Da utilizzare con un CreateComputeEnvironment AWS SDK o CLI

Per creare un ambiente di elaborazione gestito con istanze On-Demand

Questo esempio crea un ambiente di calcolo gestito con istanze di tipo C4 specifiche che vengono avviate on demand. Viene chiamato l'ambiente di calcolo. C4OnDemand

Comando:

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

Formato del file JSON:

{
  "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"
}

Come creare un ambiente di calcolo gestito con istanze spot

Questo esempio crea un ambiente di calcolo gestito con il tipo di istanza M4 che viene lanciato quando il prezzo dell'offerta Spot è pari o inferiore al 20% del On-Demand prezzo del tipo di istanza. L’ambiente di calcolo è denominato M4Spot.

Comando:

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

Formato del file JSON:

{
  "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"
}

    /**
     * Asynchronously creates a new compute environment in AWS Batch.
     *
     * @param computeEnvironmentName the name of the compute environment to create
     * @param batchIAMRole the IAM role to be used by the compute environment
     * @param subnet the subnet ID to be used for the compute environment
     * @param secGroup the security group ID to be used for the compute environment
     * @return a {@link CompletableFuture} representing the asynchronous operation, which will complete with the
     *         {@link CreateComputeEnvironmentResponse} when the compute environment has been created
     * @throws BatchException if there is an error creating the compute environment
     * @throws RuntimeException if there is an unexpected error during the operation
     */
    public CompletableFuture<CreateComputeEnvironmentResponse> createComputeEnvironmentAsync(
        String computeEnvironmentName, String batchIAMRole, String subnet, String secGroup) {
        CreateComputeEnvironmentRequest environmentRequest = CreateComputeEnvironmentRequest.builder()
            .computeEnvironmentName(computeEnvironmentName)
            .type(CEType.MANAGED)
            .state(CEState.ENABLED)
            .computeResources(ComputeResource.builder()
                .type(CRType.FARGATE)
                .maxvCpus(256)
                .subnets(Collections.singletonList(subnet))
                .securityGroupIds(Collections.singletonList(secGroup))
                .build())
            .serviceRole(batchIAMRole)
            .build();

        CompletableFuture<CreateComputeEnvironmentResponse> response = getAsyncClient().createComputeEnvironment(environmentRequest);
        response.whenComplete((resp, ex) -> {
            if (ex != null) {
               String errorMessage = "Unexpected error occurred: " + ex.getMessage();
               throw new RuntimeException(errorMessage, ex);
            }
        });

        return response;
    }