoring jobs.

securityGroupIds string[]

The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.

subnets string[]

The ID of the subnets in the VPC to which you want to connect to your monitoring jobs.

security_group_ids Sequence[str]

The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.

subnets Sequence[str]

The ID of the subnets in the VPC to which you want to connect to your monitoring jobs.

securityGroupIds List<String>

The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.

subnets List<String>

The ID of the subnets in the VPC to which you want to connect to your monitoring jobs.

Package Details

Repository
https://github.com/pulumi/pulumi-aws-native
License
Apache-2.0