CreateComputeEnvironment
Creates an AWS Batch compute environment. You can create MANAGED
or
UNMANAGED
compute environments. MANAGED
compute environments can
use Amazon EC2 or AWS Fargate resources. UNMANAGED
compute environments can only use
EC2 resources.
In a managed compute environment, AWS Batch manages the capacity and instance types of the compute resources within the environment. This is based on the compute resource specification that you define or the launch template that you specify when you create the compute environment. Either, you can choose to use EC2 On-Demand Instances and EC2 Spot Instances. Or, you can use Fargate and Fargate Spot capacity in your managed compute environment. You can optionally set a maximum price so that Spot Instances only launch when the Spot Instance price is less than a specified percentage of the On-Demand price.
Note
Multi-node parallel jobs aren't supported on Spot Instances.
In an unmanaged compute environment, you can manage your own EC2 compute resources and have flexibility with how you configure your compute resources. For example, you can use custom AMIs. However, you must verify that each of your AMIs meet the Amazon ECS container instance AMI specification. For more information, see container instance AMIs in the Amazon Elastic Container Service Developer Guide. After you created your unmanaged compute environment, you can use the DescribeComputeEnvironments operation to find the Amazon ECS cluster that's associated with it. Then, launch your container instances into that Amazon ECS cluster. For more information, see Launching an Amazon ECS container instance in the Amazon Elastic Container Service Developer Guide.
Note
To create a compute environment that uses EKS resources, the caller must have
permissions to call eks:DescribeCluster
.
Note
AWS Batch doesn't automatically upgrade the AMIs in a compute environment after it's created. For example, it also doesn't update the AMIs in your compute environment when a newer version of the Amazon ECS optimized AMI is available. You're responsible for the management of the guest operating system. This includes any updates and security patches. You're also responsible for any additional application software or utilities that you install on the compute resources. There are two ways to use a new AMI for your AWS Batch jobs. The original method is to complete these steps:
-
Create a new compute environment with the new AMI.
-
Add the compute environment to an existing job queue.
-
Remove the earlier compute environment from your job queue.
-
Delete the earlier compute environment.
In April 2022, AWS Batch added enhanced support for updating compute environments. For more information, see Updating compute environments. To use the enhanced updating of compute environments to update AMIs, follow these rules:
-
Either don't set the service role (
serviceRole
) parameter or set it to the AWSBatchServiceRole service-linked role. -
Set the allocation strategy (
allocationStrategy
) parameter toBEST_FIT_PROGRESSIVE
,SPOT_CAPACITY_OPTIMIZED
, orSPOT_PRICE_CAPACITY_OPTIMIZED
. -
Set the update to latest image version (
updateToLatestImageVersion
) parameter totrue
. TheupdateToLatestImageVersion
parameter is used when you update a compute environment. This parameter is ignored when you create a compute environment. -
Don't specify an AMI ID in
imageId
,imageIdOverride
(inec2Configuration
), or in the launch template (launchTemplate
). In that case, AWS Batch selects the latest Amazon ECS optimized AMI that's supported by AWS Batch at the time the infrastructure update is initiated. Alternatively, you can specify the AMI ID in theimageId
orimageIdOverride
parameters, or the launch template identified by theLaunchTemplate
properties. Changing any of these properties starts an infrastructure update. If the AMI ID is specified in the launch template, it can't be replaced by specifying an AMI ID in either theimageId
orimageIdOverride
parameters. It can only be replaced by specifying a different launch template, or if the launch template version is set to$Default
or$Latest
, by setting either a new default version for the launch template (if$Default
) or by adding a new version to the launch template (if$Latest
).
If these rules are followed, any update that starts an infrastructure update causes the
AMI ID to be re-selected. If the version
setting in the launch template
(launchTemplate
) is set to $Latest
or $Default
, the
latest or default version of the launch template is evaluated up at the time of the
infrastructure update, even if the launchTemplate
wasn't updated.
Request Syntax
POST /v1/createcomputeenvironment HTTP/1.1
Content-type: application/json
{
"computeEnvironmentName": "string
",
"computeResources": {
"allocationStrategy": "string
",
"bidPercentage": number
,
"desiredvCpus": number
,
"ec2Configuration": [
{
"imageIdOverride": "string
",
"imageKubernetesVersion": "string
",
"imageType": "string
"
}
],
"ec2KeyPair": "string
",
"imageId": "string
",
"instanceRole": "string
",
"instanceTypes": [ "string
" ],
"launchTemplate": {
"launchTemplateId": "string
",
"launchTemplateName": "string
",
"overrides": [
{
"launchTemplateId": "string
",
"launchTemplateName": "string
",
"targetInstanceTypes": [ "string
" ],
"version": "string
"
}
],
"version": "string
"
},
"maxvCpus": number
,
"minvCpus": number
,
"placementGroup": "string
",
"securityGroupIds": [ "string
" ],
"spotIamFleetRole": "string
",
"subnets": [ "string
" ],
"tags": {
"string
" : "string
"
},
"type": "string
"
},
"context": "string
",
"eksConfiguration": {
"eksClusterArn": "string
",
"kubernetesNamespace": "string
"
},
"serviceRole": "string
",
"state": "string
",
"tags": {
"string
" : "string
"
},
"type": "string
",
"unmanagedvCpus": number
}
URI Request Parameters
The request does not use any URI parameters.
Request Body
The request accepts the following data in JSON format.
- computeEnvironmentName
-
The name for your compute environment. It can be up to 128 characters long. It can contain uppercase and lowercase letters, numbers, hyphens (-), and underscores (_).
Type: String
Required: Yes
- computeResources
-
Details about the compute resources managed by the compute environment. This parameter is required for managed compute environments. For more information, see Compute Environments in the AWS Batch User Guide.
Type: ComputeResource object
Required: No
- context
-
Reserved.
Type: String
Length Constraints: Minimum length of 0. Maximum length of 256.
Required: No
- eksConfiguration
-
The details for the Amazon EKS cluster that supports the compute environment.
Type: EksConfiguration object
Required: No
- serviceRole
-
The full Amazon Resource Name (ARN) of the IAM role that allows AWS Batch to make calls to other AWS services on your behalf. For more information, see AWS Batch service IAM role in the AWS Batch User Guide.
Important
If your account already created the AWS Batch service-linked role, that role is used by default for your compute environment unless you specify a different role here. If the AWS Batch service-linked role doesn't exist in your account, and no role is specified here, the service attempts to create the AWS Batch service-linked role in your account.
If your specified role has a path other than
/
, then you must specify either the full role ARN (recommended) or prefix the role name with the path. For example, if a role with the namebar
has a path of/foo/
, specify/foo/bar
as the role name. For more information, see Friendly names and paths in the IAM User Guide.Note
Depending on how you created your AWS Batch service role, its ARN might contain the
service-role
path prefix. When you only specify the name of the service role, AWS Batch assumes that your ARN doesn't use theservice-role
path prefix. Because of this, we recommend that you specify the full ARN of your service role when you create compute environments.Type: String
Required: No
- state
-
The state of the compute environment. If the state is
ENABLED
, then the compute environment accepts jobs from a queue and can scale out automatically based on queues.If the state is
ENABLED
, then the AWS Batch scheduler can attempt to place jobs from an associated job queue on the compute resources within the environment. If the compute environment is managed, then it can scale its instances out or in automatically, based on the job queue demand.If the state is
DISABLED
, then the AWS Batch scheduler doesn't attempt to place jobs within the environment. Jobs in aSTARTING
orRUNNING
state continue to progress normally. Managed compute environments in theDISABLED
state don't scale out.Note
Compute environments in a
DISABLED
state may continue to incur billing charges. To prevent additional charges, turn off and then delete the compute environment. For more information, see State in the AWS Batch User Guide.When an instance is idle, the instance scales down to the
minvCpus
value. However, the instance size doesn't change. For example, consider ac5.8xlarge
instance with aminvCpus
value of4
and adesiredvCpus
value of36
. This instance doesn't scale down to ac5.large
instance.Type: String
Valid Values:
ENABLED | DISABLED
Required: No
-
The tags that you apply to the compute environment to help you categorize and organize your resources. Each tag consists of a key and an optional value. For more information, see Tagging AWS Resources in AWS General Reference.
These tags can be updated or removed using the TagResource and UntagResource API operations. These tags don't propagate to the underlying compute 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
- type
-
The type of the compute environment:
MANAGED
orUNMANAGED
. For more information, see Compute Environments in the AWS Batch User Guide.Type: String
Valid Values:
MANAGED | UNMANAGED
Required: Yes
- unmanagedvCpus
-
The maximum number of vCPUs for an unmanaged compute environment. This parameter is only used for fair share scheduling to reserve vCPU capacity for new share identifiers. If this parameter isn't provided for a fair share job queue, no vCPU capacity is reserved.
Note
This parameter is only supported when the
type
parameter is set toUNMANAGED
.Type: Integer
Required: No
Response Syntax
HTTP/1.1 200
Content-type: application/json
{
"computeEnvironmentArn": "string",
"computeEnvironmentName": "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.
- computeEnvironmentArn
-
The Amazon Resource Name (ARN) of the compute environment.
Type: String
- computeEnvironmentName
-
The name of the compute environment. It can be up to 128 characters long. It can contain uppercase and lowercase letters, numbers, hyphens (-), and underscores (_).
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 managed compute environment with specific C4 instance types
that are launched on demand. The compute environment is called
C4OnDemand
.
Sample Request
POST /v1/createcomputeenvironment HTTP/1.1
Host: batch.us-east-1.amazonaws.com
Accept-Encoding: identity
Content-Length: [content-length]
Authorization: [authorization-params]
X-Amz-Date: 20161128T223128Z
User-Agent: aws-cli/1.11.21 Python/2.7.12 Darwin/16.1.0 botocore/1.4.78
{
"computeEnvironmentName": "C4OnDemand",
"state": "ENABLED",
"type": "MANAGED",
"computeResources": {
"subnets": [
"subnet-220c0e0a",
"subnet-1a95556d",
"subnet-978f6dce"
],
"tags": {
"Name": "Batch Instance - C4OnDemand",
"Department": "Engineering"
},
"desiredvCpus": 48,
"minvCpus": 0,
"instanceTypes": [
"c4.large",
"c4.xlarge",
"c4.2xlarge",
"c4.4xlarge",
"c4.8xlarge"
],
"securityGroupIds": [
"sg-cf5093b2"
],
"instanceRole": "ecsInstanceRole",
"maxvCpus": 128,
"type": "EC2",
"ec2KeyPair": "id_rsa"
},
"serviceRole": "arn:aws:iam::123456789012:role/AWSBatchServiceRole"
}
Sample Response
HTTP/1.1 200 OK
Date: Mon, 28 Nov 2016 22:31:28 GMT
Content-Type: application/json
Content-Length: [content-length]
Connection: keep-alive
x-amzn-RequestId: [request-id]
X-Amzn-Trace-Id: [trace-id]
X-Cache: Miss from cloudfront
Via: 1.1 7e587c722adb25336835ccb4e5814e4e.cloudfront.net (CloudFront)
X-Amz-Cf-Id: GwQRsxvmiuj1HYwbYq9MAEsQfJpN6BknGQlNX1jAd5qLQFXyHBwOUQ==
{
"computeEnvironmentName": "C4OnDemand",
"computeEnvironmentArn": "arn:aws:batch:us-east-1:123456789012:compute-environment/C4OnDemand"
}
Example
This example creates a managed compute environment with the M4 instance type that's
launched when the Spot Instance price less than or equal to 20% of the On-Demand price for
the instance type. The compute environment is called M4Spot
.
Sample Request
POST /v1/createcomputeenvironment HTTP/1.1
Host: batch.us-east-1.amazonaws.com
Accept-Encoding: identity
Content-Length: [content-length]
Authorization: [authorization-params]
X-Amz-Date: 20161128T223813Z
User-Agent: aws-cli/1.11.21 Python/2.7.12 Darwin/16.1.0 botocore/1.4.78
{
"computeEnvironmentName": "M4Spot",
"state": "ENABLED",
"type": "MANAGED",
"computeResources": {
"subnets": [
"subnet-220c0e0a",
"subnet-1a95556d",
"subnet-978f6dce"
],
"type": "SPOT",
"spotIamFleetRole": "arn:aws:iam::123456789012:role/aws-ec2-spot-fleet-role",
"tags": {
"Name": "Batch Instance - M4Spot",
"Department": "Marketing"
},
"desiredvCpus": 4,
"minvCpus": 0,
"instanceTypes": [
"m4"
],
"securityGroupIds": [
"sg-cf5093b2"
],
"instanceRole": "ecsInstanceRole",
"maxvCpus": 128,
"bidPercentage": 20,
"ec2KeyPair": "id_rsa"
},
"serviceRole": "arn:aws:iam::123456789012:role/AWSBatchServiceRole"
}
Sample Response
HTTP/1.1 200 OK
Date: Mon, 28 Nov 2016 22:38:16 GMT
Content-Type: application/json
Content-Length: [content-length]
Connection: keep-alive
x-amzn-RequestId: [request-id]
X-Amzn-Trace-Id: [trace-id]
X-Cache: Miss from cloudfront
Via: 1.1 8455edd9286a1292a39c993fdeccce65.cloudfront.net (CloudFront)
X-Amz-Cf-Id: 4mklLyUpygUko86fMNzPgA8_D64lSwPmG6iIKhAZkGpOp2e-3cKg_w==
{
"computeEnvironmentName": "M4Spot",
"computeEnvironmentArn": "arn:aws:batch:us-east-1:123456789012:compute-environment/M4Spot"
}
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following: