open-next-cdk/node_modules/aws-sdk/clients/computeoptimizer.d.ts

Deploy a NextJS app using OpenNext packaging to serverless AWS using CDK

import {Request} from '../lib/request';
import {Response} from '../lib/response';
import {AWSError} from '../lib/error';
import {Service} from '../lib/service';
import {ServiceConfigurationOptions} from '../lib/service';
import {ConfigBase as Config} from '../lib/config-base';
interface Blob {}
declare class ComputeOptimizer extends Service {
  /**
   * Constructs a service object. This object has one method for each API operation.
   */
  constructor(options?: ComputeOptimizer.Types.ClientConfiguration)
  config: Config & ComputeOptimizer.Types.ClientConfiguration;
  /**
   * Deletes a recommendation preference, such as enhanced infrastructure metrics. For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide.
   */
  deleteRecommendationPreferences(params: ComputeOptimizer.Types.DeleteRecommendationPreferencesRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.DeleteRecommendationPreferencesResponse) => void): Request<ComputeOptimizer.Types.DeleteRecommendationPreferencesResponse, AWSError>;
  /**
   * Deletes a recommendation preference, such as enhanced infrastructure metrics. For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide.
   */
  deleteRecommendationPreferences(callback?: (err: AWSError, data: ComputeOptimizer.Types.DeleteRecommendationPreferencesResponse) => void): Request<ComputeOptimizer.Types.DeleteRecommendationPreferencesResponse, AWSError>;
  /**
   * Describes recommendation export jobs created in the last seven days. Use the ExportAutoScalingGroupRecommendations or ExportEC2InstanceRecommendations actions to request an export of your recommendations. Then use the DescribeRecommendationExportJobs action to view your export jobs.
   */
  describeRecommendationExportJobs(params: ComputeOptimizer.Types.DescribeRecommendationExportJobsRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.DescribeRecommendationExportJobsResponse) => void): Request<ComputeOptimizer.Types.DescribeRecommendationExportJobsResponse, AWSError>;
  /**
   * Describes recommendation export jobs created in the last seven days. Use the ExportAutoScalingGroupRecommendations or ExportEC2InstanceRecommendations actions to request an export of your recommendations. Then use the DescribeRecommendationExportJobs action to view your export jobs.
   */
  describeRecommendationExportJobs(callback?: (err: AWSError, data: ComputeOptimizer.Types.DescribeRecommendationExportJobsResponse) => void): Request<ComputeOptimizer.Types.DescribeRecommendationExportJobsResponse, AWSError>;
  /**
   * 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) (.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 Amazon Web Services Region.
   */
  exportAutoScalingGroupRecommendations(params: ComputeOptimizer.Types.ExportAutoScalingGroupRecommendationsRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.ExportAutoScalingGroupRecommendationsResponse) => void): Request<ComputeOptimizer.Types.ExportAutoScalingGroupRecommendationsResponse, AWSError>;
  /**
   * 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) (.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 Amazon Web Services Region.
   */
  exportAutoScalingGroupRecommendations(callback?: (err: AWSError, data: ComputeOptimizer.Types.ExportAutoScalingGroupRecommendationsResponse) => void): Request<ComputeOptimizer.Types.ExportAutoScalingGroupRecommendationsResponse, AWSError>;
  /**
   * Exports optimization recommendations for Amazon EBS volumes. Recommendations are exported in a comma-separated values (.csv) file, and its metadata in a JavaScript Object Notation (JSON) (.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 Amazon EBS volume export job in progress per Amazon Web Services Region.
   */
  exportEBSVolumeRecommendations(params: ComputeOptimizer.Types.ExportEBSVolumeRecommendationsRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.ExportEBSVolumeRecommendationsResponse) => void): Request<ComputeOptimizer.Types.ExportEBSVolumeRecommendationsResponse, AWSError>;
  /**
   * Exports optimization recommendations for Amazon EBS volumes. Recommendations are exported in a comma-separated values (.csv) file, and its metadata in a JavaScript Object Notation (JSON) (.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 Amazon EBS volume export job in progress per Amazon Web Services Region.
   */
  exportEBSVolumeRecommendations(callback?: (err: AWSError, data: ComputeOptimizer.Types.ExportEBSVolumeRecommendationsResponse) => void): Request<ComputeOptimizer.Types.ExportEBSVolumeRecommendationsResponse, AWSError>;
  /**
   * Exports optimization recommendations for Amazon EC2 instances. Recommendations are exported in a comma-separated values (.csv) file, and its metadata in a JavaScript Object Notation (JSON) (.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 Amazon EC2 instance export job in progress per Amazon Web Services Region.
   */
  exportEC2InstanceRecommendations(params: ComputeOptimizer.Types.ExportEC2InstanceRecommendationsRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.ExportEC2InstanceRecommendationsResponse) => void): Request<ComputeOptimizer.Types.ExportEC2InstanceRecommendationsResponse, AWSError>;
  /**
   * Exports optimization recommendations for Amazon EC2 instances. Recommendations are exported in a comma-separated values (.csv) file, and its metadata in a JavaScript Object Notation (JSON) (.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 Amazon EC2 instance export job in progress per Amazon Web Services Region.
   */
  exportEC2InstanceRecommendations(callback?: (err: AWSError, data: ComputeOptimizer.Types.ExportEC2InstanceRecommendationsResponse) => void): Request<ComputeOptimizer.Types.ExportEC2InstanceRecommendationsResponse, AWSError>;
  /**
   *  Exports optimization recommendations for Amazon ECS services on Fargate.  Recommendations are exported in a CSV file, and its metadata in a 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 only have one Amazon ECS service export job in progress per Amazon Web Services Region.
   */
  exportECSServiceRecommendations(params: ComputeOptimizer.Types.ExportECSServiceRecommendationsRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.ExportECSServiceRecommendationsResponse) => void): Request<ComputeOptimizer.Types.ExportECSServiceRecommendationsResponse, AWSError>;
  /**
   *  Exports optimization recommendations for Amazon ECS services on Fargate.  Recommendations are exported in a CSV file, and its metadata in a 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 only have one Amazon ECS service export job in progress per Amazon Web Services Region.
   */
  exportECSServiceRecommendations(callback?: (err: AWSError, data: ComputeOptimizer.Types.ExportECSServiceRecommendationsResponse) => void): Request<ComputeOptimizer.Types.ExportECSServiceRecommendationsResponse, AWSError>;
  /**
   * Exports optimization recommendations for Lambda functions. Recommendations are exported in a comma-separated values (.csv) file, and its metadata in a JavaScript Object Notation (JSON) (.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 Lambda function export job in progress per Amazon Web Services Region.
   */
  exportLambdaFunctionRecommendations(params: ComputeOptimizer.Types.ExportLambdaFunctionRecommendationsRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.ExportLambdaFunctionRecommendationsResponse) => void): Request<ComputeOptimizer.Types.ExportLambdaFunctionRecommendationsResponse, AWSError>;
  /**
   * Exports optimization recommendations for Lambda functions. Recommendations are exported in a comma-separated values (.csv) file, and its metadata in a JavaScript Object Notation (JSON) (.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 Lambda function export job in progress per Amazon Web Services Region.
   */
  exportLambdaFunctionRecommendations(callback?: (err: AWSError, data: ComputeOptimizer.Types.ExportLambdaFunctionRecommendationsResponse) => void): Request<ComputeOptimizer.Types.ExportLambdaFunctionRecommendationsResponse, AWSError>;
  /**
   *  Export optimization recommendations for your licenses.  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 license export job in progress per Amazon Web Services Region.
   */
  exportLicenseRecommendations(params: ComputeOptimizer.Types.ExportLicenseRecommendationsRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.ExportLicenseRecommendationsResponse) => void): Request<ComputeOptimizer.Types.ExportLicenseRecommendationsResponse, AWSError>;
  /**
   *  Export optimization recommendations for your licenses.  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 license export job in progress per Amazon Web Services Region.
   */
  exportLicenseRecommendations(callback?: (err: AWSError, data: ComputeOptimizer.Types.ExportLicenseRecommendationsResponse) => void): Request<ComputeOptimizer.Types.ExportLicenseRecommendationsResponse, AWSError>;
  /**
   * Returns Auto Scaling group recommendations. Compute Optimizer generates recommendations for Amazon EC2 Auto Scaling groups that meet a specific set of requirements. For more information, see the Supported resources and requirements in the Compute Optimizer User Guide.
   */
  getAutoScalingGroupRecommendations(params: ComputeOptimizer.Types.GetAutoScalingGroupRecommendationsRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.GetAutoScalingGroupRecommendationsResponse) => void): Request<ComputeOptimizer.Types.GetAutoScalingGroupRecommendationsResponse, AWSError>;
  /**
   * Returns Auto Scaling group recommendations. Compute Optimizer generates recommendations for Amazon EC2 Auto Scaling groups that meet a specific set of requirements. For more information, see the Supported resources and requirements in the Compute Optimizer User Guide.
   */
  getAutoScalingGroupRecommendations(callback?: (err: AWSError, data: ComputeOptimizer.Types.GetAutoScalingGroupRecommendationsResponse) => void): Request<ComputeOptimizer.Types.GetAutoScalingGroupRecommendationsResponse, AWSError>;
  /**
   * Returns Amazon Elastic Block Store (Amazon EBS) volume recommendations. Compute Optimizer generates recommendations for Amazon EBS volumes that meet a specific set of requirements. For more information, see the Supported resources and requirements in the Compute Optimizer User Guide.
   */
  getEBSVolumeRecommendations(params: ComputeOptimizer.Types.GetEBSVolumeRecommendationsRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.GetEBSVolumeRecommendationsResponse) => void): Request<ComputeOptimizer.Types.GetEBSVolumeRecommendationsResponse, AWSError>;
  /**
   * Returns Amazon Elastic Block Store (Amazon EBS) volume recommendations. Compute Optimizer generates recommendations for Amazon EBS volumes that meet a specific set of requirements. For more information, see the Supported resources and requirements in the Compute Optimizer User Guide.
   */
  getEBSVolumeRecommendations(callback?: (err: AWSError, data: ComputeOptimizer.Types.GetEBSVolumeRecommendationsResponse) => void): Request<ComputeOptimizer.Types.GetEBSVolumeRecommendationsResponse, AWSError>;
  /**
   * Returns Amazon EC2 instance recommendations. Compute Optimizer generates recommendations for Amazon Elastic Compute Cloud (Amazon EC2) instances that meet a specific set of requirements. For more information, see the Supported resources and requirements in the Compute Optimizer User Guide.
   */
  getEC2InstanceRecommendations(params: ComputeOptimizer.Types.GetEC2InstanceRecommendationsRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.GetEC2InstanceRecommendationsResponse) => void): Request<ComputeOptimizer.Types.GetEC2InstanceRecommendationsResponse, AWSError>;
  /**
   * Returns Amazon EC2 instance recommendations. Compute Optimizer generates recommendations for Amazon Elastic Compute Cloud (Amazon EC2) instances that meet a specific set of requirements. For more information, see the Supported resources and requirements in the Compute Optimizer User Guide.
   */
  getEC2InstanceRecommendations(callback?: (err: AWSError, data: ComputeOptimizer.Types.GetEC2InstanceRecommendationsResponse) => void): Request<ComputeOptimizer.Types.GetEC2InstanceRecommendationsResponse, AWSError>;
  /**
   * Returns the projected utilization metrics of Amazon EC2 instance recommendations.  The Cpu and Memory metrics are the only projected utilization metrics returned when you run this action. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent. 
   */
  getEC2RecommendationProjectedMetrics(params: ComputeOptimizer.Types.GetEC2RecommendationProjectedMetricsRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.GetEC2RecommendationProjectedMetricsResponse) => void): Request<ComputeOptimizer.Types.GetEC2RecommendationProjectedMetricsResponse, AWSError>;
  /**
   * Returns the projected utilization metrics of Amazon EC2 instance recommendations.  The Cpu and Memory metrics are the only projected utilization metrics returned when you run this action. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent. 
   */
  getEC2RecommendationProjectedMetrics(callback?: (err: AWSError, data: ComputeOptimizer.Types.GetEC2RecommendationProjectedMetricsResponse) => void): Request<ComputeOptimizer.Types.GetEC2RecommendationProjectedMetricsResponse, AWSError>;
  /**
   *  Returns the projected metrics of Amazon ECS service recommendations. 
   */
  getECSServiceRecommendationProjectedMetrics(params: ComputeOptimizer.Types.GetECSServiceRecommendationProjectedMetricsRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.GetECSServiceRecommendationProjectedMetricsResponse) => void): Request<ComputeOptimizer.Types.GetECSServiceRecommendationProjectedMetricsResponse, AWSError>;
  /**
   *  Returns the projected metrics of Amazon ECS service recommendations. 
   */
  getECSServiceRecommendationProjectedMetrics(callback?: (err: AWSError, data: ComputeOptimizer.Types.GetECSServiceRecommendationProjectedMetricsResponse) => void): Request<ComputeOptimizer.Types.GetECSServiceRecommendationProjectedMetricsResponse, AWSError>;
  /**
   *  Returns Amazon ECS service recommendations.   Compute Optimizer generates recommendations for Amazon ECS services on Fargate that meet a specific set of requirements. For more information, see the Supported resources and requirements in the Compute Optimizer User Guide. 
   */
  getECSServiceRecommendations(params: ComputeOptimizer.Types.GetECSServiceRecommendationsRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.GetECSServiceRecommendationsResponse) => void): Request<ComputeOptimizer.Types.GetECSServiceRecommendationsResponse, AWSError>;
  /**
   *  Returns Amazon ECS service recommendations.   Compute Optimizer generates recommendations for Amazon ECS services on Fargate that meet a specific set of requirements. For more information, see the Supported resources and requirements in the Compute Optimizer User Guide. 
   */
  getECSServiceRecommendations(callback?: (err: AWSError, data: ComputeOptimizer.Types.GetECSServiceRecommendationsResponse) => void): Request<ComputeOptimizer.Types.GetECSServiceRecommendationsResponse, AWSError>;
  /**
   * Returns the recommendation preferences that are in effect for a given resource, such as enhanced infrastructure metrics. Considers all applicable preferences that you might have set at the resource, account, and organization level. When you create a recommendation preference, you can set its status to Active or Inactive. Use this action to view the recommendation preferences that are in effect, or Active.
   */
  getEffectiveRecommendationPreferences(params: ComputeOptimizer.Types.GetEffectiveRecommendationPreferencesRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.GetEffectiveRecommendationPreferencesResponse) => void): Request<ComputeOptimizer.Types.GetEffectiveRecommendationPreferencesResponse, AWSError>;
  /**
   * Returns the recommendation preferences that are in effect for a given resource, such as enhanced infrastructure metrics. Considers all applicable preferences that you might have set at the resource, account, and organization level. When you create a recommendation preference, you can set its status to Active or Inactive. Use this action to view the recommendation preferences that are in effect, or Active.
   */
  getEffectiveRecommendationPreferences(callback?: (err: AWSError, data: ComputeOptimizer.Types.GetEffectiveRecommendationPreferencesResponse) => void): Request<ComputeOptimizer.Types.GetEffectiveRecommendationPreferencesResponse, AWSError>;
  /**
   * Returns the enrollment (opt in) status of an account to the Compute Optimizer service. If the account is the management account of an organization, this action also confirms the enrollment status of member accounts of the organization. Use the GetEnrollmentStatusesForOrganization action to get detailed information about the enrollment status of member accounts of an organization.
   */
  getEnrollmentStatus(params: ComputeOptimizer.Types.GetEnrollmentStatusRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.GetEnrollmentStatusResponse) => void): Request<ComputeOptimizer.Types.GetEnrollmentStatusResponse, AWSError>;
  /**
   * Returns the enrollment (opt in) status of an account to the Compute Optimizer service. If the account is the management account of an organization, this action also confirms the enrollment status of member accounts of the organization. Use the GetEnrollmentStatusesForOrganization action to get detailed information about the enrollment status of member accounts of an organization.
   */
  getEnrollmentStatus(callback?: (err: AWSError, data: ComputeOptimizer.Types.GetEnrollmentStatusResponse) => void): Request<ComputeOptimizer.Types.GetEnrollmentStatusResponse, AWSError>;
  /**
   * Returns the Compute Optimizer enrollment (opt-in) status of organization member accounts, if your account is an organization management account. To get the enrollment status of standalone accounts, use the GetEnrollmentStatus action.
   */
  getEnrollmentStatusesForOrganization(params: ComputeOptimizer.Types.GetEnrollmentStatusesForOrganizationRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.GetEnrollmentStatusesForOrganizationResponse) => void): Request<ComputeOptimizer.Types.GetEnrollmentStatusesForOrganizationResponse, AWSError>;
  /**
   * Returns the Compute Optimizer enrollment (opt-in) status of organization member accounts, if your account is an organization management account. To get the enrollment status of standalone accounts, use the GetEnrollmentStatus action.
   */
  getEnrollmentStatusesForOrganization(callback?: (err: AWSError, data: ComputeOptimizer.Types.GetEnrollmentStatusesForOrganizationResponse) => void): Request<ComputeOptimizer.Types.GetEnrollmentStatusesForOrganizationResponse, AWSError>;
  /**
   * Returns Lambda function recommendations. Compute Optimizer generates recommendations for functions that meet a specific set of requirements. For more information, see the Supported resources and requirements in the Compute Optimizer User Guide.
   */
  getLambdaFunctionRecommendations(params: ComputeOptimizer.Types.GetLambdaFunctionRecommendationsRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.GetLambdaFunctionRecommendationsResponse) => void): Request<ComputeOptimizer.Types.GetLambdaFunctionRecommendationsResponse, AWSError>;
  /**
   * Returns Lambda function recommendations. Compute Optimizer generates recommendations for functions that meet a specific set of requirements. For more information, see the Supported resources and requirements in the Compute Optimizer User Guide.
   */
  getLambdaFunctionRecommendations(callback?: (err: AWSError, data: ComputeOptimizer.Types.GetLambdaFunctionRecommendationsResponse) => void): Request<ComputeOptimizer.Types.GetLambdaFunctionRecommendationsResponse, AWSError>;
  /**
   * Returns license recommendations for Amazon EC2 instances that run on a specific license. Compute Optimizer generates recommendations for licenses that meet a specific set of requirements. For more information, see the Supported resources and requirements in the Compute Optimizer User Guide.
   */
  getLicenseRecommendations(params: ComputeOptimizer.Types.GetLicenseRecommendationsRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.GetLicenseRecommendationsResponse) => void): Request<ComputeOptimizer.Types.GetLicenseRecommendationsResponse, AWSError>;
  /**
   * Returns license recommendations for Amazon EC2 instances that run on a specific license. Compute Optimizer generates recommendations for licenses that meet a specific set of requirements. For more information, see the Supported resources and requirements in the Compute Optimizer User Guide.
   */
  getLicenseRecommendations(callback?: (err: AWSError, data: ComputeOptimizer.Types.GetLicenseRecommendationsResponse) => void): Request<ComputeOptimizer.Types.GetLicenseRecommendationsResponse, AWSError>;
  /**
   * Returns existing recommendation preferences, such as enhanced infrastructure metrics. Use the scope parameter to specify which preferences to return. You can specify to return preferences for an organization, a specific account ID, or a specific EC2 instance or Auto Scaling group Amazon Resource Name (ARN). For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide.
   */
  getRecommendationPreferences(params: ComputeOptimizer.Types.GetRecommendationPreferencesRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.GetRecommendationPreferencesResponse) => void): Request<ComputeOptimizer.Types.GetRecommendationPreferencesResponse, AWSError>;
  /**
   * Returns existing recommendation preferences, such as enhanced infrastructure metrics. Use the scope parameter to specify which preferences to return. You can specify to return preferences for an organization, a specific account ID, or a specific EC2 instance or Auto Scaling group Amazon Resource Name (ARN). For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide.
   */
  getRecommendationPreferences(callback?: (err: AWSError, data: ComputeOptimizer.Types.GetRecommendationPreferencesResponse) => void): Request<ComputeOptimizer.Types.GetRecommendationPreferencesResponse, AWSError>;
  /**
   * Returns the optimization findings for an account. It returns the number of:   Amazon EC2 instances in an account that are Underprovisioned, Overprovisioned, or Optimized.   Auto Scaling groups in an account that are NotOptimized, or Optimized.   Amazon EBS volumes in an account that are NotOptimized, or Optimized.   Lambda functions in an account that are NotOptimized, or Optimized.   Amazon ECS services in an account that are Underprovisioned, Overprovisioned, or Optimized.  
   */
  getRecommendationSummaries(params: ComputeOptimizer.Types.GetRecommendationSummariesRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.GetRecommendationSummariesResponse) => void): Request<ComputeOptimizer.Types.GetRecommendationSummariesResponse, AWSError>;
  /**
   * Returns the optimization findings for an account. It returns the number of:   Amazon EC2 instances in an account that are Underprovisioned, Overprovisioned, or Optimized.   Auto Scaling groups in an account that are NotOptimized, or Optimized.   Amazon EBS volumes in an account that are NotOptimized, or Optimized.   Lambda functions in an account that are NotOptimized, or Optimized.   Amazon ECS services in an account that are Underprovisioned, Overprovisioned, or Optimized.  
   */
  getRecommendationSummaries(callback?: (err: AWSError, data: ComputeOptimizer.Types.GetRecommendationSummariesResponse) => void): Request<ComputeOptimizer.Types.GetRecommendationSummariesResponse, AWSError>;
  /**
   * Creates a new recommendation preference or updates an existing recommendation preference, such as enhanced infrastructure metrics. For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide.
   */
  putRecommendationPreferences(params: ComputeOptimizer.Types.PutRecommendationPreferencesRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.PutRecommendationPreferencesResponse) => void): Request<ComputeOptimizer.Types.PutRecommendationPreferencesResponse, AWSError>;
  /**
   * Creates a new recommendation preference or updates an existing recommendation preference, such as enhanced infrastructure metrics. For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide.
   */
  putRecommendationPreferences(callback?: (err: AWSError, data: ComputeOptimizer.Types.PutRecommendationPreferencesResponse) => void): Request<ComputeOptimizer.Types.PutRecommendationPreferencesResponse, AWSError>;
  /**
   * Updates the enrollment (opt in and opt out) status of an account to the Compute Optimizer service. If the account is a management account of an organization, this action can also be used to enroll member accounts of the organization. You must have the appropriate permissions to opt in to Compute Optimizer, to view its recommendations, and to opt out. For more information, see Controlling access with Amazon Web Services Identity and Access Management in the Compute Optimizer User Guide. When you opt in, Compute Optimizer automatically creates a service-linked role in your account to access its data. For more information, see Using Service-Linked Roles for Compute Optimizer in the Compute Optimizer User Guide.
   */
  updateEnrollmentStatus(params: ComputeOptimizer.Types.UpdateEnrollmentStatusRequest, callback?: (err: AWSError, data: ComputeOptimizer.Types.UpdateEnrollmentStatusResponse) => void): Request<ComputeOptimizer.Types.UpdateEnrollmentStatusResponse, AWSError>;
  /**
   * Updates the enrollment (opt in and opt out) status of an account to the Compute Optimizer service. If the account is a management account of an organization, this action can also be used to enroll member accounts of the organization. You must have the appropriate permissions to opt in to Compute Optimizer, to view its recommendations, and to opt out. For more information, see Controlling access with Amazon Web Services Identity and Access Management in the Compute Optimizer User Guide. When you opt in, Compute Optimizer automatically creates a service-linked role in your account to access its data. For more information, see Using Service-Linked Roles for Compute Optimizer in the Compute Optimizer User Guide.
   */
  updateEnrollmentStatus(callback?: (err: AWSError, data: ComputeOptimizer.Types.UpdateEnrollmentStatusResponse) => void): Request<ComputeOptimizer.Types.UpdateEnrollmentStatusResponse, AWSError>;
}
declare namespace ComputeOptimizer {
  export interface AccountEnrollmentStatus {
    /**
     * The Amazon Web Services account ID.
     */
    accountId?: AccountId;
    /**
     * The account enrollment status.
     */
    status?: Status;
    /**
     * The reason for the account enrollment status. For example, an account might show a status of Pending because member accounts of an organization require more time to be enrolled in the service.
     */
    statusReason?: StatusReason;
    /**
     * The Unix epoch timestamp, in seconds, of when the account enrollment status was last updated.
     */
    lastUpdatedTimestamp?: LastUpdatedTimestamp;
  }
  export type AccountEnrollmentStatuses = AccountEnrollmentStatus[];
  export type AccountId = string;
  export type AccountIds = AccountId[];
  export type AutoScalingConfiguration = "TargetTrackingScalingCpu"|"TargetTrackingScalingMemory"|string;
  export type AutoScalingGroupArn = string;
  export type AutoScalingGroupArns = AutoScalingGroupArn[];
  export interface AutoScalingGroupConfiguration {
    /**
     * The desired capacity, or number of instances, for the Auto Scaling group.
     */
    desiredCapacity?: DesiredCapacity;
    /**
     * The minimum size, or minimum number of instances, for the Auto Scaling group.
     */
    minSize?: MinSize;
    /**
     * The maximum size, or maximum number of instances, for the Auto Scaling group.
     */
    maxSize?: MaxSize;
    /**
     * The instance type for the Auto Scaling group.
     */
    instanceType?: InstanceType;
  }
  export type AutoScalingGroupName = string;
  export interface AutoScalingGroupRecommendation {
    /**
     * The Amazon Web Services account ID of the Auto Scaling group.
     */
    accountId?: AccountId;
    /**
     * The Amazon Resource Name (ARN) of the Auto Scaling group.
     */
    autoScalingGroupArn?: AutoScalingGroupArn;
    /**
     * The name of the Auto Scaling group.
     */
    autoScalingGroupName?: AutoScalingGroupName;
    /**
     * The finding classification of the Auto Scaling group. Findings for Auto Scaling groups include:     NotOptimized —An Auto Scaling group is considered not optimized when Compute Optimizer identifies a recommendation that can provide better performance for your workload.     Optimized —An Auto Scaling group is considered optimized when Compute Optimizer determines that the group is correctly provisioned to run your workload based on the chosen instance type. For optimized resources, Compute Optimizer might recommend a new generation instance type.  
     */
    finding?: Finding;
    /**
     * An array of objects that describe the utilization metrics of the Auto Scaling group.
     */
    utilizationMetrics?: UtilizationMetrics;
    /**
     * The number of days for which utilization metrics were analyzed for the Auto Scaling group.
     */
    lookBackPeriodInDays?: LookBackPeriodInDays;
    /**
     * An array of objects that describe the current configuration of the Auto Scaling group.
     */
    currentConfiguration?: AutoScalingGroupConfiguration;
    /**
     * An array of objects that describe the recommendation options for the Auto Scaling group.
     */
    recommendationOptions?: AutoScalingGroupRecommendationOptions;
    /**
     * The timestamp of when the Auto Scaling group recommendation was last generated.
     */
    lastRefreshTimestamp?: LastRefreshTimestamp;
    /**
     * The risk of the current Auto Scaling group not meeting the performance needs of its workloads. The higher the risk, the more likely the current Auto Scaling group configuration has insufficient capacity and cannot meet workload requirements.
     */
    currentPerformanceRisk?: CurrentPerformanceRisk;
    /**
     * An object that describes the effective recommendation preferences for the Auto Scaling group.
     */
    effectiveRecommendationPreferences?: EffectiveRecommendationPreferences;
    /**
     * The applications that might be running on the instances in the Auto Scaling group as inferred by Compute Optimizer. Compute Optimizer can infer if one of the following applications might be running on the instances:    AmazonEmr - Infers that Amazon EMR might be running on the instances.    ApacheCassandra - Infers that Apache Cassandra might be running on the instances.    ApacheHadoop - Infers that Apache Hadoop might be running on the instances.    Memcached - Infers that Memcached might be running on the instances.    NGINX - Infers that NGINX might be running on the instances.    PostgreSql - Infers that PostgreSQL might be running on the instances.    Redis - Infers that Redis might be running on the instances.    Kafka - Infers that Kafka might be running on the instance.    SQLServer - Infers that SQLServer might be running on the instance.  
     */
    inferredWorkloadTypes?: InferredWorkloadTypes;
    /**
     *  Describes the GPU accelerator settings for the current instance type of the Auto Scaling group. 
     */
    currentInstanceGpuInfo?: GpuInfo;
  }
  export interface AutoScalingGroupRecommendationOption {
    /**
     * An array of objects that describe an Auto Scaling group configuration.
     */
    configuration?: AutoScalingGroupConfiguration;
    /**
     * An array of objects that describe the projected utilization metrics of the Auto Scaling group recommendation option.  The Cpu and Memory metrics are the only projected utilization metrics returned. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent. 
     */
    projectedUtilizationMetrics?: ProjectedUtilizationMetrics;
    /**
     * The performance risk of the Auto Scaling group configuration recommendation. Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications. The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.
     */
    performanceRisk?: PerformanceRisk;
    /**
     * The rank of the Auto Scaling group recommendation option. The top recommendation option is ranked as 1.
     */
    rank?: Rank;
    /**
     * An object that describes the savings opportunity for the Auto Scaling group recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.
     */
    savingsOpportunity?: SavingsOpportunity;
    /**
     * The level of effort required to migrate from the current instance type to the recommended instance type. For example, the migration effort is Low if Amazon EMR is the inferred workload type and an Amazon Web Services Graviton instance type is recommended. The migration effort is Medium if a workload type couldn't be inferred but an Amazon Web Services Graviton instance type is recommended. The migration effort is VeryLow if both the current and recommended instance types are of the same CPU architecture.
     */
    migrationEffort?: MigrationEffort;
    /**
     *  Describes the GPU accelerator settings for the recommended instance type of the Auto Scaling group. 
     */
    instanceGpuInfo?: GpuInfo;
  }
  export type AutoScalingGroupRecommendationOptions = AutoScalingGroupRecommendationOption[];
  export type AutoScalingGroupRecommendations = AutoScalingGroupRecommendation[];
  export type Code = string;
  export interface ContainerConfiguration {
    /**
     *  The name of the container. 
     */
    containerName?: ContainerName;
    /**
     *  The memory size configurations for the container. 
     */
    memorySizeConfiguration?: MemorySizeConfiguration;
    /**
     *  The number of CPU units reserved for the container. 
     */
    cpu?: NullableCpu;
  }
  export type ContainerConfigurations = ContainerConfiguration[];
  export type ContainerName = string;
  export interface ContainerRecommendation {
    /**
     *  The name of the container. 
     */
    containerName?: ContainerName;
    /**
     *  The recommended memory size configurations for the container. 
     */
    memorySizeConfiguration?: MemorySizeConfiguration;
    /**
     *  The recommended number of CPU units reserved for the container. 
     */
    cpu?: NullableCpu;
  }
  export type ContainerRecommendations = ContainerRecommendation[];
  export type CpuSize = number;
  export type CpuVendorArchitecture = "AWS_ARM64"|"CURRENT"|string;
  export type CpuVendorArchitectures = CpuVendorArchitecture[];
  export type CreationTimestamp = Date;
  export type Currency = "USD"|"CNY"|string;
  export type CurrentInstanceType = string;
  export type CurrentPerformanceRisk = "VeryLow"|"Low"|"Medium"|"High"|string;
  export interface CurrentPerformanceRiskRatings {
    /**
     * A count of the applicable resource types with a high performance risk rating.
     */
    high?: High;
    /**
     * A count of the applicable resource types with a medium performance risk rating.
     */
    medium?: Medium;
    /**
     * A count of the applicable resource types with a low performance risk rating.
     */
    low?: Low;
    /**
     * A count of the applicable resource types with a very low performance risk rating.
     */
    veryLow?: VeryLow;
  }
  export interface DeleteRecommendationPreferencesRequest {
    /**
     * The target resource type of the recommendation preference to delete. The Ec2Instance option encompasses standalone instances and instances that are part of Auto Scaling groups. The AutoScalingGroup option encompasses only instances that are part of an Auto Scaling group.  The valid values for this parameter are Ec2Instance and AutoScalingGroup. 
     */
    resourceType: ResourceType;
    /**
     * An object that describes the scope of the recommendation preference to delete. You can delete recommendation preferences that are created at the organization level (for management accounts of an organization only), account level, and resource level. For more information, see Activating enhanced infrastructure metrics in the Compute Optimizer User Guide.
     */
    scope?: Scope;
    /**
     * The name of the recommendation preference to delete.
     */
    recommendationPreferenceNames: RecommendationPreferenceNames;
  }
  export interface DeleteRecommendationPreferencesResponse {
  }
  export interface DescribeRecommendationExportJobsRequest {
    /**
     * The identification numbers of the export jobs to return. An export job ID is returned when you create an export using the ExportAutoScalingGroupRecommendations or ExportEC2InstanceRecommendations actions. All export jobs created in the last seven days are returned if this parameter is omitted.
     */
    jobIds?: JobIds;
    /**
     * An array of objects to specify a filter that returns a more specific list of export jobs.
     */
    filters?: JobFilters;
    /**
     * The token to advance to the next page of export jobs.
     */
    nextToken?: NextToken;
    /**
     * The maximum number of export jobs to return with a single request. To retrieve the remaining results, make another request with the returned nextToken value.
     */
    maxResults?: MaxResults;
  }
  export interface DescribeRecommendationExportJobsResponse {
    /**
     * An array of objects that describe recommendation export jobs.
     */
    recommendationExportJobs?: RecommendationExportJobs;
    /**
     * The token to use to advance to the next page of export jobs. This value is null when there are no more pages of export jobs to return.
     */
    nextToken?: NextToken;
  }
  export type DesiredCapacity = number;
  export type DestinationBucket = string;
  export type DestinationKey = string;
  export type DestinationKeyPrefix = string;
  export interface EBSFilter {
    /**
     * The name of the filter. Specify Finding to return recommendations with a specific finding classification (for example, NotOptimized). You can filter your Amazon EBS volume recommendations by tag:key and tag-key tags. A tag:key is a key and value combination of a tag assigned to your Amazon EBS volume recommendations. Use the tag key in the filter name and the tag value as the filter value. For example, to find all Amazon EBS volume recommendations that have a tag with the key of Owner and the value of TeamA, specify tag:Owner for the filter name and TeamA for the filter value. A tag-key is the key of a tag assigned to your Amazon EBS volume recommendations. Use this filter to find all of your Amazon EBS volume recommendations that have a tag with a specific key. This doesn’t consider the tag value. For example, you can find your Amazon EBS volume recommendations with a tag key value of Owner or without any tag keys assigned.
     */
    name?: EBSFilterName;
    /**
     * The value of the filter. The valid values are Optimized, or NotOptimized.
     */
    values?: FilterValues;
  }
  export type EBSFilterName = "Finding"|string;
  export type EBSFilters = EBSFilter[];
  export type EBSFinding = "Optimized"|"NotOptimized"|string;
  export type EBSMetricName = "VolumeReadOpsPerSecond"|"VolumeWriteOpsPerSecond"|"VolumeReadBytesPerSecond"|"VolumeWriteBytesPerSecond"|string;
  export interface EBSUtilizationMetric {
    /**
     * The name of the utilization metric. The following utilization metrics are available:    VolumeReadOpsPerSecond - The completed read operations per second from the volume in a specified period of time. Unit: Count    VolumeWriteOpsPerSecond - The completed write operations per second to the volume in a specified period of time. Unit: Count    VolumeReadBytesPerSecond - The bytes read per second from the volume in a specified period of time. Unit: Bytes    VolumeWriteBytesPerSecond - The bytes written to the volume in a specified period of time. Unit: Bytes  
     */
    name?: EBSMetricName;
    /**
     * The statistic of the utilization metric. The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period. The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.
     */
    statistic?: MetricStatistic;
    /**
     * The value of the utilization metric.
     */
    value?: MetricValue;
  }
  export type EBSUtilizationMetrics = EBSUtilizationMetric[];
  export type ECSServiceLaunchType = "EC2"|"Fargate"|string;
  export type ECSServiceMetricName = "Cpu"|"Memory"|string;
  export type ECSServiceMetricStatistic = "Maximum"|"Average"|string;
  export interface ECSServiceProjectedMetric {
    /**
     *  The name of the projected metric.  The following metrics are available:    Cpu — The percentage of allocated compute units that are currently in use on the service tasks.    Memory — The percentage of memory that's currently in use on the service tasks.  
     */
    name?: ECSServiceMetricName;
    /**
     *  The timestamps of the projected metric. 
     */
    timestamps?: Timestamps;
    /**
     *  The upper bound values for the projected metric. 
     */
    upperBoundValues?: MetricValues;
    /**
     *  The lower bound values for the projected metric. 
     */
    lowerBoundValues?: MetricValues;
  }
  export type ECSServiceProjectedMetrics = ECSServiceProjectedMetric[];
  export interface ECSServiceProjectedUtilizationMetric {
    /**
     *  The name of the projected utilization metric.  The following utilization metrics are available:    Cpu — The percentage of allocated compute units that are currently in use on the service tasks.    Memory — The percentage of memory that's currently in use on the service tasks.  
     */
    name?: ECSServiceMetricName;
    /**
     * The statistic of the projected utilization metric. The Compute Optimizer API, Command Line Interface (CLI), and SDKs return utilization metrics using only the Maximum statistic, which is the highest value observed during the specified period. The Compute Optimizer console displays graphs for some utilization metrics using the Average statistic, which is the value of Sum / SampleCount during the specified period. For more information, see Viewing resource recommendations in the Compute Optimizer User Guide. You can also get averaged utilization metric data for your resources using Amazon CloudWatch. For more information, see the Amazon CloudWatch User Guide.
     */
    statistic?: ECSServiceMetricStatistic;
    /**
     *  The lower bound values for the projected utilization metrics. 
     */
    lowerBoundValue?: LowerBoundValue;
    /**
     *  The upper bound values for the projected utilization metrics. 
     */
    upperBoundValue?: UpperBoundValue;
  }
  export type ECSServiceProjectedUtilizationMetrics = ECSServiceProjectedUtilizationMetric[];
  export interface ECSServiceRecommendation {
    /**
     *  The Amazon Resource Name (ARN) of the current Amazon ECS service.   The following is the format of the ARN:   arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name 
     */
    serviceArn?: ServiceArn;
    /**
     *  The Amazon Web Services account ID of the Amazon ECS service. 
     */
    accountId?: AccountId;
    /**
     *  The configuration of the current Amazon ECS service. 
     */
    currentServiceConfiguration?: ServiceConfiguration;
    /**
     *  An array of objects that describe the utilization metrics of the Amazon ECS service. 
     */
    utilizationMetrics?: ECSServiceUtilizationMetrics;
    /**
     *  The number of days the Amazon ECS service utilization metrics were analyzed. 
     */
    lookbackPeriodInDays?: LookBackPeriodInDays;
    /**
     *  The launch type the Amazon ECS service is using.   Compute Optimizer only supports the Fargate launch type. 
     */
    launchType?: ECSServiceLaunchType;
    /**
     *  The timestamp of when the Amazon ECS service recommendation was last generated. 
     */
    lastRefreshTimestamp?: LastRefreshTimestamp;
    /**
     *  The finding classification of an Amazon ECS service.  Findings for Amazon ECS services include:     Underprovisioned  — When Compute Optimizer detects that there’s not enough memory or CPU, an Amazon ECS service is considered under-provisioned. An under-provisioned service might result in poor application performance.     Overprovisioned  — When Compute Optimizer detects that there’s excessive memory or CPU, an Amazon ECS service is considered over-provisioned. An over-provisioned service might result in additional infrastructure costs.      Optimized  — When both the CPU and memory of your Amazon ECS service meet the performance requirements of your workload, the service is considered optimized.  
     */
    finding?: ECSServiceRecommendationFinding;
    /**
     *  The reason for the finding classification of an Amazon ECS service.  Finding reason codes for Amazon ECS services include:     CPUUnderprovisioned  — The service CPU configuration can be sized up to enhance the performance of your workload. This is identified by analyzing the CPUUtilization metric of the current service during the look-back period.     CPUOverprovisioned  — The service CPU configuration can be sized down while still meeting the performance requirements of your workload. This is identified by analyzing the CPUUtilization metric of the current service during the look-back period.      MemoryUnderprovisioned  — The service memory configuration can be sized up to