interface CfnServiceEnvironmentProps
Language | Type name |
---|---|
![]() | Amazon.CDK.AWS.Batch.CfnServiceEnvironmentProps |
![]() | github.com/aws/aws-cdk-go/awscdk/v2/awsbatch#CfnServiceEnvironmentProps |
![]() | software.amazon.awscdk.services.batch.CfnServiceEnvironmentProps |
![]() | aws_cdk.aws_batch.CfnServiceEnvironmentProps |
![]() | aws-cdk-lib » aws_batch » CfnServiceEnvironmentProps |
Properties for defining a CfnServiceEnvironment
.
Example
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import { aws_batch as batch } from 'aws-cdk-lib';
const cfnServiceEnvironmentProps: batch.CfnServiceEnvironmentProps = {
capacityLimits: [{
capacityUnit: 'capacityUnit',
maxCapacity: 123,
}],
serviceEnvironmentType: 'serviceEnvironmentType',
// the properties below are optional
serviceEnvironmentName: 'serviceEnvironmentName',
state: 'state',
tags: {
tagsKey: 'tags',
},
};
Properties
Name | Type | Description |
---|---|---|
capacity | IResolvable | IResolvable | Capacity [] | The capacity limits for the service environment. |
service | string | The type of service environment. |
service | string | The name of the service environment. |
state? | string | The state of the service environment. |
tags? | { [string]: string } | The tags associated with the service environment. |
capacityLimits
Type:
IResolvable
|
IResolvable
|
Capacity
[]
The capacity limits for the service environment.
This defines the maximum resources that can be used by service jobs in this environment.
serviceEnvironmentType
Type:
string
The type of service environment.
For SageMaker Training jobs, this value is SAGEMAKER_TRAINING
.
serviceEnvironmentName?
Type:
string
(optional)
The name of the service environment.
state?
Type:
string
(optional)
The state of the service environment.
Valid values are ENABLED
and DISABLED
.
tags?
Type:
{ [string]: string }
(optional)
The tags associated with the service environment.
Each tag consists of a key and an optional value. For more information, see Tagging your AWS Batch resources .