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[ aws . batch ]

create-compute-environment

Description

Creates an AWS Batch compute environment. You can create MANAGED or UNMANAGED compute environments.

In a managed compute environment, AWS Batch manages the capacity and instance types of the compute resources within the environment, based on the compute resource specification that you define or launch template that you specify when you create the compute environment. You can choose to use Amazon EC2 On-Demand Instances or Spot Instances in your managed compute environment. You can optionally set a maximum price so that Spot Instances only launch when the Spot Instance price is below a specified percentage of the On-Demand price.

In an unmanaged compute environment, you can manage your own compute resources. This provides more compute resource configuration options, such as using a custom AMI, but you must ensure that your AMI meets the Amazon ECS container instance AMI specification. For more information, see Container Instance AMIs in the Amazon Elastic Container Service Developer Guide . After you have created your unmanaged compute environment, you can use the DescribeComputeEnvironments operation to find the Amazon ECS cluster that is associated with it and then manually 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

AWS Batch does not upgrade the AMIs in a compute environment after it is created (for example, when a newer version of the Amazon ECS-optimized AMI is available). You are responsible for the management of the guest operating system (including updates and security patches) and any additional application software or utilities that you install on the compute resources. To use a new AMI for your AWS Batch jobs:

  • Create a new compute environment with the new AMI.
  • Add the compute environment to an existing job queue.
  • Remove the old compute environment from your job queue.
  • Delete the old compute environment.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  create-compute-environment
--compute-environment-name <value>
--type <value>
[--state <value>]
[--compute-resources <value>]
--service-role <value>
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--compute-environment-name (string)

The name for your compute environment. Up to 128 letters (uppercase and lowercase), numbers, hyphens, and underscores are allowed.

--type (string)

The type of the compute environment. For more information, see Compute Environments in the AWS Batch User Guide .

Possible values:

  • MANAGED
  • UNMANAGED

--state (string)

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.

Possible values:

  • ENABLED
  • DISABLED

--compute-resources (structure)

Details of the compute resources managed by the compute environment. This parameter is required for managed compute environments.

Shorthand Syntax:

type=string,minvCpus=integer,maxvCpus=integer,desiredvCpus=integer,instanceTypes=string,string,imageId=string,subnets=string,string,securityGroupIds=string,string,ec2KeyPair=string,instanceRole=string,tags={KeyName1=string,KeyName2=string},bidPercentage=integer,spotIamFleetRole=string,launchTemplate={launchTemplateId=string,launchTemplateName=string,version=string}

JSON Syntax:

{
  "type": "EC2"|"SPOT",
  "minvCpus": integer,
  "maxvCpus": integer,
  "desiredvCpus": integer,
  "instanceTypes": ["string", ...],
  "imageId": "string",
  "subnets": ["string", ...],
  "securityGroupIds": ["string", ...],
  "ec2KeyPair": "string",
  "instanceRole": "string",
  "tags": {"string": "string"
    ...},
  "bidPercentage": integer,
  "spotIamFleetRole": "string",
  "launchTemplate": {
    "launchTemplateId": "string",
    "launchTemplateName": "string",
    "version": "string"
  }
}

--service-role (string)

The full Amazon Resource Name (ARN) of the IAM role that allows AWS Batch to make calls to other AWS services on your behalf.

If your specified role has a path other than / , then you must either specify the full role ARN (this is recommended) or prefix the role name with the path.

Note

Depending on how you created your AWS Batch service role, its ARN may contain the service-role path prefix. When you only specify the name of the service role, AWS Batch assumes that your ARN does not use the service-role path prefix. Because of this, we recommend that you specify the full ARN of your service role when you create compute environments.

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See 'aws help' for descriptions of global parameters.

Examples

To create a managed compute environment with On-Demand instances

This example creates a managed compute environment with specific C4 instance types that are launched on demand. The compute environment is called C4OnDemand.

Command:

aws batch create-compute-environment --cli-input-json file://<path_to_json_file>/C4OnDemand.json

JSON file format:

{
  "computeEnvironmentName": "C4OnDemand",
  "type": "MANAGED",
  "state": "ENABLED",
  "computeResources": {
    "type": "EC2",
    "minvCpus": 0,
    "maxvCpus": 128,
    "desiredvCpus": 48,
    "instanceTypes": [
      "c4.large",
      "c4.xlarge",
      "c4.2xlarge",
      "c4.4xlarge",
      "c4.8xlarge"
    ],
    "subnets": [
      "subnet-220c0e0a",
      "subnet-1a95556d",
      "subnet-978f6dce"
    ],
    "securityGroupIds": [
      "sg-cf5093b2"
    ],
    "ec2KeyPair": "id_rsa",
    "instanceRole": "ecsInstanceRole",
    "tags": {
      "Name": "Batch Instance - C4OnDemand"
    }
  },
  "serviceRole": "arn:aws:iam::012345678910:role/AWSBatchServiceRole"
}

Output:

{
    "computeEnvironmentName": "C4OnDemand",
    "computeEnvironmentArn": "arn:aws:batch:us-east-1:012345678910:compute-environment/C4OnDemand"
}

To create a managed compute environment with Spot Instances

This example creates a managed compute environment with the M4 instance type that is launched when the Spot bid price is at or below 20% of the On-Demand price for the instance type. The compute environment is called M4Spot.

Command:

aws batch create-compute-environment --cli-input-json file://<path_to_json_file>/M4Spot.json

JSON file format:

{
  "computeEnvironmentName": "M4Spot",
  "type": "MANAGED",
  "state": "ENABLED",
  "computeResources": {
    "type": "SPOT",
    "spotIamFleetRole": "arn:aws:iam::012345678910:role/aws-ec2-spot-fleet-role",
    "minvCpus": 0,
    "maxvCpus": 128,
    "desiredvCpus": 4,
    "instanceTypes": [
      "m4"
    ],
    "bidPercentage": 20,
    "subnets": [
      "subnet-220c0e0a",
      "subnet-1a95556d",
      "subnet-978f6dce"
    ],
    "securityGroupIds": [
      "sg-cf5093b2"
    ],
    "ec2KeyPair": "id_rsa",
    "instanceRole": "ecsInstanceRole",
    "tags": {
      "Name": "Batch Instance - M4Spot"
    }
  },
  "serviceRole": "arn:aws:iam::012345678910:role/AWSBatchServiceRole"
}

Output:

{
    "computeEnvironmentName": "M4Spot",
    "computeEnvironmentArn": "arn:aws:batch:us-east-1:012345678910:compute-environment/M4Spot"
}

Output

computeEnvironmentName -> (string)

The name of the compute environment.

computeEnvironmentArn -> (string)

The Amazon Resource Name (ARN) of the compute environment.