ExportAutoScalingGroupRecommendations - AWS Compute Optimizer

ExportAutoScalingGroupRecommendations

Exports optimization recommendations for Auto Scaling groups.

Recommendations are exported in a comma-separated values (.csv) file, and its metadata in a JavaScript Object Notation (.json) file, to an existing Amazon Simple Storage Service (Amazon S3) bucket that you specify. For more information, see Exporting Recommendations in the Compute Optimizer User Guide.

You can have only one Auto Scaling group export job in progress per AWS Region.

Request Syntax

{ "accountIds": [ "string" ], "fieldsToExport": [ "string" ], "fileFormat": "string", "filters": [ { "name": "string", "values": [ "string" ] } ], "includeMemberAccounts": boolean, "s3DestinationConfig": { "bucket": "string", "keyPrefix": "string" } }

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.

accountIds

The IDs of the AWS accounts for which to export Auto Scaling group recommendations.

If your account is the master account of an organization, use this parameter to specify the member accounts for which you want to export recommendations.

This parameter cannot be specified together with the include member accounts parameter. The parameters are mutually exclusive.

Recommendations for member accounts are not included in the export if this parameter, or the include member accounts parameter, is omitted.

You can specify multiple account IDs per request.

Type: Array of strings

Required: No

fieldsToExport

The recommendations data to include in the export file.

Type: Array of strings

Valid Values: AccountId | AutoScalingGroupArn | AutoScalingGroupName | Finding | UtilizationMetricsCpuMaximum | UtilizationMetricsMemoryMaximum | LookbackPeriodInDays | CurrentConfigurationInstanceType | CurrentConfigurationDesiredCapacity | CurrentConfigurationMinSize | CurrentConfigurationMaxSize | CurrentOnDemandPrice | CurrentStandardOneYearNoUpfrontReservedPrice | CurrentStandardThreeYearNoUpfrontReservedPrice | CurrentVCpus | CurrentMemory | CurrentStorage | CurrentNetwork | RecommendationOptionsConfigurationInstanceType | RecommendationOptionsConfigurationDesiredCapacity | RecommendationOptionsConfigurationMinSize | RecommendationOptionsConfigurationMaxSize | RecommendationOptionsProjectedUtilizationMetricsCpuMaximum | RecommendationOptionsProjectedUtilizationMetricsMemoryMaximum | RecommendationOptionsPerformanceRisk | RecommendationOptionsOnDemandPrice | RecommendationOptionsStandardOneYearNoUpfrontReservedPrice | RecommendationOptionsStandardThreeYearNoUpfrontReservedPrice | RecommendationOptionsVcpus | RecommendationOptionsMemory | RecommendationOptionsStorage | RecommendationOptionsNetwork | LastRefreshTimestamp

Required: No

fileFormat

The format of the export file.

The only export file format currently supported is Csv.

Type: String

Valid Values: Csv

Required: No

filters

An array of objects that describe a filter to export a more specific set of Auto Scaling group recommendations.

Type: Array of Filter objects

Required: No

includeMemberAccounts

Indicates whether to include recommendations for resources in all member accounts of the organization if your account is the master account of an organization.

The member accounts must also be opted in to Compute Optimizer.

Recommendations for member accounts of the organization are not included in the export file if this parameter is omitted.

This parameter cannot be specified together with the account IDs parameter. The parameters are mutually exclusive.

Recommendations for member accounts are not included in the export if this parameter, or the account IDs parameter, is omitted.

Type: Boolean

Required: No

s3DestinationConfig

An object to specify the destination Amazon Simple Storage Service (Amazon S3) bucket name and key prefix for the export job.

You must create the destination Amazon S3 bucket for your recommendations export before you create the export job. Compute Optimizer does not create the S3 bucket for you. After you create the S3 bucket, ensure that it has the required permission policy to allow Compute Optimizer to write the export file to it. If you plan to specify an object prefix when you create the export job, you must include the object prefix in the policy that you add to the S3 bucket. For more information, see Amazon S3 Bucket Policy for Compute Optimizer in the Compute Optimizer user guide.

Type: S3DestinationConfig object

Required: Yes

Response Syntax

{ "jobId": "string", "s3Destination": { "bucket": "string", "key": "string", "metadataKey": "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.

jobId

The identification number of the export job.

Use the DescribeRecommendationExportJobs action, and specify the job ID to view the status of an export job.

Type: String

s3Destination

An object that describes the destination Amazon S3 bucket of a recommendations export file.

Type: S3Destination object

Errors

For information about the errors that are common to all actions, see Common Errors.

AccessDeniedException

You do not have sufficient access to perform this action.

HTTP Status Code: 400

InternalServerException

An internal error has occurred. Try your call again.

HTTP Status Code: 500

InvalidParameterValueException

An invalid or out-of-range value was supplied for the input parameter.

HTTP Status Code: 400

LimitExceededException

The request exceeds a limit of the service.

HTTP Status Code: 400

MissingAuthenticationToken

The request must contain either a valid (registered) AWS access key ID or X.509 certificate.

HTTP Status Code: 400

OptInRequiredException

The account is not opted in to AWS Compute Optimizer.

HTTP Status Code: 400

ServiceUnavailableException

The request has failed due to a temporary failure of the server.

HTTP Status Code: 500

ThrottlingException

The request was denied due to request throttling.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: