CreateServiceEnvironment
Creates a service environment for running service jobs. Service environments define capacity limits for specific service types such as SageMaker Training jobs.
Request Syntax
POST /v1/createserviceenvironment HTTP/1.1
Content-type: application/json
{
"capacityLimits": [
{
"capacityUnit": "string
",
"maxCapacity": number
}
],
"serviceEnvironmentName": "string
",
"serviceEnvironmentType": "string
",
"state": "string
",
"tags": {
"string
" : "string
"
}
}
URI Request Parameters
The request does not use any URI parameters.
Request Body
The request accepts the following data in JSON format.
- capacityLimits
-
The capacity limits for the service environment. The number of instances a job consumes is the total number of instances requested in the submit training job request resource configuration.
Type: Array of CapacityLimit objects
Required: Yes
- serviceEnvironmentName
-
The name for the service environment. It can be up to 128 characters long and can contain letters, numbers, hyphens (-), and underscores (_).
Type: String
Required: Yes
- serviceEnvironmentType
-
The type of service environment. For SageMaker Training jobs, specify
SAGEMAKER_TRAINING
.Type: String
Valid Values:
SAGEMAKER_TRAINING
Required: Yes
- state
-
The state of the service environment. Valid values are
ENABLED
andDISABLED
. The default value isENABLED
.Type: String
Valid Values:
ENABLED | DISABLED
Required: No
-
The tags that you apply to the service environment to help you categorize and organize your resources. Each tag consists of a key and an optional value. For more information, see Tagging your AWS Batch resources.
Type: String to string map
Map Entries: Maximum number of 50 items.
Key Length Constraints: Minimum length of 1. Maximum length of 128.
Value Length Constraints: Maximum length of 256.
Required: No
Response Syntax
HTTP/1.1 200
Content-type: application/json
{
"serviceEnvironmentArn": "string",
"serviceEnvironmentName": "string"
}
Response Elements
If the action is successful, the service sends back an HTTP 200 response.
The following data is returned in JSON format by the service.
- serviceEnvironmentArn
-
The Amazon Resource Name (ARN) of the service environment.
Type: String
- serviceEnvironmentName
-
The name of the service environment.
Type: String
Errors
- ClientException
-
These errors are usually caused by a client action. One example cause is using an action or resource on behalf of a user that doesn't have permissions to use the action or resource. Another cause is specifying an identifier that's not valid.
HTTP Status Code: 400
- ServerException
-
These errors are usually caused by a server issue.
HTTP Status Code: 500
Examples
In the following example or examples, the Authorization header contents
(
[authorization-params]
) must be replaced with an AWS Signature Version 4
signature. For more information about creating these signatures, see Signature Version 4 Signing Process in the
AWS
General Reference.
You only need to learn how to sign HTTP requests if you intend to manually create them. When you use the AWS Command Line Interface (AWS CLI)
Example
This example creates a service environment for SageMaker Training jobs.
Sample Request
POST /v1/createserviceenvironment HTTP/1.1
Host: batch.us-east-1.amazonaws.com
Accept-Encoding: identity
Content-Length: [content-length]
Authorization: [authorization-params]
X-Amz-Date: 20250801T001258Z
User-Agent: aws-cli/2.27.33 Python/3.13.4 Darwin/24.3.0
{
"serviceEnvironmentName": "SageMakerTrainingEnv",
"serviceEnvironmentType": "SAGEMAKER_TRAINING",
"capacityLimits": [
{
"maxCapacity": 50,
"capacityUnit": "NUM_INSTANCES"
}
]
}
Sample Response
HTTP/1.1 200 OK
Content-Type: application/json
Content-Length: [content-length]
Connection: keep-alive
Date: Fri, 01 Aug 2025 00:12:59 GMT
x-amzn-RequestId: [request-id]
X-Amzn-Trace-Id: [trace-id]
X-Cache: Miss from cloudfront
Via: 1.1 example7k9m3n8q4r2w5x1z6c4vexample.cloudfront.net (CloudFront)
X-Amz-Cf-Id: whn1dX1uTx34Lvao7-7ZdkDXEbCZ_sjn3v3hHVFgbo1ORJtXyexample
{
"serviceEnvironmentName": "SageMakerTrainingEnv",
"serviceEnvironmentArn": "arn:aws:batch:us-east-1:123456789012:service-environment/SageMakerTrainingEnv"
}
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following: