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aws-native.sagemaker.getMonitoringSchedule
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AWS Native is in preview. AWS Classic is fully supported.
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 dictionaryThe following arguments are supported:
- Monitoring
Schedule stringArn The Amazon Resource Name (ARN) of the monitoring schedule.
- Monitoring
Schedule stringArn The Amazon Resource Name (ARN) of the monitoring schedule.
- monitoring
Schedule StringArn The Amazon Resource Name (ARN) of the monitoring schedule.
- monitoring
Schedule stringArn The Amazon Resource Name (ARN) of the monitoring schedule.
- monitoring_
schedule_ strarn The Amazon Resource Name (ARN) of the monitoring schedule.
- monitoring
Schedule StringArn The Amazon Resource Name (ARN) of the monitoring schedule.
getMonitoringSchedule Result
The following output properties are available:
- Creation
Time string The time at which the schedule was created.
- Endpoint
Name string - Failure
Reason string Contains the reason a monitoring job failed, if it failed.
- Last
Modified stringTime A timestamp that indicates the last time the monitoring job was modified.
- Last
Monitoring Pulumi.Execution Summary Aws Native. Sage Maker. Outputs. Monitoring Schedule Monitoring Execution Summary Describes metadata on the last execution to run, if there was one.
- Monitoring
Schedule stringArn The Amazon Resource Name (ARN) of the monitoring schedule.
- Monitoring
Schedule Pulumi.Config Aws Native. Sage Maker. Outputs. Monitoring Schedule Config - Monitoring
Schedule Pulumi.Status Aws Native. Sage Maker. Monitoring Schedule Status The status of a schedule job.
-
List<Pulumi.
Aws Native. Sage Maker. Outputs. Monitoring Schedule Tag> An array of key-value pairs to apply to this resource.
- Creation
Time string The time at which the schedule was created.
- Endpoint
Name string - Failure
Reason string Contains the reason a monitoring job failed, if it failed.
- Last
Modified stringTime A timestamp that indicates the last time the monitoring job was modified.
- Last
Monitoring MonitoringExecution Summary Schedule Monitoring Execution Summary Describes metadata on the last execution to run, if there was one.
- Monitoring
Schedule stringArn The Amazon Resource Name (ARN) of the monitoring schedule.
- Monitoring
Schedule MonitoringConfig Schedule Config - Monitoring
Schedule MonitoringStatus Schedule Status The status of a schedule job.
-
[]Monitoring
Schedule Tag An array of key-value pairs to apply to this resource.
- creation
Time String The time at which the schedule was created.
- endpoint
Name String - failure
Reason String Contains the reason a monitoring job failed, if it failed.
- last
Modified StringTime A timestamp that indicates the last time the monitoring job was modified.
- last
Monitoring MonitoringExecution Summary Schedule Monitoring Execution Summary Describes metadata on the last execution to run, if there was one.
- monitoring
Schedule StringArn The Amazon Resource Name (ARN) of the monitoring schedule.
- monitoring
Schedule MonitoringConfig Schedule Config - monitoring
Schedule MonitoringStatus Schedule Status The status of a schedule job.
-
List<Monitoring
Schedule Tag> An array of key-value pairs to apply to this resource.
- creation
Time string The time at which the schedule was created.
- endpoint
Name string - failure
Reason string Contains the reason a monitoring job failed, if it failed.
- last
Modified stringTime A timestamp that indicates the last time the monitoring job was modified.
- last
Monitoring MonitoringExecution Summary Schedule Monitoring Execution Summary Describes metadata on the last execution to run, if there was one.
- monitoring
Schedule stringArn The Amazon Resource Name (ARN) of the monitoring schedule.
- monitoring
Schedule MonitoringConfig Schedule Config - monitoring
Schedule MonitoringStatus Schedule Status The status of a schedule job.
-
Monitoring
Schedule Tag[] 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_ strtime A timestamp that indicates the last time the monitoring job was modified.
- last_
monitoring_ Monitoringexecution_ summary Schedule Monitoring Execution Summary Describes metadata on the last execution to run, if there was one.
- monitoring_
schedule_ strarn The Amazon Resource Name (ARN) of the monitoring schedule.
- monitoring_
schedule_ Monitoringconfig Schedule Config - monitoring_
schedule_ Monitoringstatus Schedule Status The status of a schedule job.
-
Sequence[Monitoring
Schedule Tag] An array of key-value pairs to apply to this resource.
- creation
Time String The time at which the schedule was created.
- endpoint
Name String - failure
Reason String Contains the reason a monitoring job failed, if it failed.
- last
Modified StringTime A timestamp that indicates the last time the monitoring job was modified.
- last
Monitoring Property MapExecution Summary Describes metadata on the last execution to run, if there was one.
- monitoring
Schedule StringArn The Amazon Resource Name (ARN) of the monitoring schedule.
- monitoring
Schedule Property MapConfig - monitoring
Schedule "Pending" | "Failed" | "Scheduled" | "Stopped"Status The status of a schedule job.
- List<Property Map>
An array of key-value pairs to apply to this resource.
Supporting Types
MonitoringScheduleBaselineConfig
MonitoringScheduleBatchTransformInput
- Data
Captured stringDestination S3Uri A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.
- Dataset
Format Pulumi.Aws Native. Sage Maker. Inputs. Monitoring Schedule Dataset Format - Local
Path string Path to the filesystem where the endpoint data is available to the container.
- S3Data
Distribution Pulumi.Type Aws Native. Sage Maker. Monitoring Schedule Batch Transform Input S3Data Distribution Type Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- S3Input
Mode Pulumi.Aws Native. Sage Maker. Monitoring Schedule Batch Transform Input S3Input Mode 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.
- Data
Captured stringDestination S3Uri A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.
- Dataset
Format MonitoringSchedule Dataset Format - Local
Path string Path to the filesystem where the endpoint data is available to the container.
- S3Data
Distribution MonitoringType Schedule Batch Transform Input S3Data Distribution Type Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- S3Input
Mode MonitoringSchedule Batch Transform Input S3Input Mode 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.
- data
Captured StringDestination S3Uri A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.
- dataset
Format MonitoringSchedule Dataset Format - local
Path String Path to the filesystem where the endpoint data is available to the container.
- s3Data
Distribution MonitoringType Schedule Batch Transform Input S3Data Distribution Type Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- s3Input
Mode MonitoringSchedule Batch Transform Input S3Input Mode 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.
- data
Captured stringDestination S3Uri A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.
- dataset
Format MonitoringSchedule Dataset Format - local
Path string Path to the filesystem where the endpoint data is available to the container.
- s3Data
Distribution MonitoringType Schedule Batch Transform Input S3Data Distribution Type Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- s3Input
Mode MonitoringSchedule Batch Transform Input S3Input Mode 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.
- data_
captured_ strdestination_ s3_ uri A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.
- dataset_
format MonitoringSchedule Dataset Format - local_
path str Path to the filesystem where the endpoint data is available to the container.
- s3_
data_ Monitoringdistribution_ type Schedule Batch Transform Input S3Data Distribution Type Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- s3_
input_ Monitoringmode Schedule Batch Transform Input S3Input Mode 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.
- data
Captured StringDestination S3Uri A URI that identifies the Amazon S3 storage location where Batch Transform Job captures data.
- dataset
Format Property Map - local
Path String Path to the filesystem where the endpoint data is available to the container.
- s3Data
Distribution "FullyType Replicated" | "Sharded By S3Key" Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- s3Input
Mode "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.
MonitoringScheduleBatchTransformInputS3DataDistributionType
MonitoringScheduleBatchTransformInputS3InputMode
MonitoringScheduleClusterConfig
- 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 string The ML compute instance type for the processing job.
- Volume
Size intIn Gb 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 stringKey Id 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 string The ML compute instance type for the processing job.
- Volume
Size intIn Gb 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 stringKey Id 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 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.
- instance
Type String The ML compute instance type for the processing job.
- volume
Size IntegerIn Gb 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 StringKey Id 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 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.
- instance
Type string The ML compute instance type for the processing job.
- volume
Size numberIn Gb 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 stringKey Id 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_ intin_ gb 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_ strkey_ id 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 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.
- instance
Type String The ML compute instance type for the processing job.
- volume
Size NumberIn Gb 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 StringKey Id 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
- Monitoring
Job Pulumi.Definition Aws Native. Sage Maker. Inputs. Monitoring Schedule Monitoring Job Definition - Monitoring
Job stringDefinition Name Name of the job definition
- Monitoring
Type Pulumi.Aws Native. Sage Maker. Monitoring Schedule Monitoring Type - Schedule
Config Pulumi.Aws Native. Sage Maker. Inputs. Monitoring Schedule Schedule Config
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.
MonitoringScheduleCsv
- Header bool
A boolean flag indicating if given CSV has header
- Header bool
A boolean flag indicating if given CSV has header
- header Boolean
A boolean flag indicating if given CSV has header
- header boolean
A boolean flag indicating if given CSV has header
- header bool
A boolean flag indicating if given CSV has header
- header Boolean
A boolean flag indicating if given CSV has header
MonitoringScheduleDatasetFormat
- csv Property Map
- json Property Map
- parquet Boolean
MonitoringScheduleEndpointInput
- Endpoint
Name string - Local
Path string Path to the filesystem where the endpoint data is available to the container.
- S3Data
Distribution Pulumi.Type Aws Native. Sage Maker. Monitoring Schedule Endpoint Input S3Data Distribution Type Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- S3Input
Mode Pulumi.Aws Native. Sage Maker. Monitoring Schedule Endpoint Input S3Input Mode 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 string - Local
Path string Path to the filesystem where the endpoint data is available to the container.
- S3Data
Distribution MonitoringType Schedule Endpoint Input S3Data Distribution Type Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- S3Input
Mode MonitoringSchedule Endpoint Input S3Input Mode 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 String - local
Path String Path to the filesystem where the endpoint data is available to the container.
- s3Data
Distribution MonitoringType Schedule Endpoint Input S3Data Distribution Type Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- s3Input
Mode MonitoringSchedule Endpoint Input S3Input Mode 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 string - local
Path string Path to the filesystem where the endpoint data is available to the container.
- s3Data
Distribution MonitoringType Schedule Endpoint Input S3Data Distribution Type Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- s3Input
Mode MonitoringSchedule Endpoint Input S3Input Mode 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_ Monitoringdistribution_ type Schedule Endpoint Input S3Data Distribution Type Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- s3_
input_ Monitoringmode Schedule Endpoint Input S3Input Mode 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 String - local
Path String Path to the filesystem where the endpoint data is available to the container.
- s3Data
Distribution "FullyType Replicated" | "Sharded By S3Key" Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
- s3Input
Mode "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
MonitoringScheduleJson
- Line bool
A boolean flag indicating if it is JSON line format
- Line bool
A boolean flag indicating if it is JSON line format
- line Boolean
A boolean flag indicating if it is JSON line format
- line boolean
A boolean flag indicating if it is JSON line format
- line bool
A boolean flag indicating if it is JSON line format
- line Boolean
A boolean flag indicating if it is JSON line format
MonitoringScheduleMonitoringAppSpecification
- Image
Uri string The container image to be run by the monitoring job.
- Container
Arguments List<string> An array of arguments for the container used to run the monitoring job.
- Container
Entrypoint List<string> Specifies the entrypoint for a container used to run the monitoring job.
- Post
Analytics stringProcessor Source Uri 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 stringSource Uri 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 string The container image to be run by the monitoring job.
- Container
Arguments []string An array of arguments for the container used to run the monitoring job.
- Container
Entrypoint []string Specifies the entrypoint for a container used to run the monitoring job.
- Post
Analytics stringProcessor Source Uri 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 stringSource Uri 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 String The container image to be run by the monitoring job.
- container
Arguments List<String> An array of arguments for the container used to run the monitoring job.
- container
Entrypoint List<String> Specifies the entrypoint for a container used to run the monitoring job.
- post
Analytics StringProcessor Source Uri 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 StringSource Uri 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 string The container image to be run by the monitoring job.
- container
Arguments string[] An array of arguments for the container used to run the monitoring job.
- container
Entrypoint string[] Specifies the entrypoint for a container used to run the monitoring job.
- post
Analytics stringProcessor Source Uri 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 stringSource Uri 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_ strprocessor_ source_ uri 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_ strsource_ uri 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 String The container image to be run by the monitoring job.
- container
Arguments List<String> An array of arguments for the container used to run the monitoring job.
- container
Entrypoint List<String> Specifies the entrypoint for a container used to run the monitoring job.
- post
Analytics StringProcessor Source Uri 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 StringSource Uri 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
- Creation
Time string The time at which the monitoring job was created.
- Last
Modified stringTime A timestamp that indicates the last time the monitoring job was modified.
- Monitoring
Execution Pulumi.Status Aws Native. Sage Maker. Monitoring Schedule Monitoring Execution Summary Monitoring Execution Status The status of the monitoring job.
- Monitoring
Schedule stringName - Scheduled
Time string The time the monitoring job was scheduled.
- Endpoint
Name string - Failure
Reason string Contains the reason a monitoring job failed, if it failed.
- Processing
Job stringArn The Amazon Resource Name (ARN) of the monitoring job.
- Creation
Time string The time at which the monitoring job was created.
- Last
Modified stringTime A timestamp that indicates the last time the monitoring job was modified.
- Monitoring
Execution MonitoringStatus Schedule Monitoring Execution Summary Monitoring Execution Status The status of the monitoring job.
- Monitoring
Schedule stringName - Scheduled
Time string The time the monitoring job was scheduled.
- Endpoint
Name string - Failure
Reason string Contains the reason a monitoring job failed, if it failed.
- Processing
Job stringArn The Amazon Resource Name (ARN) of the monitoring job.
- creation
Time String The time at which the monitoring job was created.
- last
Modified StringTime A timestamp that indicates the last time the monitoring job was modified.
- monitoring
Execution MonitoringStatus Schedule Monitoring Execution Summary Monitoring Execution Status The status of the monitoring job.
- monitoring
Schedule StringName - scheduled
Time String The time the monitoring job was scheduled.
- endpoint
Name String - failure
Reason String Contains the reason a monitoring job failed, if it failed.
- processing
Job StringArn The Amazon Resource Name (ARN) of the monitoring job.
- creation
Time string The time at which the monitoring job was created.
- last
Modified stringTime A timestamp that indicates the last time the monitoring job was modified.
- monitoring
Execution MonitoringStatus Schedule Monitoring Execution Summary Monitoring Execution Status The status of the monitoring job.
- monitoring
Schedule stringName - scheduled
Time string The time the monitoring job was scheduled.
- endpoint
Name string - failure
Reason string Contains the reason a monitoring job failed, if it failed.
- processing
Job stringArn The Amazon Resource Name (ARN) of the monitoring job.
- creation_
time str The time at which the monitoring job was created.
- last_
modified_ strtime A timestamp that indicates the last time the monitoring job was modified.
- monitoring_
execution_ Monitoringstatus Schedule Monitoring Execution Summary Monitoring Execution Status The status of the monitoring job.
- monitoring_
schedule_ strname - 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_ strarn The Amazon Resource Name (ARN) of the monitoring job.
- creation
Time String The time at which the monitoring job was created.
- last
Modified StringTime A timestamp that indicates the last time the monitoring job was modified.
- monitoring
Execution "Pending" | "Completed" | "CompletedStatus With Violations" | "In Progress" | "Failed" | "Stopping" | "Stopped" The status of the monitoring job.
- monitoring
Schedule StringName - scheduled
Time String The time the monitoring job was scheduled.
- endpoint
Name String - failure
Reason String Contains the reason a monitoring job failed, if it failed.
- processing
Job StringArn The Amazon Resource Name (ARN) of the monitoring job.
MonitoringScheduleMonitoringExecutionSummaryMonitoringExecutionStatus
MonitoringScheduleMonitoringInput
MonitoringScheduleMonitoringJobDefinition
- Monitoring
App Pulumi.Specification Aws Native. Sage Maker. Inputs. Monitoring Schedule Monitoring App Specification - Monitoring
Inputs List<Pulumi.Aws Native. Sage Maker. Inputs. Monitoring Schedule Monitoring Input> - Monitoring
Output Pulumi.Config Aws Native. Sage Maker. Inputs. Monitoring Schedule Monitoring Output Config - Monitoring
Resources Pulumi.Aws Native. Sage Maker. Inputs. Monitoring Schedule Monitoring Resources - Role
Arn string The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- Baseline
Config Pulumi.Aws Native. Sage Maker. Inputs. Monitoring Schedule Baseline Config - Environment object
Sets the environment variables in the Docker container
- Network
Config Pulumi.Aws Native. Sage Maker. Inputs. Monitoring Schedule Network Config - Stopping
Condition Pulumi.Aws Native. Sage Maker. Inputs. Monitoring Schedule Stopping Condition
- Monitoring
App MonitoringSpecification Schedule Monitoring App Specification - Monitoring
Inputs []MonitoringSchedule Monitoring Input - Monitoring
Output MonitoringConfig Schedule Monitoring Output Config - Monitoring
Resources MonitoringSchedule Monitoring Resources - Role
Arn string The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- Baseline
Config MonitoringSchedule Baseline Config - Environment interface{}
Sets the environment variables in the Docker container
- Network
Config MonitoringSchedule Network Config - Stopping
Condition MonitoringSchedule Stopping Condition
- monitoring
App MonitoringSpecification Schedule Monitoring App Specification - monitoring
Inputs List<MonitoringSchedule Monitoring Input> - monitoring
Output MonitoringConfig Schedule Monitoring Output Config - monitoring
Resources MonitoringSchedule Monitoring Resources - role
Arn String The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- baseline
Config MonitoringSchedule Baseline Config - environment Object
Sets the environment variables in the Docker container
- network
Config MonitoringSchedule Network Config - stopping
Condition MonitoringSchedule Stopping Condition
- monitoring
App MonitoringSpecification Schedule Monitoring App Specification - monitoring
Inputs MonitoringSchedule Monitoring Input[] - monitoring
Output MonitoringConfig Schedule Monitoring Output Config - monitoring
Resources MonitoringSchedule Monitoring Resources - role
Arn string The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- baseline
Config MonitoringSchedule Baseline Config - environment any
Sets the environment variables in the Docker container
- network
Config MonitoringSchedule Network Config - stopping
Condition MonitoringSchedule Stopping Condition
- monitoring_
app_ Monitoringspecification Schedule Monitoring App Specification - monitoring_
inputs Sequence[MonitoringSchedule Monitoring Input] - monitoring_
output_ Monitoringconfig Schedule Monitoring Output Config - monitoring_
resources MonitoringSchedule Monitoring Resources - role_
arn str The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- baseline_
config MonitoringSchedule Baseline Config - environment Any
Sets the environment variables in the Docker container
- network_
config MonitoringSchedule Network Config - stopping_
condition MonitoringSchedule Stopping Condition
- monitoring
App Property MapSpecification - monitoring
Inputs List<Property Map> - monitoring
Output Property MapConfig - monitoring
Resources Property Map - role
Arn String The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- baseline
Config Property Map - environment Any
Sets the environment variables in the Docker container
- network
Config Property Map - stopping
Condition Property Map
MonitoringScheduleMonitoringOutput
MonitoringScheduleMonitoringOutputConfig
- Monitoring
Outputs List<Pulumi.Aws Native. Sage Maker. Inputs. Monitoring Schedule Monitoring Output> Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
- Kms
Key stringId 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 []MonitoringSchedule Monitoring Output Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
- Kms
Key stringId 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 List<MonitoringSchedule Monitoring Output> Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
- kms
Key StringId 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 MonitoringSchedule Monitoring Output[] Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
- kms
Key stringId 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[MonitoringSchedule Monitoring Output] Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
- kms_
key_ strid 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 List<Property Map> Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
- kms
Key StringId 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
- Enable
Inter boolContainer Traffic Encryption 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 boolIsolation Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
- Vpc
Config Pulumi.Aws Native. Sage Maker. Inputs. Monitoring Schedule Vpc Config
- Enable
Inter boolContainer Traffic Encryption 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 boolIsolation Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
- Vpc
Config MonitoringSchedule Vpc Config
- enable
Inter BooleanContainer Traffic Encryption 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 BooleanIsolation Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
- vpc
Config MonitoringSchedule Vpc Config
- enable
Inter booleanContainer Traffic Encryption 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 booleanIsolation Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
- vpc
Config MonitoringSchedule Vpc Config
- enable_
inter_ boolcontainer_ traffic_ encryption 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_ boolisolation Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
- vpc_
config MonitoringSchedule Vpc Config
- enable
Inter BooleanContainer Traffic Encryption 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 BooleanIsolation Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
- vpc
Config Property Map
MonitoringScheduleS3Output
- Local
Path 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.
- S3Upload
Mode Pulumi.Aws Native. Sage Maker. Monitoring Schedule S3Output S3Upload Mode Whether to upload the results of the monitoring job continuously or after the job completes.
- Local
Path 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.
- S3Upload
Mode MonitoringSchedule S3Output S3Upload Mode Whether to upload the results of the monitoring job continuously or after the job completes.
- local
Path 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.
- s3Upload
Mode MonitoringSchedule S3Output S3Upload Mode Whether to upload the results of the monitoring job continuously or after the job completes.
- local
Path 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.
- s3Upload
Mode MonitoringSchedule S3Output S3Upload Mode 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_ Monitoringmode Schedule S3Output S3Upload Mode Whether to upload the results of the monitoring job continuously or after the job completes.
- local
Path 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.
- s3Upload
Mode "Continuous" | "EndOf Job" Whether to upload the results of the monitoring job continuously or after the job completes.
MonitoringScheduleS3OutputS3UploadMode
MonitoringScheduleScheduleConfig
- Schedule
Expression string A cron expression that describes details about the monitoring schedule.
- Schedule
Expression string A cron expression that describes details about the monitoring schedule.
- schedule
Expression String A cron expression that describes details about the monitoring schedule.
- schedule
Expression string A cron expression that describes details about the monitoring schedule.
- schedule_
expression str A cron expression that describes details about the monitoring schedule.
- schedule
Expression 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
- Max
Runtime intIn Seconds The maximum runtime allowed in seconds.
- Max
Runtime intIn Seconds The maximum runtime allowed in seconds.
- max
Runtime IntegerIn Seconds The maximum runtime allowed in seconds.
- max
Runtime numberIn Seconds The maximum runtime allowed in seconds.
- max_
runtime_ intin_ seconds The maximum runtime allowed in seconds.
- max
Runtime NumberIn Seconds 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
- Security
Group List<string>Ids 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.
- Security
Group []stringIds 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 List<String>Ids 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.
- security
Group string[]Ids 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_ Sequence[str]ids 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.
- security
Group List<String>Ids 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
- AWS Native pulumi/pulumi-aws-native
- License
- Apache-2.0
AWS Native is in preview. AWS Classic is fully supported.