[ aws . batch ]

create-compute-environment

Description

Creates an Batch compute environment. You can create MANAGED or UNMANAGED compute environments. MANAGED compute environments can use Amazon EC2 or Fargate resources. UNMANAGED compute environments can only use EC2 resources.

In a managed compute environment, 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 a lot of 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

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 For example, it also doesn’t update the AMIs in your compute environment when a newer version of the Amazon ECS optimized AMI is available.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 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, 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 do not set the service role (serviceRole ) parameter or set it to the AWSBatchServiceRole service-linked role.

  • Set the allocation strategy (allocationStrategy ) parameter to BEST_FIT_PROGRESSIVE or SPOT_CAPACITY_OPTIMIZED .

  • Set the update to latest image version (updateToLatestImageVersion ) parameter to true .

  • Do not specify an AMI ID in imageId , imageIdOverride (in ` ec2Configuration https://docs.aws.amazon.com/batch/latest/APIReference/API_Ec2Configuration.html`__ ), or in the launch template (launchTemplate ). In that case Batch will select the latest Amazon ECS optimized AMI supported by Batch at the time the infrastructure update is initiated. Alternatively you can specify the AMI ID in the imageId or imageIdOverride parameters, or the launch template identified by the LaunchTemplate properties. Changing any of these properties will trigger an infrastructure update. If the AMI ID is specified in the launch template, it can not be replaced by specifying an AMI ID in either the imageId or imageIdOverride 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 triggers an infrastructure update will cause 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 will be evaluated up at the time of the infrastructure update, even if the launchTemplate was not updated.

See also: AWS API Documentation

Synopsis

  create-compute-environment
--compute-environment-name <value>
--type <value>
[--state <value>]
[--unmanagedv-cpus <value>]
[--compute-resources <value>]
[--service-role <value>]
[--tags <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]

Options

--compute-environment-name (string)

The name for your compute environment. It can be up to 128 letters long. It can contain uppercase and lowercase letters, numbers, hyphens (-), and underscores (_).

--type (string)

The type of the compute environment: MANAGED or UNMANAGED . For more information, see Compute Environments in the 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.

If the state is ENABLED , then the 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 Batch scheduler doesn’t attempt to place jobs within the environment. Jobs in a STARTING or RUNNING state continue to progress normally. Managed compute environments in the DISABLED state don’t scale out. However, they scale in to minvCpus value after instances become idle.

Possible values:

  • ENABLED

  • DISABLED

--unmanagedv-cpus (integer)

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 to UNMANAGED .

--compute-resources (structure)

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 Batch User Guide .

type -> (string)

The type of compute environment: EC2 , SPOT , FARGATE , or FARGATE_SPOT . For more information, see Compute environments in the Batch User Guide .

If you choose SPOT , you must also specify an Amazon EC2 Spot Fleet role with the spotIamFleetRole parameter. For more information, see Amazon EC2 spot fleet role in the Batch User Guide .

allocationStrategy -> (string)

The allocation strategy to use for the compute resource if not enough instances of the best fitting instance type can be allocated. This might be because of availability of the instance type in the Region or Amazon EC2 service limits . For more information, see Allocation strategies in the Batch User Guide .

Note

This parameter isn’t applicable to jobs that are running on Fargate resources, and shouldn’t be specified.

BEST_FIT (default)

Batch selects an instance type that best fits the needs of the jobs with a preference for the lowest-cost instance type. If additional instances of the selected instance type aren’t available, Batch waits for the additional instances to be available. If there aren’t enough instances available, or if the user is reaching Amazon EC2 service limits then additional jobs aren’t run until the currently running jobs have completed. This allocation strategy keeps costs lower but can limit scaling. If you are using Spot Fleets with BEST_FIT then the Spot Fleet IAM Role must be specified. Compute resources that use a BEST_FIT allocation strategy don’t support infrastructure updates and can’t update some parameters. For more information, see Updating compute environments in the Batch User Guide .

BEST_FIT_PROGRESSIVE

Batch will select additional instance types that are large enough to meet the requirements of the jobs in the queue, with a preference for instance types with a lower cost per unit vCPU. If additional instances of the previously selected instance types aren’t available, Batch will select new instance types.

SPOT_CAPACITY_OPTIMIZED

Batch will select one or more instance types that are large enough to meet the requirements of the jobs in the queue, with a preference for instance types that are less likely to be interrupted. This allocation strategy is only available for Spot Instance compute resources.

With both BEST_FIT_PROGRESSIVE and SPOT_CAPACITY_OPTIMIZED strategies, Batch might need to go above maxvCpus to meet your capacity requirements. In this event, Batch never exceeds maxvCpus by more than a single instance.

minvCpus -> (integer)

The minimum number of Amazon EC2 vCPUs that an environment should maintain (even if the compute environment is DISABLED ).

Note

This parameter isn’t applicable to jobs that are running on Fargate resources, and shouldn’t be specified.

maxvCpus -> (integer)

The maximum number of Amazon EC2 vCPUs that a compute environment can reach.

Note

With both BEST_FIT_PROGRESSIVE and SPOT_CAPACITY_OPTIMIZED allocation strategies, Batch might need to exceed maxvCpus to meet your capacity requirements. In this event, Batch never exceeds maxvCpus by more than a single instance. For example, no more than a single instance from among those specified in your compute environment is allocated.

desiredvCpus -> (integer)

The desired number of Amazon EC2 vCPUS in the compute environment. Batch modifies this value between the minimum and maximum values, based on job queue demand.

Note

This parameter isn’t applicable to jobs that are running on Fargate resources, and shouldn’t be specified.

instanceTypes -> (list)

The instances types that can be launched. You can specify instance families to launch any instance type within those families (for example, c5 or p3 ), or you can specify specific sizes within a family (such as c5.8xlarge ). You can also choose optimal to select instance types (from the C4, M4, and R4 instance families) that match the demand of your job queues.

Note

This parameter isn’t applicable to jobs that are running on Fargate resources, and shouldn’t be specified.

Note

When you create a compute environment, the instance types that you select for the compute environment must share the same architecture. For example, you can’t mix x86 and ARM instances in the same compute environment.

Note

Currently, optimal uses instance types from the C4, M4, and R4 instance families. In Regions that don’t have instance types from those instance families, instance types from the C5, M5. and R5 instance families are used.

(string)

imageId -> (string)

The Amazon Machine Image (AMI) ID used for instances launched in the compute environment. This parameter is overridden by the imageIdOverride member of the Ec2Configuration structure.

Note

This parameter isn’t applicable to jobs that are running on Fargate resources, and shouldn’t be specified.

Note

The AMI that you choose for a compute environment must match the architecture of the instance types that you intend to use for that compute environment. For example, if your compute environment uses A1 instance types, the compute resource AMI that you choose must support ARM instances. Amazon ECS vends both x86 and ARM versions of the Amazon ECS-optimized Amazon Linux 2 AMI. For more information, see Amazon ECS-optimized Amazon Linux 2 AMI in the Amazon Elastic Container Service Developer Guide .

subnets -> (list)

The VPC subnets where the compute resources are launched. These subnets must be within the same VPC. Fargate compute resources can contain up to 16 subnets. For more information, see VPCs and subnets in the Amazon VPC User Guide .

(string)

securityGroupIds -> (list)

The Amazon EC2 security groups associated with instances launched in the compute environment. One or more security groups must be specified, either in securityGroupIds or using a launch template referenced in launchTemplate . This parameter is required for jobs that are running on Fargate resources and must contain at least one security group. Fargate doesn’t support launch templates. If security groups are specified using both securityGroupIds and launchTemplate , the values in securityGroupIds are used.

(string)

ec2KeyPair -> (string)

The Amazon EC2 key pair that’s used for instances launched in the compute environment. You can use this key pair to log in to your instances with SSH.

Note

This parameter isn’t applicable to jobs that are running on Fargate resources, and shouldn’t be specified.

instanceRole -> (string)

The Amazon ECS instance profile applied to Amazon EC2 instances in a compute environment. You can specify the short name or full Amazon Resource Name (ARN) of an instance profile. For example, `` ecsInstanceRole `` or ``arn:aws:iam::<aws_account_id> :instance-profile/ecsInstanceRole `` . For more information, see Amazon ECS instance role in the Batch User Guide .

Note

This parameter isn’t applicable to jobs that are running on Fargate resources, and shouldn’t be specified.

tags -> (map)

Key-value pair tags to be applied to EC2 resources that are launched in the compute environment. For Batch, these take the form of “String1”: “String2”, where String1 is the tag key and String2 is the tag value−for example, { "Name": "Batch Instance - C4OnDemand" } . This is helpful for recognizing your Batch instances in the Amazon EC2 console. Updating these tags requires an infrastructure update to the compute environment. For more information, see Updating compute environments in the Batch User Guide . These tags aren’t seen when using the Batch ListTagsForResource API operation.

Note

This parameter isn’t applicable to jobs that are running on Fargate resources, and shouldn’t be specified.

key -> (string)

value -> (string)

placementGroup -> (string)

The Amazon EC2 placement group to associate with your compute resources. If you intend to submit multi-node parallel jobs to your compute environment, you should consider creating a cluster placement group and associate it with your compute resources. This keeps your multi-node parallel job on a logical grouping of instances within a single Availability Zone with high network flow potential. For more information, see Placement groups in the Amazon EC2 User Guide for Linux Instances .

Note

This parameter isn’t applicable to jobs that are running on Fargate resources, and shouldn’t be specified.

bidPercentage -> (integer)

The maximum percentage that a Spot Instance price can be when compared with the On-Demand price for that instance type before instances are launched. For example, if your maximum percentage is 20%, then the Spot price must be less than 20% of the current On-Demand price for that Amazon EC2 instance. You always pay the lowest (market) price and never more than your maximum percentage. If you leave this field empty, the default value is 100% of the On-Demand price.

Note

This parameter isn’t applicable to jobs that are running on Fargate resources, and shouldn’t be specified.

spotIamFleetRole -> (string)

The Amazon Resource Name (ARN) of the Amazon EC2 Spot Fleet IAM role applied to a SPOT compute environment. This role is required if the allocation strategy set to BEST_FIT or if the allocation strategy isn’t specified. For more information, see Amazon EC2 spot fleet role in the Batch User Guide .

Note

This parameter isn’t applicable to jobs that are running on Fargate resources, and shouldn’t be specified.

Warning

To tag your Spot Instances on creation, the Spot Fleet IAM role specified here must use the newer AmazonEC2SpotFleetTaggingRole managed policy. The previously recommended AmazonEC2SpotFleetRole managed policy doesn’t have the required permissions to tag Spot Instances. For more information, see Spot instances not tagged on creation in the Batch User Guide .

launchTemplate -> (structure)

The launch template to use for your compute resources. Any other compute resource parameters that you specify in a CreateComputeEnvironment API operation override the same parameters in the launch template. You must specify either the launch template ID or launch template name in the request, but not both. For more information, see Launch template support in the Batch User Guide .

Note

This parameter isn’t applicable to jobs that are running on Fargate resources, and shouldn’t be specified.

launchTemplateId -> (string)

The ID of the launch template.

launchTemplateName -> (string)

The name of the launch template.

version -> (string)

The version number of the launch template, $Latest , or $Default .

If the value is $Latest , the latest version of the launch template is used. If the value is $Default , the default version of the launch template is used.

Warning

If the AMI ID that’s used in a compute environment is from the launch template, the AMI isn’t changed when the compute environment is updated. It’s only changed if the updateToLatestImageVersion parameter for the compute environment is set to true . During an infrastructure update, if either $Latest or $Default is specified, Batch re-evaluates the launch template version, and it might use a different version of the launch template. This is the case even if the launch template isn’t specified in the update. When updating a compute environment, changing the launch template requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide .

Default: $Default .

ec2Configuration -> (list)

Provides information used to select Amazon Machine Images (AMIs) for EC2 instances in the compute environment. If Ec2Configuration isn’t specified, the default is ECS_AL2 .

One or two values can be provided.

Note

This parameter isn’t applicable to jobs that are running on Fargate resources, and shouldn’t be specified.

(structure)

Provides information used to select Amazon Machine Images (AMIs) for instances in the compute environment. If Ec2Configuration isn’t specified, the default is ECS_AL2 (Amazon Linux 2 ).

Note

This object isn’t applicable to jobs that are running on Fargate resources.

imageType -> (string)

The image type to match with the instance type to select an AMI. If the imageIdOverride parameter isn’t specified, then a recent Amazon ECS-optimized Amazon Linux 2 AMI (ECS_AL2 ) is used. If a new image type is specified in an update, but neither an imageId nor a imageIdOverride parameter is specified, then the latest Amazon ECS optimized AMI for that image type that’s supported by Batch is used.

ECS_AL2

Amazon Linux 2 − Default for all non-GPU instance families.

ECS_AL2_NVIDIA

Amazon Linux 2 (GPU) −Default for all GPU instance families (for example P4 and G4 ) and can be used for all non Amazon Web Services Graviton-based instance types.

ECS_AL1

Amazon Linux . Amazon Linux is reaching the end-of-life of standard support. For more information, see Amazon Linux AMI .

imageIdOverride -> (string)

The AMI ID used for instances launched in the compute environment that match the image type. This setting overrides the imageId set in the computeResource object.

Note

The AMI that you choose for a compute environment must match the architecture of the instance types that you intend to use for that compute environment. For example, if your compute environment uses A1 instance types, the compute resource AMI that you choose must support ARM instances. Amazon ECS vends both x86 and ARM versions of the Amazon ECS-optimized Amazon Linux 2 AMI. For more information, see Amazon ECS-optimized Amazon Linux 2 AMI in the Amazon Elastic Container Service Developer Guide .

Shorthand Syntax:

type=string,allocationStrategy=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},placementGroup=string,bidPercentage=integer,spotIamFleetRole=string,launchTemplate={launchTemplateId=string,launchTemplateName=string,version=string},ec2Configuration=[{imageType=string,imageIdOverride=string},{imageType=string,imageIdOverride=string}]

JSON Syntax:

{
  "type": "EC2"|"SPOT"|"FARGATE"|"FARGATE_SPOT",
  "allocationStrategy": "BEST_FIT"|"BEST_FIT_PROGRESSIVE"|"SPOT_CAPACITY_OPTIMIZED",
  "minvCpus": integer,
  "maxvCpus": integer,
  "desiredvCpus": integer,
  "instanceTypes": ["string", ...],
  "imageId": "string",
  "subnets": ["string", ...],
  "securityGroupIds": ["string", ...],
  "ec2KeyPair": "string",
  "instanceRole": "string",
  "tags": {"string": "string"
    ...},
  "placementGroup": "string",
  "bidPercentage": integer,
  "spotIamFleetRole": "string",
  "launchTemplate": {
    "launchTemplateId": "string",
    "launchTemplateName": "string",
    "version": "string"
  },
  "ec2Configuration": [
    {
      "imageType": "string",
      "imageIdOverride": "string"
    }
    ...
  ]
}

--service-role (string)

The full Amazon Resource Name (ARN) of the IAM role that allows Batch to make calls to other Amazon Web Services services on your behalf. For more information, see Batch service IAM role in the Batch User Guide .

Warning

If your account already created the Batch service-linked role, that role is used by default for your compute environment unless you specify a different role here. If the Batch service-linked role doesn’t exist in your account, and no role is specified here, the service attempts to create the 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 name bar has a path of /foo/ then you would 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 Batch service role, its ARN might contain the service-role path prefix. When you only specify the name of the service role, Batch assumes that your ARN doesn’t 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.

--tags (map)

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 Amazon Web Services Resources in Amazon Web Services 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.

key -> (string)

value -> (string)

Shorthand Syntax:

KeyName1=string,KeyName2=string

JSON Syntax:

{"string": "string"
  ...}

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those 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. This may not be specified along with --cli-input-yaml.

--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. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.

Global Options

--debug (boolean)

Turn on debug logging.

--endpoint-url (string)

Override command’s default URL with the given URL.

--no-verify-ssl (boolean)

By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.

--no-paginate (boolean)

Disable automatic pagination.

--output (string)

The formatting style for command output.

  • json

  • text

  • table

  • yaml

  • yaml-stream

--query (string)

A JMESPath query to use in filtering the response data.

--profile (string)

Use a specific profile from your credential file.

--region (string)

The region to use. Overrides config/env settings.

--version (string)

Display the version of this tool.

--color (string)

Turn on/off color output.

  • on

  • off

  • auto

--no-sign-request (boolean)

Do not sign requests. Credentials will not be loaded if this argument is provided.

--ca-bundle (string)

The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.

--cli-read-timeout (int)

The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.

--cli-connect-timeout (int)

The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.

--cli-binary-format (string)

The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob fileb:// will always be treated as binary and use the file contents directly regardless of the cli-binary-format setting. When using file:// the file contents will need to properly formatted for the configured cli-binary-format.

  • base64

  • raw-in-base64-out

--no-cli-pager (boolean)

Disable cli pager for output.

--cli-auto-prompt (boolean)

Automatically prompt for CLI input parameters.

--no-cli-auto-prompt (boolean)

Disable automatically prompt for CLI input parameters.

Examples

Note

To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.

Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal’s quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .

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. It can be up to 128 letters long. It can contain uppercase and lowercase letters, numbers, hyphens (-), and underscores (_).

computeEnvironmentArn -> (string)

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