[ aws . batch ]

describe-compute-environments

Description

Describes one or more of your compute environments.

If you’re using an unmanaged compute environment, you can use the DescribeComputeEnvironment operation to determine the ecsClusterArn that you should launch your Amazon ECS container instances into.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

describe-compute-environments is a paginated operation. Multiple API calls may be issued in order to retrieve the entire data set of results. You can disable pagination by providing the --no-paginate argument. When using --output text and the --query argument on a paginated response, the --query argument must extract data from the results of the following query expressions: computeEnvironments

Synopsis

  describe-compute-environments
[--compute-environments <value>]
[--cli-input-json | --cli-input-yaml]
[--starting-token <value>]
[--page-size <value>]
[--max-items <value>]
[--generate-cli-skeleton <value>]

Options

--compute-environments (list)

A list of up to 100 compute environment names or full Amazon Resource Name (ARN) entries.

(string)

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.

--starting-token (string)

A token to specify where to start paginating. This is the NextToken from a previously truncated response.

For usage examples, see Pagination in the AWS Command Line Interface User Guide .

--page-size (integer)

The size of each page to get in the AWS service call. This does not affect the number of items returned in the command’s output. Setting a smaller page size results in more calls to the AWS service, retrieving fewer items in each call. This can help prevent the AWS service calls from timing out.

For usage examples, see Pagination in the AWS Command Line Interface User Guide .

--max-items (integer)

The total number of items to return in the command’s output. If the total number of items available is more than the value specified, a NextToken is provided in the command’s output. To resume pagination, provide the NextToken value in the starting-token argument of a subsequent command. Do not use the NextToken response element directly outside of the AWS CLI.

For usage examples, see Pagination in the AWS Command Line Interface User Guide .

--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.

See ‘aws help’ for descriptions of global parameters.

Examples

To describe a compute environment

This example describes the P2OnDemand compute environment.

Command:

aws batch describe-compute-environments --compute-environments P2OnDemand

Output:

{
    "computeEnvironments": [
        {
            "status": "VALID",
            "serviceRole": "arn:aws:iam::012345678910:role/AWSBatchServiceRole",
            "computeEnvironmentArn": "arn:aws:batch:us-east-1:012345678910:compute-environment/P2OnDemand",
            "computeResources": {
                "subnets": [
                    "subnet-220c0e0a",
                    "subnet-1a95556d",
                    "subnet-978f6dce"
                ],
                "tags": {
                    "Name": "Batch Instance - P2OnDemand"
                },
                "desiredvCpus": 48,
                "minvCpus": 0,
                "instanceTypes": [
                    "p2"
                ],
                "securityGroupIds": [
                    "sg-cf5093b2"
                ],
                "instanceRole": "ecsInstanceRole",
                "maxvCpus": 128,
                "type": "EC2",
                "ec2KeyPair": "id_rsa"
            },
            "statusReason": "ComputeEnvironment Healthy",
            "ecsClusterArn": "arn:aws:ecs:us-east-1:012345678910:cluster/P2OnDemand_Batch_2c06f29d-d1fe-3a49-879d-42394c86effc",
            "state": "ENABLED",
            "computeEnvironmentName": "P2OnDemand",
            "type": "MANAGED"
        }
    ]
}

Output

computeEnvironments -> (list)

The list of compute environments.

(structure)

An object representing an AWS Batch compute environment.

computeEnvironmentName -> (string)

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

computeEnvironmentArn -> (string)

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

ecsClusterArn -> (string)

The Amazon Resource Name (ARN) of the underlying Amazon ECS cluster used by the compute environment.

tags -> (map)

The tags applied to the compute environment.

key -> (string)

value -> (string)

type -> (string)

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

state -> (string)

The state of the compute environment. The valid values are ENABLED or DISABLED .

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 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.

status -> (string)

The current status of the compute environment (for example, CREATING or VALID ).

statusReason -> (string)

A short, human-readable string to provide additional details about the current status of the compute environment.

computeResources -> (structure)

The compute resources defined for the compute environment. For more information, see Compute Environments in the AWS Batch User Guide .

type -> (string)

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

Note

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

BEST_FIT (default)

AWS 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, AWS Batch will wait for the additional instances to be available. If there are not enough instances available, or if the user is hitting Amazon EC2 service limits then additional jobs aren’t run until 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.

BEST_FIT_PROGRESSIVE

AWS 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, AWS Batch will select new instance types.

SPOT_CAPACITY_OPTIMIZED

AWS 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, AWS Batch might need to go above maxvCpus to meet your capacity requirements. In this event, AWS 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 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, AWS Batch might need to go above maxvCpus to meet your capacity requirements. In this event, AWS Batch will never go above maxvCpus by more than a single instance (e.g., no more than a single instance from among those specified in your compute environment).

desiredvCpus -> (integer)

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

Note

This parameter isn’t applicable to jobs 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) on the fly that match the demand of your job queues.

Note

This parameter isn’t applicable to jobs 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 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 into which the compute resources are launched. These subnets must be within the same VPC. This parameter is required for jobs running on Fargate resources, where it 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 running on Fargate resources and must contain at least one security group. (Fargate does not support launch templates.) If security groups are specified using both securityGroupIds and launchTemplate , the values in securityGroupIds will be 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 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 AWS Batch User Guide .

Note

This parameter isn’t applicable to jobs 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 AWS Batch, these take the form of “String1”: “String2”, where String1 is the tag key and String2 is the tag value−for example, { “Name”: “AWS Batch Instance - C4OnDemand” }. This is helpful for recognizing your AWS Batch instances in the Amazon EC2 console. These tags can’t be updated or removed after the compute environment has been created; any changes require creating a new compute environment and removing the old compute environment. These tags are not seen when using the AWS Batch ListTagsForResource API operation.

Note

This parameter isn’t applicable to jobs 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 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 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 AWS Batch User Guide .

Note

This parameter isn’t applicable to jobs 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 AWS 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 AWS Batch User Guide .

Note

This parameter isn’t applicable to jobs 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.

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_AL1 .

Note

This parameter isn’t applicable to jobs 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 the Ec2Configuration isn’t specified, the default is ECS_AL1 .

Note

This object isn’t applicable to jobs 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 AMI is used.

ECS_AL2

Amazon Linux 2 − Default for all AWS Graviton-based instance families (for example, C6g , M6g , R6g , and T4g ) and can be used for all non-GPU instance types.

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-AWS Graviton-based instance types.

ECS_AL1

Amazon Linux −Default for all non-GPU, non-AWS Graviton instance families. 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.

serviceRole -> (string)

The service role associated with the compute environment that allows AWS Batch to make calls to AWS API operations on your behalf. For more information, see AWS Batch service IAM role in the AWS Batch User Guide .

nextToken -> (string)

The nextToken value to include in a future DescribeComputeEnvironments request. When the results of a DescribeJobDefinitions request exceed maxResults , this value can be used to retrieve the next page of results. This value is null when there are no more results to return.