# frozen_string_literal: true # WARNING ABOUT GENERATED CODE # # This file is generated. See the contributing guide for more information: # https://github.com/aws/aws-sdk-ruby/blob/version-3/CONTRIBUTING.md # # WARNING ABOUT GENERATED CODE require 'seahorse/client/plugins/content_length.rb' require 'aws-sdk-core/plugins/credentials_configuration.rb' require 'aws-sdk-core/plugins/logging.rb' require 'aws-sdk-core/plugins/param_converter.rb' require 'aws-sdk-core/plugins/param_validator.rb' require 'aws-sdk-core/plugins/user_agent.rb' require 'aws-sdk-core/plugins/helpful_socket_errors.rb' require 'aws-sdk-core/plugins/retry_errors.rb' require 'aws-sdk-core/plugins/global_configuration.rb' require 'aws-sdk-core/plugins/regional_endpoint.rb' require 'aws-sdk-core/plugins/endpoint_discovery.rb' require 'aws-sdk-core/plugins/endpoint_pattern.rb' require 'aws-sdk-core/plugins/response_paging.rb' require 'aws-sdk-core/plugins/stub_responses.rb' require 'aws-sdk-core/plugins/idempotency_token.rb' require 'aws-sdk-core/plugins/invocation_id.rb' require 'aws-sdk-core/plugins/jsonvalue_converter.rb' require 'aws-sdk-core/plugins/client_metrics_plugin.rb' require 'aws-sdk-core/plugins/client_metrics_send_plugin.rb' require 'aws-sdk-core/plugins/transfer_encoding.rb' require 'aws-sdk-core/plugins/http_checksum.rb' require 'aws-sdk-core/plugins/checksum_algorithm.rb' require 'aws-sdk-core/plugins/request_compression.rb' require 'aws-sdk-core/plugins/defaults_mode.rb' require 'aws-sdk-core/plugins/recursion_detection.rb' require 'aws-sdk-core/plugins/sign.rb' require 'aws-sdk-core/plugins/protocols/json_rpc.rb' Aws::Plugins::GlobalConfiguration.add_identifier(:computeoptimizer) module Aws::ComputeOptimizer # An API client for ComputeOptimizer. To construct a client, you need to configure a `:region` and `:credentials`. # # client = Aws::ComputeOptimizer::Client.new( # region: region_name, # credentials: credentials, # # ... # ) # # For details on configuring region and credentials see # the [developer guide](/sdk-for-ruby/v3/developer-guide/setup-config.html). # # See {#initialize} for a full list of supported configuration options. class Client < Seahorse::Client::Base include Aws::ClientStubs @identifier = :computeoptimizer set_api(ClientApi::API) add_plugin(Seahorse::Client::Plugins::ContentLength) add_plugin(Aws::Plugins::CredentialsConfiguration) add_plugin(Aws::Plugins::Logging) add_plugin(Aws::Plugins::ParamConverter) add_plugin(Aws::Plugins::ParamValidator) add_plugin(Aws::Plugins::UserAgent) add_plugin(Aws::Plugins::HelpfulSocketErrors) add_plugin(Aws::Plugins::RetryErrors) add_plugin(Aws::Plugins::GlobalConfiguration) add_plugin(Aws::Plugins::RegionalEndpoint) add_plugin(Aws::Plugins::EndpointDiscovery) add_plugin(Aws::Plugins::EndpointPattern) add_plugin(Aws::Plugins::ResponsePaging) add_plugin(Aws::Plugins::StubResponses) add_plugin(Aws::Plugins::IdempotencyToken) add_plugin(Aws::Plugins::InvocationId) add_plugin(Aws::Plugins::JsonvalueConverter) add_plugin(Aws::Plugins::ClientMetricsPlugin) add_plugin(Aws::Plugins::ClientMetricsSendPlugin) add_plugin(Aws::Plugins::TransferEncoding) add_plugin(Aws::Plugins::HttpChecksum) add_plugin(Aws::Plugins::ChecksumAlgorithm) add_plugin(Aws::Plugins::RequestCompression) add_plugin(Aws::Plugins::DefaultsMode) add_plugin(Aws::Plugins::RecursionDetection) add_plugin(Aws::Plugins::Sign) add_plugin(Aws::Plugins::Protocols::JsonRpc) add_plugin(Aws::ComputeOptimizer::Plugins::Endpoints) # @overload initialize(options) # @param [Hash] options # # @option options [Array] :plugins ([]]) # A list of plugins to apply to the client. Each plugin is either a # class name or an instance of a plugin class. # # @option options [required, Aws::CredentialProvider] :credentials # Your AWS credentials. This can be an instance of any one of the # following classes: # # * `Aws::Credentials` - Used for configuring static, non-refreshing # credentials. # # * `Aws::SharedCredentials` - Used for loading static credentials from a # shared file, such as `~/.aws/config`. # # * `Aws::AssumeRoleCredentials` - Used when you need to assume a role. # # * `Aws::AssumeRoleWebIdentityCredentials` - Used when you need to # assume a role after providing credentials via the web. # # * `Aws::SSOCredentials` - Used for loading credentials from AWS SSO using an # access token generated from `aws login`. # # * `Aws::ProcessCredentials` - Used for loading credentials from a # process that outputs to stdout. # # * `Aws::InstanceProfileCredentials` - Used for loading credentials # from an EC2 IMDS on an EC2 instance. # # * `Aws::ECSCredentials` - Used for loading credentials from # instances running in ECS. # # * `Aws::CognitoIdentityCredentials` - Used for loading credentials # from the Cognito Identity service. # # When `:credentials` are not configured directly, the following # locations will be searched for credentials: # # * `Aws.config[:credentials]` # * The `:access_key_id`, `:secret_access_key`, and `:session_token` options. # * ENV['AWS_ACCESS_KEY_ID'], ENV['AWS_SECRET_ACCESS_KEY'] # * `~/.aws/credentials` # * `~/.aws/config` # * EC2/ECS IMDS instance profile - When used by default, the timeouts # are very aggressive. Construct and pass an instance of # `Aws::InstanceProfileCredentails` or `Aws::ECSCredentials` to # enable retries and extended timeouts. Instance profile credential # fetching can be disabled by setting ENV['AWS_EC2_METADATA_DISABLED'] # to true. # # @option options [required, String] :region # The AWS region to connect to. The configured `:region` is # used to determine the service `:endpoint`. When not passed, # a default `:region` is searched for in the following locations: # # * `Aws.config[:region]` # * `ENV['AWS_REGION']` # * `ENV['AMAZON_REGION']` # * `ENV['AWS_DEFAULT_REGION']` # * `~/.aws/credentials` # * `~/.aws/config` # # @option options [String] :access_key_id # # @option options [Boolean] :active_endpoint_cache (false) # When set to `true`, a thread polling for endpoints will be running in # the background every 60 secs (default). Defaults to `false`. # # @option options [Boolean] :adaptive_retry_wait_to_fill (true) # Used only in `adaptive` retry mode. When true, the request will sleep # until there is sufficent client side capacity to retry the request. # When false, the request will raise a `RetryCapacityNotAvailableError` and will # not retry instead of sleeping. # # @option options [Boolean] :client_side_monitoring (false) # When `true`, client-side metrics will be collected for all API requests from # this client. # # @option options [String] :client_side_monitoring_client_id ("") # Allows you to provide an identifier for this client which will be attached to # all generated client side metrics. Defaults to an empty string. # # @option options [String] :client_side_monitoring_host ("127.0.0.1") # Allows you to specify the DNS hostname or IPv4 or IPv6 address that the client # side monitoring agent is running on, where client metrics will be published via UDP. # # @option options [Integer] :client_side_monitoring_port (31000) # Required for publishing client metrics. The port that the client side monitoring # agent is running on, where client metrics will be published via UDP. # # @option options [Aws::ClientSideMonitoring::Publisher] :client_side_monitoring_publisher (Aws::ClientSideMonitoring::Publisher) # Allows you to provide a custom client-side monitoring publisher class. By default, # will use the Client Side Monitoring Agent Publisher. # # @option options [Boolean] :convert_params (true) # When `true`, an attempt is made to coerce request parameters into # the required types. # # @option options [Boolean] :correct_clock_skew (true) # Used only in `standard` and adaptive retry modes. Specifies whether to apply # a clock skew correction and retry requests with skewed client clocks. # # @option options [String] :defaults_mode ("legacy") # See {Aws::DefaultsModeConfiguration} for a list of the # accepted modes and the configuration defaults that are included. # # @option options [Boolean] :disable_host_prefix_injection (false) # Set to true to disable SDK automatically adding host prefix # to default service endpoint when available. # # @option options [Boolean] :disable_request_compression (false) # When set to 'true' the request body will not be compressed # for supported operations. # # @option options [String, URI::HTTPS, URI::HTTP] :endpoint # Normally you should not configure the `:endpoint` option # directly. This is normally constructed from the `:region` # option. Configuring `:endpoint` is normally reserved for # connecting to test or custom endpoints. The endpoint should # be a URI formatted like: # # 'http://example.com' # 'https://example.com' # 'http://example.com:123' # # @option options [Integer] :endpoint_cache_max_entries (1000) # Used for the maximum size limit of the LRU cache storing endpoints data # for endpoint discovery enabled operations. Defaults to 1000. # # @option options [Integer] :endpoint_cache_max_threads (10) # Used for the maximum threads in use for polling endpoints to be cached, defaults to 10. # # @option options [Integer] :endpoint_cache_poll_interval (60) # When :endpoint_discovery and :active_endpoint_cache is enabled, # Use this option to config the time interval in seconds for making # requests fetching endpoints information. Defaults to 60 sec. # # @option options [Boolean] :endpoint_discovery (false) # When set to `true`, endpoint discovery will be enabled for operations when available. # # @option options [Boolean] :ignore_configured_endpoint_urls # Setting to true disables use of endpoint URLs provided via environment # variables and the shared configuration file. # # @option options [Aws::Log::Formatter] :log_formatter (Aws::Log::Formatter.default) # The log formatter. # # @option options [Symbol] :log_level (:info) # The log level to send messages to the `:logger` at. # # @option options [Logger] :logger # The Logger instance to send log messages to. If this option # is not set, logging will be disabled. # # @option options [Integer] :max_attempts (3) # An integer representing the maximum number attempts that will be made for # a single request, including the initial attempt. For example, # setting this value to 5 will result in a request being retried up to # 4 times. Used in `standard` and `adaptive` retry modes. # # @option options [String] :profile ("default") # Used when loading credentials from the shared credentials file # at HOME/.aws/credentials. When not specified, 'default' is used. # # @option options [Integer] :request_min_compression_size_bytes (10240) # The minimum size in bytes that triggers compression for request # bodies. The value must be non-negative integer value between 0 # and 10485780 bytes inclusive. # # @option options [Proc] :retry_backoff # A proc or lambda used for backoff. Defaults to 2**retries * retry_base_delay. # This option is only used in the `legacy` retry mode. # # @option options [Float] :retry_base_delay (0.3) # The base delay in seconds used by the default backoff function. This option # is only used in the `legacy` retry mode. # # @option options [Symbol] :retry_jitter (:none) # A delay randomiser function used by the default backoff function. # Some predefined functions can be referenced by name - :none, :equal, :full, # otherwise a Proc that takes and returns a number. This option is only used # in the `legacy` retry mode. # # @see https://www.awsarchitectureblog.com/2015/03/backoff.html # # @option options [Integer] :retry_limit (3) # The maximum number of times to retry failed requests. Only # ~ 500 level server errors and certain ~ 400 level client errors # are retried. Generally, these are throttling errors, data # checksum errors, networking errors, timeout errors, auth errors, # endpoint discovery, and errors from expired credentials. # This option is only used in the `legacy` retry mode. # # @option options [Integer] :retry_max_delay (0) # The maximum number of seconds to delay between retries (0 for no limit) # used by the default backoff function. This option is only used in the # `legacy` retry mode. # # @option options [String] :retry_mode ("legacy") # Specifies which retry algorithm to use. Values are: # # * `legacy` - The pre-existing retry behavior. This is default value if # no retry mode is provided. # # * `standard` - A standardized set of retry rules across the AWS SDKs. # This includes support for retry quotas, which limit the number of # unsuccessful retries a client can make. # # * `adaptive` - An experimental retry mode that includes all the # functionality of `standard` mode along with automatic client side # throttling. This is a provisional mode that may change behavior # in the future. # # @option options [String] :sdk_ua_app_id # A unique and opaque application ID that is appended to the # User-Agent header as app/sdk_ua_app_id. It should have a # maximum length of 50. This variable is sourced from environment # variable AWS_SDK_UA_APP_ID or the shared config profile attribute sdk_ua_app_id. # # @option options [String] :secret_access_key # # @option options [String] :session_token # # @option options [Boolean] :simple_json (false) # Disables request parameter conversion, validation, and formatting. # Also disable response data type conversions. This option is useful # when you want to ensure the highest level of performance by # avoiding overhead of walking request parameters and response data # structures. # # When `:simple_json` is enabled, the request parameters hash must # be formatted exactly as the DynamoDB API expects. # # @option options [Boolean] :stub_responses (false) # Causes the client to return stubbed responses. By default # fake responses are generated and returned. You can specify # the response data to return or errors to raise by calling # {ClientStubs#stub_responses}. See {ClientStubs} for more information. # # ** Please note ** When response stubbing is enabled, no HTTP # requests are made, and retries are disabled. # # @option options [Aws::TokenProvider] :token_provider # A Bearer Token Provider. This can be an instance of any one of the # following classes: # # * `Aws::StaticTokenProvider` - Used for configuring static, non-refreshing # tokens. # # * `Aws::SSOTokenProvider` - Used for loading tokens from AWS SSO using an # access token generated from `aws login`. # # When `:token_provider` is not configured directly, the `Aws::TokenProviderChain` # will be used to search for tokens configured for your profile in shared configuration files. # # @option options [Boolean] :use_dualstack_endpoint # When set to `true`, dualstack enabled endpoints (with `.aws` TLD) # will be used if available. # # @option options [Boolean] :use_fips_endpoint # When set to `true`, fips compatible endpoints will be used if available. # When a `fips` region is used, the region is normalized and this config # is set to `true`. # # @option options [Boolean] :validate_params (true) # When `true`, request parameters are validated before # sending the request. # # @option options [Aws::ComputeOptimizer::EndpointProvider] :endpoint_provider # The endpoint provider used to resolve endpoints. Any object that responds to `#resolve_endpoint(parameters)` where `parameters` is a Struct similar to `Aws::ComputeOptimizer::EndpointParameters` # # @option options [Float] :http_continue_timeout (1) # The number of seconds to wait for a 100-continue response before sending the # request body. This option has no effect unless the request has "Expect" # header set to "100-continue". Defaults to `nil` which disables this # behaviour. This value can safely be set per request on the session. # # @option options [Float] :http_idle_timeout (5) # The number of seconds a connection is allowed to sit idle before it # is considered stale. Stale connections are closed and removed from the # pool before making a request. # # @option options [Float] :http_open_timeout (15) # The default number of seconds to wait for response data. # This value can safely be set per-request on the session. # # @option options [URI::HTTP,String] :http_proxy # A proxy to send requests through. Formatted like 'http://proxy.com:123'. # # @option options [Float] :http_read_timeout (60) # The default number of seconds to wait for response data. # This value can safely be set per-request on the session. # # @option options [Boolean] :http_wire_trace (false) # When `true`, HTTP debug output will be sent to the `:logger`. # # @option options [Proc] :on_chunk_received # When a Proc object is provided, it will be used as callback when each chunk # of the response body is received. It provides three arguments: the chunk, # the number of bytes received, and the total number of # bytes in the response (or nil if the server did not send a `content-length`). # # @option options [Proc] :on_chunk_sent # When a Proc object is provided, it will be used as callback when each chunk # of the request body is sent. It provides three arguments: the chunk, # the number of bytes read from the body, and the total number of # bytes in the body. # # @option options [Boolean] :raise_response_errors (true) # When `true`, response errors are raised. # # @option options [String] :ssl_ca_bundle # Full path to the SSL certificate authority bundle file that should be used when # verifying peer certificates. If you do not pass `:ssl_ca_bundle` or # `:ssl_ca_directory` the the system default will be used if available. # # @option options [String] :ssl_ca_directory # Full path of the directory that contains the unbundled SSL certificate # authority files for verifying peer certificates. If you do # not pass `:ssl_ca_bundle` or `:ssl_ca_directory` the the system # default will be used if available. # # @option options [String] :ssl_ca_store # Sets the X509::Store to verify peer certificate. # # @option options [Float] :ssl_timeout # Sets the SSL timeout in seconds # # @option options [Boolean] :ssl_verify_peer (true) # When `true`, SSL peer certificates are verified when establishing a connection. # def initialize(*args) super end # @!group API Operations # Deletes a recommendation preference, such as enhanced infrastructure # metrics. # # For more information, see [Activating enhanced infrastructure # metrics][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/enhanced-infrastructure-metrics.html # # @option params [required, String] :resource_type # 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. # # @option params [Types::Scope] :scope # 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][1] in the *Compute # Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/enhanced-infrastructure-metrics.html # # @option params [required, Array] :recommendation_preference_names # The name of the recommendation preference to delete. # # @return [Struct] Returns an empty {Seahorse::Client::Response response}. # # @example Request syntax with placeholder values # # resp = client.delete_recommendation_preferences({ # resource_type: "Ec2Instance", # required, accepts Ec2Instance, AutoScalingGroup, EbsVolume, LambdaFunction, NotApplicable, EcsService, License, RdsDBInstance # scope: { # name: "Organization", # accepts Organization, AccountId, ResourceArn # value: "ScopeValue", # }, # recommendation_preference_names: ["EnhancedInfrastructureMetrics"], # required, accepts EnhancedInfrastructureMetrics, InferredWorkloadTypes, ExternalMetricsPreference, LookBackPeriodPreference, PreferredResources, UtilizationPreferences # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/DeleteRecommendationPreferences AWS API Documentation # # @overload delete_recommendation_preferences(params = {}) # @param [Hash] params ({}) def delete_recommendation_preferences(params = {}, options = {}) req = build_request(:delete_recommendation_preferences, params) req.send_request(options) end # 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. # # @option params [Array] :job_ids # 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. # # @option params [Array] :filters # An array of objects to specify a filter that returns a more specific # list of export jobs. # # @option params [String] :next_token # The token to advance to the next page of export jobs. # # @option params [Integer] :max_results # 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. # # @return [Types::DescribeRecommendationExportJobsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::DescribeRecommendationExportJobsResponse#recommendation_export_jobs #recommendation_export_jobs} => Array<Types::RecommendationExportJob> # * {Types::DescribeRecommendationExportJobsResponse#next_token #next_token} => String # # The returned {Seahorse::Client::Response response} is a pageable response and is Enumerable. For details on usage see {Aws::PageableResponse PageableResponse}. # # @example Request syntax with placeholder values # # resp = client.describe_recommendation_export_jobs({ # job_ids: ["JobId"], # filters: [ # { # name: "ResourceType", # accepts ResourceType, JobStatus # values: ["FilterValue"], # }, # ], # next_token: "NextToken", # max_results: 1, # }) # # @example Response structure # # resp.recommendation_export_jobs #=> Array # resp.recommendation_export_jobs[0].job_id #=> String # resp.recommendation_export_jobs[0].destination.s3.bucket #=> String # resp.recommendation_export_jobs[0].destination.s3.key #=> String # resp.recommendation_export_jobs[0].destination.s3.metadata_key #=> String # resp.recommendation_export_jobs[0].resource_type #=> String, one of "Ec2Instance", "AutoScalingGroup", "EbsVolume", "LambdaFunction", "NotApplicable", "EcsService", "License", "RdsDBInstance" # resp.recommendation_export_jobs[0].status #=> String, one of "Queued", "InProgress", "Complete", "Failed" # resp.recommendation_export_jobs[0].creation_timestamp #=> Time # resp.recommendation_export_jobs[0].last_updated_timestamp #=> Time # resp.recommendation_export_jobs[0].failure_reason #=> String # resp.next_token #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/DescribeRecommendationExportJobs AWS API Documentation # # @overload describe_recommendation_export_jobs(params = {}) # @param [Hash] params ({}) def describe_recommendation_export_jobs(params = {}, options = {}) req = build_request(:describe_recommendation_export_jobs, params) req.send_request(options) end # 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][1] # in the *Compute Optimizer User Guide*. # # You can have only one Auto Scaling group export job in progress per # Amazon Web Services Region. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/exporting-recommendations.html # # @option params [Array] :account_ids # The IDs of the Amazon Web Services accounts for which to export Auto # Scaling group recommendations. # # If your account is the management account of an organization, use this # parameter to specify the member account 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. # # @option params [Array] :filters # An array of objects to specify a filter that exports a more specific # set of Auto Scaling group recommendations. # # @option params [Array] :fields_to_export # The recommendations data to include in the export file. For more # information about the fields that can be exported, see [Exported # files][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/exporting-recommendations.html#exported-files # # @option params [required, Types::S3DestinationConfig] :s3_destination_config # 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 permissions 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][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/create-s3-bucket-policy-for-compute-optimizer.html # # @option params [String] :file_format # The format of the export file. # # The only export file format currently supported is `Csv`. # # @option params [Boolean] :include_member_accounts # Indicates whether to include recommendations for resources in all # member accounts of the organization if your account is the management # account of an organization. # # The member accounts must also be opted in to Compute Optimizer, and # trusted access for Compute Optimizer must be enabled in the # organization account. For more information, see [Compute Optimizer and # Amazon Web Services Organizations trusted access][1] in the *Compute # Optimizer User Guide*. # # 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. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/security-iam.html#trusted-service-access # # @option params [Types::RecommendationPreferences] :recommendation_preferences # An object to specify the preferences for the Auto Scaling group # recommendations to export. # # @return [Types::ExportAutoScalingGroupRecommendationsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::ExportAutoScalingGroupRecommendationsResponse#job_id #job_id} => String # * {Types::ExportAutoScalingGroupRecommendationsResponse#s3_destination #s3_destination} => Types::S3Destination # # @example Request syntax with placeholder values # # resp = client.export_auto_scaling_group_recommendations({ # account_ids: ["AccountId"], # filters: [ # { # name: "Finding", # accepts Finding, FindingReasonCodes, RecommendationSourceType, InferredWorkloadTypes # values: ["FilterValue"], # }, # ], # fields_to_export: ["AccountId"], # accepts AccountId, AutoScalingGroupArn, AutoScalingGroupName, Finding, UtilizationMetricsCpuMaximum, UtilizationMetricsMemoryMaximum, UtilizationMetricsEbsReadOpsPerSecondMaximum, UtilizationMetricsEbsWriteOpsPerSecondMaximum, UtilizationMetricsEbsReadBytesPerSecondMaximum, UtilizationMetricsEbsWriteBytesPerSecondMaximum, UtilizationMetricsDiskReadOpsPerSecondMaximum, UtilizationMetricsDiskWriteOpsPerSecondMaximum, UtilizationMetricsDiskReadBytesPerSecondMaximum, UtilizationMetricsDiskWriteBytesPerSecondMaximum, UtilizationMetricsNetworkInBytesPerSecondMaximum, UtilizationMetricsNetworkOutBytesPerSecondMaximum, UtilizationMetricsNetworkPacketsInPerSecondMaximum, UtilizationMetricsNetworkPacketsOutPerSecondMaximum, 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, CurrentPerformanceRisk, RecommendationOptionsSavingsOpportunityPercentage, RecommendationOptionsEstimatedMonthlySavingsCurrency, RecommendationOptionsEstimatedMonthlySavingsValue, EffectiveRecommendationPreferencesCpuVendorArchitectures, EffectiveRecommendationPreferencesEnhancedInfrastructureMetrics, EffectiveRecommendationPreferencesInferredWorkloadTypes, EffectiveRecommendationPreferencesPreferredResources, EffectiveRecommendationPreferencesLookBackPeriod, InferredWorkloadTypes, RecommendationOptionsMigrationEffort, CurrentInstanceGpuInfo, RecommendationOptionsInstanceGpuInfo, UtilizationMetricsGpuPercentageMaximum, UtilizationMetricsGpuMemoryPercentageMaximum, RecommendationOptionsProjectedUtilizationMetricsGpuPercentageMaximum, RecommendationOptionsProjectedUtilizationMetricsGpuMemoryPercentageMaximum, EffectiveRecommendationPreferencesSavingsEstimationMode, RecommendationOptionsSavingsOpportunityAfterDiscountsPercentage, RecommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts, RecommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts # s3_destination_config: { # required # bucket: "DestinationBucket", # key_prefix: "DestinationKeyPrefix", # }, # file_format: "Csv", # accepts Csv # include_member_accounts: false, # recommendation_preferences: { # cpu_vendor_architectures: ["AWS_ARM64"], # accepts AWS_ARM64, CURRENT # }, # }) # # @example Response structure # # resp.job_id #=> String # resp.s3_destination.bucket #=> String # resp.s3_destination.key #=> String # resp.s3_destination.metadata_key #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/ExportAutoScalingGroupRecommendations AWS API Documentation # # @overload export_auto_scaling_group_recommendations(params = {}) # @param [Hash] params ({}) def export_auto_scaling_group_recommendations(params = {}, options = {}) req = build_request(:export_auto_scaling_group_recommendations, params) req.send_request(options) end # 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][1] # in the *Compute Optimizer User Guide*. # # You can have only one Amazon EBS volume export job in progress per # Amazon Web Services Region. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/exporting-recommendations.html # # @option params [Array] :account_ids # The IDs of the Amazon Web Services accounts for which to export Amazon # EBS volume recommendations. # # If your account is the management account of an organization, use this # parameter to specify the member account 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. # # @option params [Array] :filters # An array of objects to specify a filter that exports a more specific # set of Amazon EBS volume recommendations. # # @option params [Array] :fields_to_export # The recommendations data to include in the export file. For more # information about the fields that can be exported, see [Exported # files][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/exporting-recommendations.html#exported-files # # @option params [required, Types::S3DestinationConfig] :s3_destination_config # Describes the destination Amazon Simple Storage Service (Amazon S3) # bucket name and key prefix for a recommendations 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][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/create-s3-bucket-policy-for-compute-optimizer.html # # @option params [String] :file_format # The format of the export file. # # The only export file format currently supported is `Csv`. # # @option params [Boolean] :include_member_accounts # Indicates whether to include recommendations for resources in all # member accounts of the organization if your account is the management # account of an organization. # # The member accounts must also be opted in to Compute Optimizer, and # trusted access for Compute Optimizer must be enabled in the # organization account. For more information, see [Compute Optimizer and # Amazon Web Services Organizations trusted access][1] in the *Compute # Optimizer User Guide*. # # 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. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/security-iam.html#trusted-service-access # # @return [Types::ExportEBSVolumeRecommendationsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::ExportEBSVolumeRecommendationsResponse#job_id #job_id} => String # * {Types::ExportEBSVolumeRecommendationsResponse#s3_destination #s3_destination} => Types::S3Destination # # @example Request syntax with placeholder values # # resp = client.export_ebs_volume_recommendations({ # account_ids: ["AccountId"], # filters: [ # { # name: "Finding", # accepts Finding # values: ["FilterValue"], # }, # ], # fields_to_export: ["AccountId"], # accepts AccountId, VolumeArn, Finding, UtilizationMetricsVolumeReadOpsPerSecondMaximum, UtilizationMetricsVolumeWriteOpsPerSecondMaximum, UtilizationMetricsVolumeReadBytesPerSecondMaximum, UtilizationMetricsVolumeWriteBytesPerSecondMaximum, LookbackPeriodInDays, CurrentConfigurationVolumeType, CurrentConfigurationVolumeBaselineIOPS, CurrentConfigurationVolumeBaselineThroughput, CurrentConfigurationVolumeBurstIOPS, CurrentConfigurationVolumeBurstThroughput, CurrentConfigurationVolumeSize, CurrentMonthlyPrice, RecommendationOptionsConfigurationVolumeType, RecommendationOptionsConfigurationVolumeBaselineIOPS, RecommendationOptionsConfigurationVolumeBaselineThroughput, RecommendationOptionsConfigurationVolumeBurstIOPS, RecommendationOptionsConfigurationVolumeBurstThroughput, RecommendationOptionsConfigurationVolumeSize, RecommendationOptionsMonthlyPrice, RecommendationOptionsPerformanceRisk, LastRefreshTimestamp, CurrentPerformanceRisk, RecommendationOptionsSavingsOpportunityPercentage, RecommendationOptionsEstimatedMonthlySavingsCurrency, RecommendationOptionsEstimatedMonthlySavingsValue, Tags, RootVolume, CurrentConfigurationRootVolume, EffectiveRecommendationPreferencesSavingsEstimationMode, RecommendationOptionsSavingsOpportunityAfterDiscountsPercentage, RecommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts, RecommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts # s3_destination_config: { # required # bucket: "DestinationBucket", # key_prefix: "DestinationKeyPrefix", # }, # file_format: "Csv", # accepts Csv # include_member_accounts: false, # }) # # @example Response structure # # resp.job_id #=> String # resp.s3_destination.bucket #=> String # resp.s3_destination.key #=> String # resp.s3_destination.metadata_key #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/ExportEBSVolumeRecommendations AWS API Documentation # # @overload export_ebs_volume_recommendations(params = {}) # @param [Hash] params ({}) def export_ebs_volume_recommendations(params = {}, options = {}) req = build_request(:export_ebs_volume_recommendations, params) req.send_request(options) end # 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][1] # in the *Compute Optimizer User Guide*. # # You can have only one Amazon EC2 instance export job in progress per # Amazon Web Services Region. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/exporting-recommendations.html # # @option params [Array] :account_ids # The IDs of the Amazon Web Services accounts for which to export # instance recommendations. # # If your account is the management account of an organization, use this # parameter to specify the member account 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. # # @option params [Array] :filters # An array of objects to specify a filter that exports a more specific # set of instance recommendations. # # @option params [Array] :fields_to_export # The recommendations data to include in the export file. For more # information about the fields that can be exported, see [Exported # files][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/exporting-recommendations.html#exported-files # # @option params [required, Types::S3DestinationConfig] :s3_destination_config # 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 permissions 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][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/create-s3-bucket-policy-for-compute-optimizer.html # # @option params [String] :file_format # The format of the export file. # # The only export file format currently supported is `Csv`. # # @option params [Boolean] :include_member_accounts # Indicates whether to include recommendations for resources in all # member accounts of the organization if your account is the management # account of an organization. # # The member accounts must also be opted in to Compute Optimizer, and # trusted access for Compute Optimizer must be enabled in the # organization account. For more information, see [Compute Optimizer and # Amazon Web Services Organizations trusted access][1] in the *Compute # Optimizer User Guide*. # # Recommendations for member accounts of the organization are not # included in the export file if this parameter is omitted. # # Recommendations for member accounts are not included in the export if # this parameter, or the account IDs parameter, is omitted. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/security-iam.html#trusted-service-access # # @option params [Types::RecommendationPreferences] :recommendation_preferences # An object to specify the preferences for the Amazon EC2 instance # recommendations to export. # # @return [Types::ExportEC2InstanceRecommendationsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::ExportEC2InstanceRecommendationsResponse#job_id #job_id} => String # * {Types::ExportEC2InstanceRecommendationsResponse#s3_destination #s3_destination} => Types::S3Destination # # @example Request syntax with placeholder values # # resp = client.export_ec2_instance_recommendations({ # account_ids: ["AccountId"], # filters: [ # { # name: "Finding", # accepts Finding, FindingReasonCodes, RecommendationSourceType, InferredWorkloadTypes # values: ["FilterValue"], # }, # ], # fields_to_export: ["AccountId"], # accepts AccountId, InstanceArn, InstanceName, Finding, FindingReasonCodes, LookbackPeriodInDays, CurrentInstanceType, UtilizationMetricsCpuMaximum, UtilizationMetricsMemoryMaximum, UtilizationMetricsEbsReadOpsPerSecondMaximum, UtilizationMetricsEbsWriteOpsPerSecondMaximum, UtilizationMetricsEbsReadBytesPerSecondMaximum, UtilizationMetricsEbsWriteBytesPerSecondMaximum, UtilizationMetricsDiskReadOpsPerSecondMaximum, UtilizationMetricsDiskWriteOpsPerSecondMaximum, UtilizationMetricsDiskReadBytesPerSecondMaximum, UtilizationMetricsDiskWriteBytesPerSecondMaximum, UtilizationMetricsNetworkInBytesPerSecondMaximum, UtilizationMetricsNetworkOutBytesPerSecondMaximum, UtilizationMetricsNetworkPacketsInPerSecondMaximum, UtilizationMetricsNetworkPacketsOutPerSecondMaximum, CurrentOnDemandPrice, CurrentStandardOneYearNoUpfrontReservedPrice, CurrentStandardThreeYearNoUpfrontReservedPrice, CurrentVCpus, CurrentMemory, CurrentStorage, CurrentNetwork, RecommendationOptionsInstanceType, RecommendationOptionsProjectedUtilizationMetricsCpuMaximum, RecommendationOptionsProjectedUtilizationMetricsMemoryMaximum, RecommendationOptionsPlatformDifferences, RecommendationOptionsPerformanceRisk, RecommendationOptionsVcpus, RecommendationOptionsMemory, RecommendationOptionsStorage, RecommendationOptionsNetwork, RecommendationOptionsOnDemandPrice, RecommendationOptionsStandardOneYearNoUpfrontReservedPrice, RecommendationOptionsStandardThreeYearNoUpfrontReservedPrice, RecommendationsSourcesRecommendationSourceArn, RecommendationsSourcesRecommendationSourceType, LastRefreshTimestamp, CurrentPerformanceRisk, RecommendationOptionsSavingsOpportunityPercentage, RecommendationOptionsEstimatedMonthlySavingsCurrency, RecommendationOptionsEstimatedMonthlySavingsValue, EffectiveRecommendationPreferencesCpuVendorArchitectures, EffectiveRecommendationPreferencesEnhancedInfrastructureMetrics, EffectiveRecommendationPreferencesInferredWorkloadTypes, InferredWorkloadTypes, RecommendationOptionsMigrationEffort, EffectiveRecommendationPreferencesExternalMetricsSource, Tags, InstanceState, ExternalMetricStatusCode, ExternalMetricStatusReason, CurrentInstanceGpuInfo, RecommendationOptionsInstanceGpuInfo, UtilizationMetricsGpuPercentageMaximum, UtilizationMetricsGpuMemoryPercentageMaximum, RecommendationOptionsProjectedUtilizationMetricsGpuPercentageMaximum, RecommendationOptionsProjectedUtilizationMetricsGpuMemoryPercentageMaximum, Idle, EffectiveRecommendationPreferencesPreferredResources, EffectiveRecommendationPreferencesLookBackPeriod, EffectiveRecommendationPreferencesUtilizationPreferences, EffectiveRecommendationPreferencesSavingsEstimationMode, RecommendationOptionsSavingsOpportunityAfterDiscountsPercentage, RecommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts, RecommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts # s3_destination_config: { # required # bucket: "DestinationBucket", # key_prefix: "DestinationKeyPrefix", # }, # file_format: "Csv", # accepts Csv # include_member_accounts: false, # recommendation_preferences: { # cpu_vendor_architectures: ["AWS_ARM64"], # accepts AWS_ARM64, CURRENT # }, # }) # # @example Response structure # # resp.job_id #=> String # resp.s3_destination.bucket #=> String # resp.s3_destination.key #=> String # resp.s3_destination.metadata_key #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/ExportEC2InstanceRecommendations AWS API Documentation # # @overload export_ec2_instance_recommendations(params = {}) # @param [Hash] params ({}) def export_ec2_instance_recommendations(params = {}, options = {}) req = build_request(:export_ec2_instance_recommendations, params) req.send_request(options) end # 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][1] in the *Compute Optimizer User Guide*. # # You can only have one Amazon ECS service export job in progress per # Amazon Web Services Region. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/exporting-recommendations.html # # @option params [Array] :account_ids # The Amazon Web Services account IDs for the export Amazon ECS service # recommendations. # # If your account is the management account or the delegated # administrator of an organization, use this parameter to specify the # member account you want to export recommendations to. # # This parameter can't be specified together with the include member # accounts parameter. The parameters are mutually exclusive. # # If this parameter or the include member accounts parameter is omitted, # the recommendations for member accounts aren't included in the # export. # # You can specify multiple account IDs per request. # # @option params [Array] :filters # An array of objects to specify a filter that exports a more specific # set of Amazon ECS service recommendations. # # @option params [Array] :fields_to_export # The recommendations data to include in the export file. For more # information about the fields that can be exported, see [Exported # files][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/exporting-recommendations.html#exported-files # # @option params [required, Types::S3DestinationConfig] :s3_destination_config # Describes the destination Amazon Simple Storage Service (Amazon S3) # bucket name and key prefix for a recommendations 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][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/create-s3-bucket-policy-for-compute-optimizer.html # # @option params [String] :file_format # The format of the export file. # # The CSV file is the only export file format currently supported. # # @option params [Boolean] :include_member_accounts # If your account is the management account or the delegated # administrator of an organization, this parameter indicates whether to # include recommendations for resources in all member accounts of the # organization. # # The member accounts must also be opted in to Compute Optimizer, and # trusted access for Compute Optimizer must be enabled in the # organization account. For more information, see [Compute Optimizer and # Amazon Web Services Organizations trusted access][1] in the *Compute # Optimizer User Guide*. # # If this parameter is omitted, recommendations for member accounts of # the organization aren't included in the export file. # # If this parameter or the account ID parameter is omitted, # recommendations for member accounts aren't included in the export. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/security-iam.html#trusted-service-access # # @return [Types::ExportECSServiceRecommendationsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::ExportECSServiceRecommendationsResponse#job_id #job_id} => String # * {Types::ExportECSServiceRecommendationsResponse#s3_destination #s3_destination} => Types::S3Destination # # @example Request syntax with placeholder values # # resp = client.export_ecs_service_recommendations({ # account_ids: ["AccountId"], # filters: [ # { # name: "Finding", # accepts Finding, FindingReasonCode # values: ["FilterValue"], # }, # ], # fields_to_export: ["AccountId"], # accepts AccountId, ServiceArn, LookbackPeriodInDays, LastRefreshTimestamp, LaunchType, CurrentPerformanceRisk, CurrentServiceConfigurationMemory, CurrentServiceConfigurationCpu, CurrentServiceConfigurationTaskDefinitionArn, CurrentServiceConfigurationAutoScalingConfiguration, CurrentServiceContainerConfigurations, UtilizationMetricsCpuMaximum, UtilizationMetricsMemoryMaximum, Finding, FindingReasonCodes, RecommendationOptionsMemory, RecommendationOptionsCpu, RecommendationOptionsSavingsOpportunityPercentage, RecommendationOptionsEstimatedMonthlySavingsCurrency, RecommendationOptionsEstimatedMonthlySavingsValue, RecommendationOptionsContainerRecommendations, RecommendationOptionsProjectedUtilizationMetricsCpuMaximum, RecommendationOptionsProjectedUtilizationMetricsMemoryMaximum, Tags, EffectiveRecommendationPreferencesSavingsEstimationMode, RecommendationOptionsSavingsOpportunityAfterDiscountsPercentage, RecommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts, RecommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts # s3_destination_config: { # required # bucket: "DestinationBucket", # key_prefix: "DestinationKeyPrefix", # }, # file_format: "Csv", # accepts Csv # include_member_accounts: false, # }) # # @example Response structure # # resp.job_id #=> String # resp.s3_destination.bucket #=> String # resp.s3_destination.key #=> String # resp.s3_destination.metadata_key #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/ExportECSServiceRecommendations AWS API Documentation # # @overload export_ecs_service_recommendations(params = {}) # @param [Hash] params ({}) def export_ecs_service_recommendations(params = {}, options = {}) req = build_request(:export_ecs_service_recommendations, params) req.send_request(options) end # 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][1] # in the *Compute Optimizer User Guide*. # # You can have only one Lambda function export job in progress per # Amazon Web Services Region. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/exporting-recommendations.html # # @option params [Array] :account_ids # The IDs of the Amazon Web Services accounts for which to export Lambda # function recommendations. # # If your account is the management account of an organization, use this # parameter to specify the member account 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. # # @option params [Array] :filters # An array of objects to specify a filter that exports a more specific # set of Lambda function recommendations. # # @option params [Array] :fields_to_export # The recommendations data to include in the export file. For more # information about the fields that can be exported, see [Exported # files][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/exporting-recommendations.html#exported-files # # @option params [required, Types::S3DestinationConfig] :s3_destination_config # Describes the destination Amazon Simple Storage Service (Amazon S3) # bucket name and key prefix for a recommendations 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][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/create-s3-bucket-policy-for-compute-optimizer.html # # @option params [String] :file_format # The format of the export file. # # The only export file format currently supported is `Csv`. # # @option params [Boolean] :include_member_accounts # Indicates whether to include recommendations for resources in all # member accounts of the organization if your account is the management # account of an organization. # # The member accounts must also be opted in to Compute Optimizer, and # trusted access for Compute Optimizer must be enabled in the # organization account. For more information, see [Compute Optimizer and # Amazon Web Services Organizations trusted access][1] in the *Compute # Optimizer User Guide*. # # 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. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/security-iam.html#trusted-service-access # # @return [Types::ExportLambdaFunctionRecommendationsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::ExportLambdaFunctionRecommendationsResponse#job_id #job_id} => String # * {Types::ExportLambdaFunctionRecommendationsResponse#s3_destination #s3_destination} => Types::S3Destination # # @example Request syntax with placeholder values # # resp = client.export_lambda_function_recommendations({ # account_ids: ["AccountId"], # filters: [ # { # name: "Finding", # accepts Finding, FindingReasonCode # values: ["FilterValue"], # }, # ], # fields_to_export: ["AccountId"], # accepts AccountId, FunctionArn, FunctionVersion, Finding, FindingReasonCodes, NumberOfInvocations, UtilizationMetricsDurationMaximum, UtilizationMetricsDurationAverage, UtilizationMetricsMemoryMaximum, UtilizationMetricsMemoryAverage, LookbackPeriodInDays, CurrentConfigurationMemorySize, CurrentConfigurationTimeout, CurrentCostTotal, CurrentCostAverage, RecommendationOptionsConfigurationMemorySize, RecommendationOptionsCostLow, RecommendationOptionsCostHigh, RecommendationOptionsProjectedUtilizationMetricsDurationLowerBound, RecommendationOptionsProjectedUtilizationMetricsDurationUpperBound, RecommendationOptionsProjectedUtilizationMetricsDurationExpected, LastRefreshTimestamp, CurrentPerformanceRisk, RecommendationOptionsSavingsOpportunityPercentage, RecommendationOptionsEstimatedMonthlySavingsCurrency, RecommendationOptionsEstimatedMonthlySavingsValue, Tags, EffectiveRecommendationPreferencesSavingsEstimationMode, RecommendationOptionsSavingsOpportunityAfterDiscountsPercentage, RecommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts, RecommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts # s3_destination_config: { # required # bucket: "DestinationBucket", # key_prefix: "DestinationKeyPrefix", # }, # file_format: "Csv", # accepts Csv # include_member_accounts: false, # }) # # @example Response structure # # resp.job_id #=> String # resp.s3_destination.bucket #=> String # resp.s3_destination.key #=> String # resp.s3_destination.metadata_key #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/ExportLambdaFunctionRecommendations AWS API Documentation # # @overload export_lambda_function_recommendations(params = {}) # @param [Hash] params ({}) def export_lambda_function_recommendations(params = {}, options = {}) req = build_request(:export_lambda_function_recommendations, params) req.send_request(options) end # 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][1] in # the *Compute Optimizer User Guide*. # # You can have only one license export job in progress per Amazon Web # Services Region. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/exporting-recommendations.html # # @option params [Array] :account_ids # The IDs of the Amazon Web Services accounts for which to export # license recommendations. # # If your account is the management account of an organization, use this # parameter to specify the member account for which you want to export # recommendations. # # This parameter can't be specified together with the include member # accounts parameter. The parameters are mutually exclusive. # # If this parameter is omitted, recommendations for member accounts # aren't included in the export. # # You can specify multiple account IDs per request. # # @option params [Array] :filters # An array of objects to specify a filter that exports a more specific # set of license recommendations. # # @option params [Array] :fields_to_export # The recommendations data to include in the export file. For more # information about the fields that can be exported, see [Exported # files][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/exporting-recommendations.html#exported-files # # @option params [required, Types::S3DestinationConfig] :s3_destination_config # Describes the destination Amazon Simple Storage Service (Amazon S3) # bucket name and key prefix for a recommendations 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][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/create-s3-bucket-policy-for-compute-optimizer.html # # @option params [String] :file_format # The format of the export file. # # A CSV file is the only export format currently supported. # # @option params [Boolean] :include_member_accounts # Indicates whether to include recommendations for resources in all # member accounts of the organization if your account is the management # account of an organization. # # The member accounts must also be opted in to Compute Optimizer, and # trusted access for Compute Optimizer must be enabled in the # organization account. For more information, see [Compute Optimizer and # Amazon Web Services Organizations trusted access][1] in the *Compute # Optimizer User Guide*. # # If this parameter is omitted, recommendations for member accounts of # the organization aren't included in the export file . # # This parameter cannot be specified together with the account IDs # parameter. The parameters are mutually exclusive. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/security-iam.html#trusted-service-access # # @return [Types::ExportLicenseRecommendationsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::ExportLicenseRecommendationsResponse#job_id #job_id} => String # * {Types::ExportLicenseRecommendationsResponse#s3_destination #s3_destination} => Types::S3Destination # # @example Request syntax with placeholder values # # resp = client.export_license_recommendations({ # account_ids: ["AccountId"], # filters: [ # { # name: "Finding", # accepts Finding, FindingReasonCode, LicenseName # values: ["FilterValue"], # }, # ], # fields_to_export: ["AccountId"], # accepts AccountId, ResourceArn, LookbackPeriodInDays, LastRefreshTimestamp, Finding, FindingReasonCodes, CurrentLicenseConfigurationNumberOfCores, CurrentLicenseConfigurationInstanceType, CurrentLicenseConfigurationOperatingSystem, CurrentLicenseConfigurationLicenseName, CurrentLicenseConfigurationLicenseEdition, CurrentLicenseConfigurationLicenseModel, CurrentLicenseConfigurationLicenseVersion, CurrentLicenseConfigurationMetricsSource, RecommendationOptionsOperatingSystem, RecommendationOptionsLicenseEdition, RecommendationOptionsLicenseModel, RecommendationOptionsSavingsOpportunityPercentage, RecommendationOptionsEstimatedMonthlySavingsCurrency, RecommendationOptionsEstimatedMonthlySavingsValue, Tags # s3_destination_config: { # required # bucket: "DestinationBucket", # key_prefix: "DestinationKeyPrefix", # }, # file_format: "Csv", # accepts Csv # include_member_accounts: false, # }) # # @example Response structure # # resp.job_id #=> String # resp.s3_destination.bucket #=> String # resp.s3_destination.key #=> String # resp.s3_destination.metadata_key #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/ExportLicenseRecommendations AWS API Documentation # # @overload export_license_recommendations(params = {}) # @param [Hash] params ({}) def export_license_recommendations(params = {}, options = {}) req = build_request(:export_license_recommendations, params) req.send_request(options) end # Export optimization recommendations for your Amazon Relational # Database Service (Amazon RDS). # # 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][1] in # the *Compute Optimizer User Guide*. # # You can have only one Amazon RDS export job in progress per Amazon Web # Services Region. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/exporting-recommendations.html # # @option params [Array] :account_ids # The Amazon Web Services account IDs for the export Amazon RDS # recommendations. # # If your account is the management account or the delegated # administrator of an organization, use this parameter to specify the # member account you want to export recommendations to. # # This parameter can't be specified together with the include member # accounts parameter. The parameters are mutually exclusive. # # If this parameter or the include member accounts parameter is omitted, # the recommendations for member accounts aren't included in the # export. # # You can specify multiple account IDs per request. # # @option params [Array] :filters # An array of objects to specify a filter that exports a more specific # set of Amazon RDS recommendations. # # @option params [Array] :fields_to_export # The recommendations data to include in the export file. For more # information about the fields that can be exported, see [Exported # files][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/exporting-recommendations.html#exported-files # # @option params [required, Types::S3DestinationConfig] :s3_destination_config # Describes the destination Amazon Simple Storage Service (Amazon S3) # bucket name and key prefix for a recommendations 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][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/create-s3-bucket-policy-for-compute-optimizer.html # # @option params [String] :file_format # The format of the export file. # # The CSV file is the only export file format currently supported. # # @option params [Boolean] :include_member_accounts # If your account is the management account or the delegated # administrator of an organization, this parameter indicates whether to # include recommendations for resources in all member accounts of the # organization. # # The member accounts must also be opted in to Compute Optimizer, and # trusted access for Compute Optimizer must be enabled in the # organization account. For more information, see [Compute Optimizer and # Amazon Web Services Organizations trusted access][1] in the *Compute # Optimizer User Guide*. # # If this parameter is omitted, recommendations for member accounts of # the organization aren't included in the export file. # # If this parameter or the account ID parameter is omitted, # recommendations for member accounts aren't included in the export. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/security-iam.html#trusted-service-access # # @option params [Types::RecommendationPreferences] :recommendation_preferences # Describes the recommendation preferences to return in the response of # a GetAutoScalingGroupRecommendations, GetEC2InstanceRecommendations, # GetEC2RecommendationProjectedMetrics, GetRDSDatabaseRecommendations, # and GetRDSDatabaseRecommendationProjectedMetrics request. # # @return [Types::ExportRDSDatabaseRecommendationsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::ExportRDSDatabaseRecommendationsResponse#job_id #job_id} => String # * {Types::ExportRDSDatabaseRecommendationsResponse#s3_destination #s3_destination} => Types::S3Destination # # @example Request syntax with placeholder values # # resp = client.export_rds_database_recommendations({ # account_ids: ["AccountId"], # filters: [ # { # name: "InstanceFinding", # accepts InstanceFinding, InstanceFindingReasonCode, StorageFinding, StorageFindingReasonCode, Idle # values: ["FilterValue"], # }, # ], # fields_to_export: ["ResourceArn"], # accepts ResourceArn, AccountId, Engine, EngineVersion, Idle, MultiAZDBInstance, CurrentDBInstanceClass, CurrentStorageConfigurationStorageType, CurrentStorageConfigurationAllocatedStorage, CurrentStorageConfigurationMaxAllocatedStorage, CurrentStorageConfigurationIOPS, CurrentStorageConfigurationStorageThroughput, CurrentInstanceOnDemandHourlyPrice, CurrentStorageOnDemandMonthlyPrice, LookbackPeriodInDays, UtilizationMetricsCpuMaximum, UtilizationMetricsMemoryMaximum, UtilizationMetricsEBSVolumeStorageSpaceUtilizationMaximum, UtilizationMetricsNetworkReceiveThroughputMaximum, UtilizationMetricsNetworkTransmitThroughputMaximum, UtilizationMetricsEBSVolumeReadIOPSMaximum, UtilizationMetricsEBSVolumeWriteIOPSMaximum, UtilizationMetricsEBSVolumeReadThroughputMaximum, UtilizationMetricsEBSVolumeWriteThroughputMaximum, UtilizationMetricsDatabaseConnectionsMaximum, InstanceFinding, InstanceFindingReasonCodes, StorageFinding, StorageFindingReasonCodes, InstanceRecommendationOptionsDBInstanceClass, InstanceRecommendationOptionsRank, InstanceRecommendationOptionsPerformanceRisk, InstanceRecommendationOptionsProjectedUtilizationMetricsCpuMaximum, StorageRecommendationOptionsStorageType, StorageRecommendationOptionsAllocatedStorage, StorageRecommendationOptionsMaxAllocatedStorage, StorageRecommendationOptionsIOPS, StorageRecommendationOptionsStorageThroughput, StorageRecommendationOptionsRank, InstanceRecommendationOptionsInstanceOnDemandHourlyPrice, InstanceRecommendationOptionsSavingsOpportunityPercentage, InstanceRecommendationOptionsEstimatedMonthlySavingsCurrency, InstanceRecommendationOptionsEstimatedMonthlySavingsValue, InstanceRecommendationOptionsSavingsOpportunityAfterDiscountsPercentage, InstanceRecommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts, InstanceRecommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts, StorageRecommendationOptionsOnDemandMonthlyPrice, StorageRecommendationOptionsSavingsOpportunityPercentage, StorageRecommendationOptionsEstimatedMonthlySavingsCurrency, StorageRecommendationOptionsEstimatedMonthlySavingsValue, StorageRecommendationOptionsSavingsOpportunityAfterDiscountsPercentage, StorageRecommendationOptionsEstimatedMonthlySavingsCurrencyAfterDiscounts, StorageRecommendationOptionsEstimatedMonthlySavingsValueAfterDiscounts, EffectiveRecommendationPreferencesCpuVendorArchitectures, EffectiveRecommendationPreferencesEnhancedInfrastructureMetrics, EffectiveRecommendationPreferencesLookBackPeriod, EffectiveRecommendationPreferencesSavingsEstimationMode, LastRefreshTimestamp, Tags # s3_destination_config: { # required # bucket: "DestinationBucket", # key_prefix: "DestinationKeyPrefix", # }, # file_format: "Csv", # accepts Csv # include_member_accounts: false, # recommendation_preferences: { # cpu_vendor_architectures: ["AWS_ARM64"], # accepts AWS_ARM64, CURRENT # }, # }) # # @example Response structure # # resp.job_id #=> String # resp.s3_destination.bucket #=> String # resp.s3_destination.key #=> String # resp.s3_destination.metadata_key #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/ExportRDSDatabaseRecommendations AWS API Documentation # # @overload export_rds_database_recommendations(params = {}) # @param [Hash] params ({}) def export_rds_database_recommendations(params = {}, options = {}) req = build_request(:export_rds_database_recommendations, params) req.send_request(options) end # 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][1] in the # *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/requirements.html # # @option params [Array] :account_ids # The ID of the Amazon Web Services account for which to return Auto # Scaling group recommendations. # # If your account is the management account of an organization, use this # parameter to specify the member account for which you want to return # Auto Scaling group recommendations. # # Only one account ID can be specified per request. # # @option params [Array] :auto_scaling_group_arns # The Amazon Resource Name (ARN) of the Auto Scaling groups for which to # return recommendations. # # @option params [String] :next_token # The token to advance to the next page of Auto Scaling group # recommendations. # # @option params [Integer] :max_results # The maximum number of Auto Scaling group recommendations to return # with a single request. # # To retrieve the remaining results, make another request with the # returned `nextToken` value. # # @option params [Array] :filters # An array of objects to specify a filter that returns a more specific # list of Auto Scaling group recommendations. # # @option params [Types::RecommendationPreferences] :recommendation_preferences # An object to specify the preferences for the Auto Scaling group # recommendations to return in the response. # # @return [Types::GetAutoScalingGroupRecommendationsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetAutoScalingGroupRecommendationsResponse#next_token #next_token} => String # * {Types::GetAutoScalingGroupRecommendationsResponse#auto_scaling_group_recommendations #auto_scaling_group_recommendations} => Array<Types::AutoScalingGroupRecommendation> # * {Types::GetAutoScalingGroupRecommendationsResponse#errors #errors} => Array<Types::GetRecommendationError> # # @example Request syntax with placeholder values # # resp = client.get_auto_scaling_group_recommendations({ # account_ids: ["AccountId"], # auto_scaling_group_arns: ["AutoScalingGroupArn"], # next_token: "NextToken", # max_results: 1, # filters: [ # { # name: "Finding", # accepts Finding, FindingReasonCodes, RecommendationSourceType, InferredWorkloadTypes # values: ["FilterValue"], # }, # ], # recommendation_preferences: { # cpu_vendor_architectures: ["AWS_ARM64"], # accepts AWS_ARM64, CURRENT # }, # }) # # @example Response structure # # resp.next_token #=> String # resp.auto_scaling_group_recommendations #=> Array # resp.auto_scaling_group_recommendations[0].account_id #=> String # resp.auto_scaling_group_recommendations[0].auto_scaling_group_arn #=> String # resp.auto_scaling_group_recommendations[0].auto_scaling_group_name #=> String # resp.auto_scaling_group_recommendations[0].finding #=> String, one of "Underprovisioned", "Overprovisioned", "Optimized", "NotOptimized" # resp.auto_scaling_group_recommendations[0].utilization_metrics #=> Array # resp.auto_scaling_group_recommendations[0].utilization_metrics[0].name #=> String, one of "Cpu", "Memory", "EBS_READ_OPS_PER_SECOND", "EBS_WRITE_OPS_PER_SECOND", "EBS_READ_BYTES_PER_SECOND", "EBS_WRITE_BYTES_PER_SECOND", "DISK_READ_OPS_PER_SECOND", "DISK_WRITE_OPS_PER_SECOND", "DISK_READ_BYTES_PER_SECOND", "DISK_WRITE_BYTES_PER_SECOND", "NETWORK_IN_BYTES_PER_SECOND", "NETWORK_OUT_BYTES_PER_SECOND", "NETWORK_PACKETS_IN_PER_SECOND", "NETWORK_PACKETS_OUT_PER_SECOND", "GPU_PERCENTAGE", "GPU_MEMORY_PERCENTAGE" # resp.auto_scaling_group_recommendations[0].utilization_metrics[0].statistic #=> String, one of "Maximum", "Average" # resp.auto_scaling_group_recommendations[0].utilization_metrics[0].value #=> Float # resp.auto_scaling_group_recommendations[0].look_back_period_in_days #=> Float # resp.auto_scaling_group_recommendations[0].current_configuration.desired_capacity #=> Integer # resp.auto_scaling_group_recommendations[0].current_configuration.min_size #=> Integer # resp.auto_scaling_group_recommendations[0].current_configuration.max_size #=> Integer # resp.auto_scaling_group_recommendations[0].current_configuration.instance_type #=> String # resp.auto_scaling_group_recommendations[0].current_instance_gpu_info.gpus #=> Array # resp.auto_scaling_group_recommendations[0].current_instance_gpu_info.gpus[0].gpu_count #=> Integer # resp.auto_scaling_group_recommendations[0].current_instance_gpu_info.gpus[0].gpu_memory_size_in_mi_b #=> Integer # resp.auto_scaling_group_recommendations[0].recommendation_options #=> Array # resp.auto_scaling_group_recommendations[0].recommendation_options[0].configuration.desired_capacity #=> Integer # resp.auto_scaling_group_recommendations[0].recommendation_options[0].configuration.min_size #=> Integer # resp.auto_scaling_group_recommendations[0].recommendation_options[0].configuration.max_size #=> Integer # resp.auto_scaling_group_recommendations[0].recommendation_options[0].configuration.instance_type #=> String # resp.auto_scaling_group_recommendations[0].recommendation_options[0].instance_gpu_info.gpus #=> Array # resp.auto_scaling_group_recommendations[0].recommendation_options[0].instance_gpu_info.gpus[0].gpu_count #=> Integer # resp.auto_scaling_group_recommendations[0].recommendation_options[0].instance_gpu_info.gpus[0].gpu_memory_size_in_mi_b #=> Integer # resp.auto_scaling_group_recommendations[0].recommendation_options[0].projected_utilization_metrics #=> Array # resp.auto_scaling_group_recommendations[0].recommendation_options[0].projected_utilization_metrics[0].name #=> String, one of "Cpu", "Memory", "EBS_READ_OPS_PER_SECOND", "EBS_WRITE_OPS_PER_SECOND", "EBS_READ_BYTES_PER_SECOND", "EBS_WRITE_BYTES_PER_SECOND", "DISK_READ_OPS_PER_SECOND", "DISK_WRITE_OPS_PER_SECOND", "DISK_READ_BYTES_PER_SECOND", "DISK_WRITE_BYTES_PER_SECOND", "NETWORK_IN_BYTES_PER_SECOND", "NETWORK_OUT_BYTES_PER_SECOND", "NETWORK_PACKETS_IN_PER_SECOND", "NETWORK_PACKETS_OUT_PER_SECOND", "GPU_PERCENTAGE", "GPU_MEMORY_PERCENTAGE" # resp.auto_scaling_group_recommendations[0].recommendation_options[0].projected_utilization_metrics[0].statistic #=> String, one of "Maximum", "Average" # resp.auto_scaling_group_recommendations[0].recommendation_options[0].projected_utilization_metrics[0].value #=> Float # resp.auto_scaling_group_recommendations[0].recommendation_options[0].performance_risk #=> Float # resp.auto_scaling_group_recommendations[0].recommendation_options[0].rank #=> Integer # resp.auto_scaling_group_recommendations[0].recommendation_options[0].savings_opportunity.savings_opportunity_percentage #=> Float # resp.auto_scaling_group_recommendations[0].recommendation_options[0].savings_opportunity.estimated_monthly_savings.currency #=> String, one of "USD", "CNY" # resp.auto_scaling_group_recommendations[0].recommendation_options[0].savings_opportunity.estimated_monthly_savings.value #=> Float # resp.auto_scaling_group_recommendations[0].recommendation_options[0].savings_opportunity_after_discounts.savings_opportunity_percentage #=> Float # resp.auto_scaling_group_recommendations[0].recommendation_options[0].savings_opportunity_after_discounts.estimated_monthly_savings.currency #=> String, one of "USD", "CNY" # resp.auto_scaling_group_recommendations[0].recommendation_options[0].savings_opportunity_after_discounts.estimated_monthly_savings.value #=> Float # resp.auto_scaling_group_recommendations[0].recommendation_options[0].migration_effort #=> String, one of "VeryLow", "Low", "Medium", "High" # resp.auto_scaling_group_recommendations[0].last_refresh_timestamp #=> Time # resp.auto_scaling_group_recommendations[0].current_performance_risk #=> String, one of "VeryLow", "Low", "Medium", "High" # resp.auto_scaling_group_recommendations[0].effective_recommendation_preferences.cpu_vendor_architectures #=> Array # resp.auto_scaling_group_recommendations[0].effective_recommendation_preferences.cpu_vendor_architectures[0] #=> String, one of "AWS_ARM64", "CURRENT" # resp.auto_scaling_group_recommendations[0].effective_recommendation_preferences.enhanced_infrastructure_metrics #=> String, one of "Active", "Inactive" # resp.auto_scaling_group_recommendations[0].effective_recommendation_preferences.inferred_workload_types #=> String, one of "Active", "Inactive" # resp.auto_scaling_group_recommendations[0].effective_recommendation_preferences.external_metrics_preference.source #=> String, one of "Datadog", "Dynatrace", "NewRelic", "Instana" # resp.auto_scaling_group_recommendations[0].effective_recommendation_preferences.look_back_period #=> String, one of "DAYS_14", "DAYS_32", "DAYS_93" # resp.auto_scaling_group_recommendations[0].effective_recommendation_preferences.utilization_preferences #=> Array # resp.auto_scaling_group_recommendations[0].effective_recommendation_preferences.utilization_preferences[0].metric_name #=> String, one of "CpuUtilization", "MemoryUtilization" # resp.auto_scaling_group_recommendations[0].effective_recommendation_preferences.utilization_preferences[0].metric_parameters.threshold #=> String, one of "P90", "P95", "P99_5" # resp.auto_scaling_group_recommendations[0].effective_recommendation_preferences.utilization_preferences[0].metric_parameters.headroom #=> String, one of "PERCENT_30", "PERCENT_20", "PERCENT_10", "PERCENT_0" # resp.auto_scaling_group_recommendations[0].effective_recommendation_preferences.preferred_resources #=> Array # resp.auto_scaling_group_recommendations[0].effective_recommendation_preferences.preferred_resources[0].name #=> String, one of "Ec2InstanceTypes" # resp.auto_scaling_group_recommendations[0].effective_recommendation_preferences.preferred_resources[0].include_list #=> Array # resp.auto_scaling_group_recommendations[0].effective_recommendation_preferences.preferred_resources[0].include_list[0] #=> String # resp.auto_scaling_group_recommendations[0].effective_recommendation_preferences.preferred_resources[0].effective_include_list #=> Array # resp.auto_scaling_group_recommendations[0].effective_recommendation_preferences.preferred_resources[0].effective_include_list[0] #=> String # resp.auto_scaling_group_recommendations[0].effective_recommendation_preferences.preferred_resources[0].exclude_list #=> Array # resp.auto_scaling_group_recommendations[0].effective_recommendation_preferences.preferred_resources[0].exclude_list[0] #=> String # resp.auto_scaling_group_recommendations[0].effective_recommendation_preferences.savings_estimation_mode.source #=> String, one of "PublicPricing", "CostExplorerRightsizing", "CostOptimizationHub" # resp.auto_scaling_group_recommendations[0].inferred_workload_types #=> Array # resp.auto_scaling_group_recommendations[0].inferred_workload_types[0] #=> String, one of "AmazonEmr", "ApacheCassandra", "ApacheHadoop", "Memcached", "Nginx", "PostgreSql", "Redis", "Kafka", "SQLServer" # resp.errors #=> Array # resp.errors[0].identifier #=> String # resp.errors[0].code #=> String # resp.errors[0].message #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/GetAutoScalingGroupRecommendations AWS API Documentation # # @overload get_auto_scaling_group_recommendations(params = {}) # @param [Hash] params ({}) def get_auto_scaling_group_recommendations(params = {}, options = {}) req = build_request(:get_auto_scaling_group_recommendations, params) req.send_request(options) end # 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][1] in the *Compute # Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/requirements.html # # @option params [Array] :volume_arns # The Amazon Resource Name (ARN) of the volumes for which to return # recommendations. # # @option params [String] :next_token # The token to advance to the next page of volume recommendations. # # @option params [Integer] :max_results # The maximum number of volume recommendations to return with a single # request. # # To retrieve the remaining results, make another request with the # returned `nextToken` value. # # @option params [Array] :filters # An array of objects to specify a filter that returns a more specific # list of volume recommendations. # # @option params [Array] :account_ids # The ID of the Amazon Web Services account for which to return volume # recommendations. # # If your account is the management account of an organization, use this # parameter to specify the member account for which you want to return # volume recommendations. # # Only one account ID can be specified per request. # # @return [Types::GetEBSVolumeRecommendationsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetEBSVolumeRecommendationsResponse#next_token #next_token} => String # * {Types::GetEBSVolumeRecommendationsResponse#volume_recommendations #volume_recommendations} => Array<Types::VolumeRecommendation> # * {Types::GetEBSVolumeRecommendationsResponse#errors #errors} => Array<Types::GetRecommendationError> # # @example Request syntax with placeholder values # # resp = client.get_ebs_volume_recommendations({ # volume_arns: ["VolumeArn"], # next_token: "NextToken", # max_results: 1, # filters: [ # { # name: "Finding", # accepts Finding # values: ["FilterValue"], # }, # ], # account_ids: ["AccountId"], # }) # # @example Response structure # # resp.next_token #=> String # resp.volume_recommendations #=> Array # resp.volume_recommendations[0].volume_arn #=> String # resp.volume_recommendations[0].account_id #=> String # resp.volume_recommendations[0].current_configuration.volume_type #=> String # resp.volume_recommendations[0].current_configuration.volume_size #=> Integer # resp.volume_recommendations[0].current_configuration.volume_baseline_iops #=> Integer # resp.volume_recommendations[0].current_configuration.volume_burst_iops #=> Integer # resp.volume_recommendations[0].current_configuration.volume_baseline_throughput #=> Integer # resp.volume_recommendations[0].current_configuration.volume_burst_throughput #=> Integer # resp.volume_recommendations[0].current_configuration.root_volume #=> Boolean # resp.volume_recommendations[0].finding #=> String, one of "Optimized", "NotOptimized" # resp.volume_recommendations[0].utilization_metrics #=> Array # resp.volume_recommendations[0].utilization_metrics[0].name #=> String, one of "VolumeReadOpsPerSecond", "VolumeWriteOpsPerSecond", "VolumeReadBytesPerSecond", "VolumeWriteBytesPerSecond" # resp.volume_recommendations[0].utilization_metrics[0].statistic #=> String, one of "Maximum", "Average" # resp.volume_recommendations[0].utilization_metrics[0].value #=> Float # resp.volume_recommendations[0].look_back_period_in_days #=> Float # resp.volume_recommendations[0].volume_recommendation_options #=> Array # resp.volume_recommendations[0].volume_recommendation_options[0].configuration.volume_type #=> String # resp.volume_recommendations[0].volume_recommendation_options[0].configuration.volume_size #=> Integer # resp.volume_recommendations[0].volume_recommendation_options[0].configuration.volume_baseline_iops #=> Integer # resp.volume_recommendations[0].volume_recommendation_options[0].configuration.volume_burst_iops #=> Integer # resp.volume_recommendations[0].volume_recommendation_options[0].configuration.volume_baseline_throughput #=> Integer # resp.volume_recommendations[0].volume_recommendation_options[0].configuration.volume_burst_throughput #=> Integer # resp.volume_recommendations[0].volume_recommendation_options[0].configuration.root_volume #=> Boolean # resp.volume_recommendations[0].volume_recommendation_options[0].performance_risk #=> Float # resp.volume_recommendations[0].volume_recommendation_options[0].rank #=> Integer # resp.volume_recommendations[0].volume_recommendation_options[0].savings_opportunity.savings_opportunity_percentage #=> Float # resp.volume_recommendations[0].volume_recommendation_options[0].savings_opportunity.estimated_monthly_savings.currency #=> String, one of "USD", "CNY" # resp.volume_recommendations[0].volume_recommendation_options[0].savings_opportunity.estimated_monthly_savings.value #=> Float # resp.volume_recommendations[0].volume_recommendation_options[0].savings_opportunity_after_discounts.savings_opportunity_percentage #=> Float # resp.volume_recommendations[0].volume_recommendation_options[0].savings_opportunity_after_discounts.estimated_monthly_savings.currency #=> String, one of "USD", "CNY" # resp.volume_recommendations[0].volume_recommendation_options[0].savings_opportunity_after_discounts.estimated_monthly_savings.value #=> Float # resp.volume_recommendations[0].last_refresh_timestamp #=> Time # resp.volume_recommendations[0].current_performance_risk #=> String, one of "VeryLow", "Low", "Medium", "High" # resp.volume_recommendations[0].effective_recommendation_preferences.savings_estimation_mode.source #=> String, one of "PublicPricing", "CostExplorerRightsizing", "CostOptimizationHub" # resp.volume_recommendations[0].tags #=> Array # resp.volume_recommendations[0].tags[0].key #=> String # resp.volume_recommendations[0].tags[0].value #=> String # resp.errors #=> Array # resp.errors[0].identifier #=> String # resp.errors[0].code #=> String # resp.errors[0].message #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/GetEBSVolumeRecommendations AWS API Documentation # # @overload get_ebs_volume_recommendations(params = {}) # @param [Hash] params ({}) def get_ebs_volume_recommendations(params = {}, options = {}) req = build_request(:get_ebs_volume_recommendations, params) req.send_request(options) end # 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][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/requirements.html # # @option params [Array] :instance_arns # The Amazon Resource Name (ARN) of the instances for which to return # recommendations. # # @option params [String] :next_token # The token to advance to the next page of instance recommendations. # # @option params [Integer] :max_results # The maximum number of instance recommendations to return with a single # request. # # To retrieve the remaining results, make another request with the # returned `nextToken` value. # # @option params [Array] :filters # An array of objects to specify a filter that returns a more specific # list of instance recommendations. # # @option params [Array] :account_ids # The ID of the Amazon Web Services account for which to return instance # recommendations. # # If your account is the management account of an organization, use this # parameter to specify the member account for which you want to return # instance recommendations. # # Only one account ID can be specified per request. # # @option params [Types::RecommendationPreferences] :recommendation_preferences # An object to specify the preferences for the Amazon EC2 instance # recommendations to return in the response. # # @return [Types::GetEC2InstanceRecommendationsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetEC2InstanceRecommendationsResponse#next_token #next_token} => String # * {Types::GetEC2InstanceRecommendationsResponse#instance_recommendations #instance_recommendations} => Array<Types::InstanceRecommendation> # * {Types::GetEC2InstanceRecommendationsResponse#errors #errors} => Array<Types::GetRecommendationError> # # @example Request syntax with placeholder values # # resp = client.get_ec2_instance_recommendations({ # instance_arns: ["InstanceArn"], # next_token: "NextToken", # max_results: 1, # filters: [ # { # name: "Finding", # accepts Finding, FindingReasonCodes, RecommendationSourceType, InferredWorkloadTypes # values: ["FilterValue"], # }, # ], # account_ids: ["AccountId"], # recommendation_preferences: { # cpu_vendor_architectures: ["AWS_ARM64"], # accepts AWS_ARM64, CURRENT # }, # }) # # @example Response structure # # resp.next_token #=> String # resp.instance_recommendations #=> Array # resp.instance_recommendations[0].instance_arn #=> String # resp.instance_recommendations[0].account_id #=> String # resp.instance_recommendations[0].instance_name #=> String # resp.instance_recommendations[0].current_instance_type #=> String # resp.instance_recommendations[0].finding #=> String, one of "Underprovisioned", "Overprovisioned", "Optimized", "NotOptimized" # resp.instance_recommendations[0].finding_reason_codes #=> Array # resp.instance_recommendations[0].finding_reason_codes[0] #=> String, one of "CPUOverprovisioned", "CPUUnderprovisioned", "MemoryOverprovisioned", "MemoryUnderprovisioned", "EBSThroughputOverprovisioned", "EBSThroughputUnderprovisioned", "EBSIOPSOverprovisioned", "EBSIOPSUnderprovisioned", "NetworkBandwidthOverprovisioned", "NetworkBandwidthUnderprovisioned", "NetworkPPSOverprovisioned", "NetworkPPSUnderprovisioned", "DiskIOPSOverprovisioned", "DiskIOPSUnderprovisioned", "DiskThroughputOverprovisioned", "DiskThroughputUnderprovisioned", "GPUUnderprovisioned", "GPUOverprovisioned", "GPUMemoryUnderprovisioned", "GPUMemoryOverprovisioned" # resp.instance_recommendations[0].utilization_metrics #=> Array # resp.instance_recommendations[0].utilization_metrics[0].name #=> String, one of "Cpu", "Memory", "EBS_READ_OPS_PER_SECOND", "EBS_WRITE_OPS_PER_SECOND", "EBS_READ_BYTES_PER_SECOND", "EBS_WRITE_BYTES_PER_SECOND", "DISK_READ_OPS_PER_SECOND", "DISK_WRITE_OPS_PER_SECOND", "DISK_READ_BYTES_PER_SECOND", "DISK_WRITE_BYTES_PER_SECOND", "NETWORK_IN_BYTES_PER_SECOND", "NETWORK_OUT_BYTES_PER_SECOND", "NETWORK_PACKETS_IN_PER_SECOND", "NETWORK_PACKETS_OUT_PER_SECOND", "GPU_PERCENTAGE", "GPU_MEMORY_PERCENTAGE" # resp.instance_recommendations[0].utilization_metrics[0].statistic #=> String, one of "Maximum", "Average" # resp.instance_recommendations[0].utilization_metrics[0].value #=> Float # resp.instance_recommendations[0].look_back_period_in_days #=> Float # resp.instance_recommendations[0].recommendation_options #=> Array # resp.instance_recommendations[0].recommendation_options[0].instance_type #=> String # resp.instance_recommendations[0].recommendation_options[0].instance_gpu_info.gpus #=> Array # resp.instance_recommendations[0].recommendation_options[0].instance_gpu_info.gpus[0].gpu_count #=> Integer # resp.instance_recommendations[0].recommendation_options[0].instance_gpu_info.gpus[0].gpu_memory_size_in_mi_b #=> Integer # resp.instance_recommendations[0].recommendation_options[0].projected_utilization_metrics #=> Array # resp.instance_recommendations[0].recommendation_options[0].projected_utilization_metrics[0].name #=> String, one of "Cpu", "Memory", "EBS_READ_OPS_PER_SECOND", "EBS_WRITE_OPS_PER_SECOND", "EBS_READ_BYTES_PER_SECOND", "EBS_WRITE_BYTES_PER_SECOND", "DISK_READ_OPS_PER_SECOND", "DISK_WRITE_OPS_PER_SECOND", "DISK_READ_BYTES_PER_SECOND", "DISK_WRITE_BYTES_PER_SECOND", "NETWORK_IN_BYTES_PER_SECOND", "NETWORK_OUT_BYTES_PER_SECOND", "NETWORK_PACKETS_IN_PER_SECOND", "NETWORK_PACKETS_OUT_PER_SECOND", "GPU_PERCENTAGE", "GPU_MEMORY_PERCENTAGE" # resp.instance_recommendations[0].recommendation_options[0].projected_utilization_metrics[0].statistic #=> String, one of "Maximum", "Average" # resp.instance_recommendations[0].recommendation_options[0].projected_utilization_metrics[0].value #=> Float # resp.instance_recommendations[0].recommendation_options[0].platform_differences #=> Array # resp.instance_recommendations[0].recommendation_options[0].platform_differences[0] #=> String, one of "Hypervisor", "NetworkInterface", "StorageInterface", "InstanceStoreAvailability", "VirtualizationType", "Architecture" # resp.instance_recommendations[0].recommendation_options[0].performance_risk #=> Float # resp.instance_recommendations[0].recommendation_options[0].rank #=> Integer # resp.instance_recommendations[0].recommendation_options[0].savings_opportunity.savings_opportunity_percentage #=> Float # resp.instance_recommendations[0].recommendation_options[0].savings_opportunity.estimated_monthly_savings.currency #=> String, one of "USD", "CNY" # resp.instance_recommendations[0].recommendation_options[0].savings_opportunity.estimated_monthly_savings.value #=> Float # resp.instance_recommendations[0].recommendation_options[0].savings_opportunity_after_discounts.savings_opportunity_percentage #=> Float # resp.instance_recommendations[0].recommendation_options[0].savings_opportunity_after_discounts.estimated_monthly_savings.currency #=> String, one of "USD", "CNY" # resp.instance_recommendations[0].recommendation_options[0].savings_opportunity_after_discounts.estimated_monthly_savings.value #=> Float # resp.instance_recommendations[0].recommendation_options[0].migration_effort #=> String, one of "VeryLow", "Low", "Medium", "High" # resp.instance_recommendations[0].recommendation_sources #=> Array # resp.instance_recommendations[0].recommendation_sources[0].recommendation_source_arn #=> String # resp.instance_recommendations[0].recommendation_sources[0].recommendation_source_type #=> String, one of "Ec2Instance", "AutoScalingGroup", "EbsVolume", "LambdaFunction", "EcsService", "License", "RdsDBInstance", "RdsDBInstanceStorage" # resp.instance_recommendations[0].last_refresh_timestamp #=> Time # resp.instance_recommendations[0].current_performance_risk #=> String, one of "VeryLow", "Low", "Medium", "High" # resp.instance_recommendations[0].effective_recommendation_preferences.cpu_vendor_architectures #=> Array # resp.instance_recommendations[0].effective_recommendation_preferences.cpu_vendor_architectures[0] #=> String, one of "AWS_ARM64", "CURRENT" # resp.instance_recommendations[0].effective_recommendation_preferences.enhanced_infrastructure_metrics #=> String, one of "Active", "Inactive" # resp.instance_recommendations[0].effective_recommendation_preferences.inferred_workload_types #=> String, one of "Active", "Inactive" # resp.instance_recommendations[0].effective_recommendation_preferences.external_metrics_preference.source #=> String, one of "Datadog", "Dynatrace", "NewRelic", "Instana" # resp.instance_recommendations[0].effective_recommendation_preferences.look_back_period #=> String, one of "DAYS_14", "DAYS_32", "DAYS_93" # resp.instance_recommendations[0].effective_recommendation_preferences.utilization_preferences #=> Array # resp.instance_recommendations[0].effective_recommendation_preferences.utilization_preferences[0].metric_name #=> String, one of "CpuUtilization", "MemoryUtilization" # resp.instance_recommendations[0].effective_recommendation_preferences.utilization_preferences[0].metric_parameters.threshold #=> String, one of "P90", "P95", "P99_5" # resp.instance_recommendations[0].effective_recommendation_preferences.utilization_preferences[0].metric_parameters.headroom #=> String, one of "PERCENT_30", "PERCENT_20", "PERCENT_10", "PERCENT_0" # resp.instance_recommendations[0].effective_recommendation_preferences.preferred_resources #=> Array # resp.instance_recommendations[0].effective_recommendation_preferences.preferred_resources[0].name #=> String, one of "Ec2InstanceTypes" # resp.instance_recommendations[0].effective_recommendation_preferences.preferred_resources[0].include_list #=> Array # resp.instance_recommendations[0].effective_recommendation_preferences.preferred_resources[0].include_list[0] #=> String # resp.instance_recommendations[0].effective_recommendation_preferences.preferred_resources[0].effective_include_list #=> Array # resp.instance_recommendations[0].effective_recommendation_preferences.preferred_resources[0].effective_include_list[0] #=> String # resp.instance_recommendations[0].effective_recommendation_preferences.preferred_resources[0].exclude_list #=> Array # resp.instance_recommendations[0].effective_recommendation_preferences.preferred_resources[0].exclude_list[0] #=> String # resp.instance_recommendations[0].effective_recommendation_preferences.savings_estimation_mode.source #=> String, one of "PublicPricing", "CostExplorerRightsizing", "CostOptimizationHub" # resp.instance_recommendations[0].inferred_workload_types #=> Array # resp.instance_recommendations[0].inferred_workload_types[0] #=> String, one of "AmazonEmr", "ApacheCassandra", "ApacheHadoop", "Memcached", "Nginx", "PostgreSql", "Redis", "Kafka", "SQLServer" # resp.instance_recommendations[0].instance_state #=> String, one of "pending", "running", "shutting-down", "terminated", "stopping", "stopped" # resp.instance_recommendations[0].tags #=> Array # resp.instance_recommendations[0].tags[0].key #=> String # resp.instance_recommendations[0].tags[0].value #=> String # resp.instance_recommendations[0].external_metric_status.status_code #=> String, one of "NO_EXTERNAL_METRIC_SET", "INTEGRATION_SUCCESS", "DATADOG_INTEGRATION_ERROR", "DYNATRACE_INTEGRATION_ERROR", "NEWRELIC_INTEGRATION_ERROR", "INSTANA_INTEGRATION_ERROR", "INSUFFICIENT_DATADOG_METRICS", "INSUFFICIENT_DYNATRACE_METRICS", "INSUFFICIENT_NEWRELIC_METRICS", "INSUFFICIENT_INSTANA_METRICS" # resp.instance_recommendations[0].external_metric_status.status_reason #=> String # resp.instance_recommendations[0].current_instance_gpu_info.gpus #=> Array # resp.instance_recommendations[0].current_instance_gpu_info.gpus[0].gpu_count #=> Integer # resp.instance_recommendations[0].current_instance_gpu_info.gpus[0].gpu_memory_size_in_mi_b #=> Integer # resp.instance_recommendations[0].idle #=> String, one of "True", "False" # resp.errors #=> Array # resp.errors[0].identifier #=> String # resp.errors[0].code #=> String # resp.errors[0].message #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/GetEC2InstanceRecommendations AWS API Documentation # # @overload get_ec2_instance_recommendations(params = {}) # @param [Hash] params ({}) def get_ec2_instance_recommendations(params = {}, options = {}) req = build_request(:get_ec2_instance_recommendations, params) req.send_request(options) end # 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][1]. # # # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/metrics.html#cw-agent # # @option params [required, String] :instance_arn # The Amazon Resource Name (ARN) of the instances for which to return # recommendation projected metrics. # # @option params [required, String] :stat # The statistic of the projected metrics. # # @option params [required, Integer] :period # The granularity, in seconds, of the projected metrics data points. # # @option params [required, Time,DateTime,Date,Integer,String] :start_time # The timestamp of the first projected metrics data point to return. # # @option params [required, Time,DateTime,Date,Integer,String] :end_time # The timestamp of the last projected metrics data point to return. # # @option params [Types::RecommendationPreferences] :recommendation_preferences # An object to specify the preferences for the Amazon EC2 recommendation # projected metrics to return in the response. # # @return [Types::GetEC2RecommendationProjectedMetricsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetEC2RecommendationProjectedMetricsResponse#recommended_option_projected_metrics #recommended_option_projected_metrics} => Array<Types::RecommendedOptionProjectedMetric> # # @example Request syntax with placeholder values # # resp = client.get_ec2_recommendation_projected_metrics({ # instance_arn: "InstanceArn", # required # stat: "Maximum", # required, accepts Maximum, Average # period: 1, # required # start_time: Time.now, # required # end_time: Time.now, # required # recommendation_preferences: { # cpu_vendor_architectures: ["AWS_ARM64"], # accepts AWS_ARM64, CURRENT # }, # }) # # @example Response structure # # resp.recommended_option_projected_metrics #=> Array # resp.recommended_option_projected_metrics[0].recommended_instance_type #=> String # resp.recommended_option_projected_metrics[0].rank #=> Integer # resp.recommended_option_projected_metrics[0].projected_metrics #=> Array # resp.recommended_option_projected_metrics[0].projected_metrics[0].name #=> String, one of "Cpu", "Memory", "EBS_READ_OPS_PER_SECOND", "EBS_WRITE_OPS_PER_SECOND", "EBS_READ_BYTES_PER_SECOND", "EBS_WRITE_BYTES_PER_SECOND", "DISK_READ_OPS_PER_SECOND", "DISK_WRITE_OPS_PER_SECOND", "DISK_READ_BYTES_PER_SECOND", "DISK_WRITE_BYTES_PER_SECOND", "NETWORK_IN_BYTES_PER_SECOND", "NETWORK_OUT_BYTES_PER_SECOND", "NETWORK_PACKETS_IN_PER_SECOND", "NETWORK_PACKETS_OUT_PER_SECOND", "GPU_PERCENTAGE", "GPU_MEMORY_PERCENTAGE" # resp.recommended_option_projected_metrics[0].projected_metrics[0].timestamps #=> Array # resp.recommended_option_projected_metrics[0].projected_metrics[0].timestamps[0] #=> Time # resp.recommended_option_projected_metrics[0].projected_metrics[0].values #=> Array # resp.recommended_option_projected_metrics[0].projected_metrics[0].values[0] #=> Float # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/GetEC2RecommendationProjectedMetrics AWS API Documentation # # @overload get_ec2_recommendation_projected_metrics(params = {}) # @param [Hash] params ({}) def get_ec2_recommendation_projected_metrics(params = {}, options = {}) req = build_request(:get_ec2_recommendation_projected_metrics, params) req.send_request(options) end # Returns the projected metrics of Amazon ECS service recommendations. # # @option params [required, String] :service_arn # The ARN that identifies the Amazon ECS service. # # The following is the format of the ARN: # # `arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name` # # @option params [required, String] :stat # The statistic of the projected metrics. # # @option params [required, Integer] :period # The granularity, in seconds, of the projected metrics data points. # # @option params [required, Time,DateTime,Date,Integer,String] :start_time # The timestamp of the first projected metrics data point to return. # # @option params [required, Time,DateTime,Date,Integer,String] :end_time # The timestamp of the last projected metrics data point to return. # # @return [Types::GetECSServiceRecommendationProjectedMetricsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetECSServiceRecommendationProjectedMetricsResponse#recommended_option_projected_metrics #recommended_option_projected_metrics} => Array<Types::ECSServiceRecommendedOptionProjectedMetric> # # @example Request syntax with placeholder values # # resp = client.get_ecs_service_recommendation_projected_metrics({ # service_arn: "ServiceArn", # required # stat: "Maximum", # required, accepts Maximum, Average # period: 1, # required # start_time: Time.now, # required # end_time: Time.now, # required # }) # # @example Response structure # # resp.recommended_option_projected_metrics #=> Array # resp.recommended_option_projected_metrics[0].recommended_cpu_units #=> Integer # resp.recommended_option_projected_metrics[0].recommended_memory_size #=> Integer # resp.recommended_option_projected_metrics[0].projected_metrics #=> Array # resp.recommended_option_projected_metrics[0].projected_metrics[0].name #=> String, one of "Cpu", "Memory" # resp.recommended_option_projected_metrics[0].projected_metrics[0].timestamps #=> Array # resp.recommended_option_projected_metrics[0].projected_metrics[0].timestamps[0] #=> Time # resp.recommended_option_projected_metrics[0].projected_metrics[0].upper_bound_values #=> Array # resp.recommended_option_projected_metrics[0].projected_metrics[0].upper_bound_values[0] #=> Float # resp.recommended_option_projected_metrics[0].projected_metrics[0].lower_bound_values #=> Array # resp.recommended_option_projected_metrics[0].projected_metrics[0].lower_bound_values[0] #=> Float # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/GetECSServiceRecommendationProjectedMetrics AWS API Documentation # # @overload get_ecs_service_recommendation_projected_metrics(params = {}) # @param [Hash] params ({}) def get_ecs_service_recommendation_projected_metrics(params = {}, options = {}) req = build_request(:get_ecs_service_recommendation_projected_metrics, params) req.send_request(options) end # 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][1] in the # *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/requirements.html # # @option params [Array] :service_arns # The ARN that identifies the Amazon ECS service. # # The following is the format of the ARN: # # `arn:aws:ecs:region:aws_account_id:service/cluster-name/service-name` # # @option params [String] :next_token # The token to advance to the next page of Amazon ECS service # recommendations. # # @option params [Integer] :max_results # The maximum number of Amazon ECS service recommendations to return # with a single request. # # To retrieve the remaining results, make another request with the # returned `nextToken` value. # # @option params [Array] :filters # An array of objects to specify a filter that returns a more specific # list of Amazon ECS service recommendations. # # @option params [Array] :account_ids # Return the Amazon ECS service recommendations to the specified Amazon # Web Services account IDs. # # If your account is the management account or the delegated # administrator of an organization, use this parameter to return the # Amazon ECS service recommendations to specific member accounts. # # You can only specify one account ID per request. # # @return [Types::GetECSServiceRecommendationsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetECSServiceRecommendationsResponse#next_token #next_token} => String # * {Types::GetECSServiceRecommendationsResponse#ecs_service_recommendations #ecs_service_recommendations} => Array<Types::ECSServiceRecommendation> # * {Types::GetECSServiceRecommendationsResponse#errors #errors} => Array<Types::GetRecommendationError> # # @example Request syntax with placeholder values # # resp = client.get_ecs_service_recommendations({ # service_arns: ["ServiceArn"], # next_token: "NextToken", # max_results: 1, # filters: [ # { # name: "Finding", # accepts Finding, FindingReasonCode # values: ["FilterValue"], # }, # ], # account_ids: ["AccountId"], # }) # # @example Response structure # # resp.next_token #=> String # resp.ecs_service_recommendations #=> Array # resp.ecs_service_recommendations[0].service_arn #=> String # resp.ecs_service_recommendations[0].account_id #=> String # resp.ecs_service_recommendations[0].current_service_configuration.memory #=> Integer # resp.ecs_service_recommendations[0].current_service_configuration.cpu #=> Integer # resp.ecs_service_recommendations[0].current_service_configuration.container_configurations #=> Array # resp.ecs_service_recommendations[0].current_service_configuration.container_configurations[0].container_name #=> String # resp.ecs_service_recommendations[0].current_service_configuration.container_configurations[0].memory_size_configuration.memory #=> Integer # resp.ecs_service_recommendations[0].current_service_configuration.container_configurations[0].memory_size_configuration.memory_reservation #=> Integer # resp.ecs_service_recommendations[0].current_service_configuration.container_configurations[0].cpu #=> Integer # resp.ecs_service_recommendations[0].current_service_configuration.auto_scaling_configuration #=> String, one of "TargetTrackingScalingCpu", "TargetTrackingScalingMemory" # resp.ecs_service_recommendations[0].current_service_configuration.task_definition_arn #=> String # resp.ecs_service_recommendations[0].utilization_metrics #=> Array # resp.ecs_service_recommendations[0].utilization_metrics[0].name #=> String, one of "Cpu", "Memory" # resp.ecs_service_recommendations[0].utilization_metrics[0].statistic #=> String, one of "Maximum", "Average" # resp.ecs_service_recommendations[0].utilization_metrics[0].value #=> Float # resp.ecs_service_recommendations[0].lookback_period_in_days #=> Float # resp.ecs_service_recommendations[0].launch_type #=> String, one of "EC2", "Fargate" # resp.ecs_service_recommendations[0].last_refresh_timestamp #=> Time # resp.ecs_service_recommendations[0].finding #=> String, one of "Optimized", "Underprovisioned", "Overprovisioned" # resp.ecs_service_recommendations[0].finding_reason_codes #=> Array # resp.ecs_service_recommendations[0].finding_reason_codes[0] #=> String, one of "MemoryOverprovisioned", "MemoryUnderprovisioned", "CPUOverprovisioned", "CPUUnderprovisioned" # resp.ecs_service_recommendations[0].service_recommendation_options #=> Array # resp.ecs_service_recommendations[0].service_recommendation_options[0].memory #=> Integer # resp.ecs_service_recommendations[0].service_recommendation_options[0].cpu #=> Integer # resp.ecs_service_recommendations[0].service_recommendation_options[0].savings_opportunity.savings_opportunity_percentage #=> Float # resp.ecs_service_recommendations[0].service_recommendation_options[0].savings_opportunity.estimated_monthly_savings.currency #=> String, one of "USD", "CNY" # resp.ecs_service_recommendations[0].service_recommendation_options[0].savings_opportunity.estimated_monthly_savings.value #=> Float # resp.ecs_service_recommendations[0].service_recommendation_options[0].savings_opportunity_after_discounts.savings_opportunity_percentage #=> Float # resp.ecs_service_recommendations[0].service_recommendation_options[0].savings_opportunity_after_discounts.estimated_monthly_savings.currency #=> String, one of "USD", "CNY" # resp.ecs_service_recommendations[0].service_recommendation_options[0].savings_opportunity_after_discounts.estimated_monthly_savings.value #=> Float # resp.ecs_service_recommendations[0].service_recommendation_options[0].projected_utilization_metrics #=> Array # resp.ecs_service_recommendations[0].service_recommendation_options[0].projected_utilization_metrics[0].name #=> String, one of "Cpu", "Memory" # resp.ecs_service_recommendations[0].service_recommendation_options[0].projected_utilization_metrics[0].statistic #=> String, one of "Maximum", "Average" # resp.ecs_service_recommendations[0].service_recommendation_options[0].projected_utilization_metrics[0].lower_bound_value #=> Float # resp.ecs_service_recommendations[0].service_recommendation_options[0].projected_utilization_metrics[0].upper_bound_value #=> Float # resp.ecs_service_recommendations[0].service_recommendation_options[0].container_recommendations #=> Array # resp.ecs_service_recommendations[0].service_recommendation_options[0].container_recommendations[0].container_name #=> String # resp.ecs_service_recommendations[0].service_recommendation_options[0].container_recommendations[0].memory_size_configuration.memory #=> Integer # resp.ecs_service_recommendations[0].service_recommendation_options[0].container_recommendations[0].memory_size_configuration.memory_reservation #=> Integer # resp.ecs_service_recommendations[0].service_recommendation_options[0].container_recommendations[0].cpu #=> Integer # resp.ecs_service_recommendations[0].current_performance_risk #=> String, one of "VeryLow", "Low", "Medium", "High" # resp.ecs_service_recommendations[0].effective_recommendation_preferences.savings_estimation_mode.source #=> String, one of "PublicPricing", "CostExplorerRightsizing", "CostOptimizationHub" # resp.ecs_service_recommendations[0].tags #=> Array # resp.ecs_service_recommendations[0].tags[0].key #=> String # resp.ecs_service_recommendations[0].tags[0].value #=> String # resp.errors #=> Array # resp.errors[0].identifier #=> String # resp.errors[0].code #=> String # resp.errors[0].message #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/GetECSServiceRecommendations AWS API Documentation # # @overload get_ecs_service_recommendations(params = {}) # @param [Hash] params ({}) def get_ecs_service_recommendations(params = {}, options = {}) req = build_request(:get_ecs_service_recommendations, params) req.send_request(options) end # 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`. # # @option params [required, String] :resource_arn # The Amazon Resource Name (ARN) of the resource for which to confirm # effective recommendation preferences. Only EC2 instance and Auto # Scaling group ARNs are currently supported. # # @return [Types::GetEffectiveRecommendationPreferencesResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetEffectiveRecommendationPreferencesResponse#enhanced_infrastructure_metrics #enhanced_infrastructure_metrics} => String # * {Types::GetEffectiveRecommendationPreferencesResponse#external_metrics_preference #external_metrics_preference} => Types::ExternalMetricsPreference # * {Types::GetEffectiveRecommendationPreferencesResponse#look_back_period #look_back_period} => String # * {Types::GetEffectiveRecommendationPreferencesResponse#utilization_preferences #utilization_preferences} => Array<Types::UtilizationPreference> # * {Types::GetEffectiveRecommendationPreferencesResponse#preferred_resources #preferred_resources} => Array<Types::EffectivePreferredResource> # # @example Request syntax with placeholder values # # resp = client.get_effective_recommendation_preferences({ # resource_arn: "ResourceArn", # required # }) # # @example Response structure # # resp.enhanced_infrastructure_metrics #=> String, one of "Active", "Inactive" # resp.external_metrics_preference.source #=> String, one of "Datadog", "Dynatrace", "NewRelic", "Instana" # resp.look_back_period #=> String, one of "DAYS_14", "DAYS_32", "DAYS_93" # resp.utilization_preferences #=> Array # resp.utilization_preferences[0].metric_name #=> String, one of "CpuUtilization", "MemoryUtilization" # resp.utilization_preferences[0].metric_parameters.threshold #=> String, one of "P90", "P95", "P99_5" # resp.utilization_preferences[0].metric_parameters.headroom #=> String, one of "PERCENT_30", "PERCENT_20", "PERCENT_10", "PERCENT_0" # resp.preferred_resources #=> Array # resp.preferred_resources[0].name #=> String, one of "Ec2InstanceTypes" # resp.preferred_resources[0].include_list #=> Array # resp.preferred_resources[0].include_list[0] #=> String # resp.preferred_resources[0].effective_include_list #=> Array # resp.preferred_resources[0].effective_include_list[0] #=> String # resp.preferred_resources[0].exclude_list #=> Array # resp.preferred_resources[0].exclude_list[0] #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/GetEffectiveRecommendationPreferences AWS API Documentation # # @overload get_effective_recommendation_preferences(params = {}) # @param [Hash] params ({}) def get_effective_recommendation_preferences(params = {}, options = {}) req = build_request(:get_effective_recommendation_preferences, params) req.send_request(options) end # 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. # # @return [Types::GetEnrollmentStatusResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetEnrollmentStatusResponse#status #status} => String # * {Types::GetEnrollmentStatusResponse#status_reason #status_reason} => String # * {Types::GetEnrollmentStatusResponse#member_accounts_enrolled #member_accounts_enrolled} => Boolean # * {Types::GetEnrollmentStatusResponse#last_updated_timestamp #last_updated_timestamp} => Time # * {Types::GetEnrollmentStatusResponse#number_of_member_accounts_opted_in #number_of_member_accounts_opted_in} => Integer # # @example Response structure # # resp.status #=> String, one of "Active", "Inactive", "Pending", "Failed" # resp.status_reason #=> String # resp.member_accounts_enrolled #=> Boolean # resp.last_updated_timestamp #=> Time # resp.number_of_member_accounts_opted_in #=> Integer # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/GetEnrollmentStatus AWS API Documentation # # @overload get_enrollment_status(params = {}) # @param [Hash] params ({}) def get_enrollment_status(params = {}, options = {}) req = build_request(:get_enrollment_status, params) req.send_request(options) end # 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. # # @option params [Array] :filters # An array of objects to specify a filter that returns a more specific # list of account enrollment statuses. # # @option params [String] :next_token # The token to advance to the next page of account enrollment statuses. # # @option params [Integer] :max_results # The maximum number of account enrollment statuses to return with a # single request. You can specify up to 100 statuses to return with each # request. # # To retrieve the remaining results, make another request with the # returned `nextToken` value. # # @return [Types::GetEnrollmentStatusesForOrganizationResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetEnrollmentStatusesForOrganizationResponse#account_enrollment_statuses #account_enrollment_statuses} => Array<Types::AccountEnrollmentStatus> # * {Types::GetEnrollmentStatusesForOrganizationResponse#next_token #next_token} => String # # The returned {Seahorse::Client::Response response} is a pageable response and is Enumerable. For details on usage see {Aws::PageableResponse PageableResponse}. # # @example Request syntax with placeholder values # # resp = client.get_enrollment_statuses_for_organization({ # filters: [ # { # name: "Status", # accepts Status # values: ["FilterValue"], # }, # ], # next_token: "NextToken", # max_results: 1, # }) # # @example Response structure # # resp.account_enrollment_statuses #=> Array # resp.account_enrollment_statuses[0].account_id #=> String # resp.account_enrollment_statuses[0].status #=> String, one of "Active", "Inactive", "Pending", "Failed" # resp.account_enrollment_statuses[0].status_reason #=> String # resp.account_enrollment_statuses[0].last_updated_timestamp #=> Time # resp.next_token #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/GetEnrollmentStatusesForOrganization AWS API Documentation # # @overload get_enrollment_statuses_for_organization(params = {}) # @param [Hash] params ({}) def get_enrollment_statuses_for_organization(params = {}, options = {}) req = build_request(:get_enrollment_statuses_for_organization, params) req.send_request(options) end # 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][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/requirements.html # # @option params [Array] :function_arns # The Amazon Resource Name (ARN) of the functions for which to return # recommendations. # # You can specify a qualified or unqualified ARN. If you specify an # unqualified ARN without a function version suffix, Compute Optimizer # will return recommendations for the latest (`$LATEST`) version of the # function. If you specify a qualified ARN with a version suffix, # Compute Optimizer will return recommendations for the specified # function version. For more information about using function versions, # see [Using versions][1] in the *Lambda Developer Guide*. # # # # [1]: https://docs.aws.amazon.com/lambda/latest/dg/configuration-versions.html#versioning-versions-using # # @option params [Array] :account_ids # The ID of the Amazon Web Services account for which to return function # recommendations. # # If your account is the management account of an organization, use this # parameter to specify the member account for which you want to return # function recommendations. # # Only one account ID can be specified per request. # # @option params [Array] :filters # An array of objects to specify a filter that returns a more specific # list of function recommendations. # # @option params [String] :next_token # The token to advance to the next page of function recommendations. # # @option params [Integer] :max_results # The maximum number of function recommendations to return with a single # request. # # To retrieve the remaining results, make another request with the # returned `nextToken` value. # # @return [Types::GetLambdaFunctionRecommendationsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetLambdaFunctionRecommendationsResponse#next_token #next_token} => String # * {Types::GetLambdaFunctionRecommendationsResponse#lambda_function_recommendations #lambda_function_recommendations} => Array<Types::LambdaFunctionRecommendation> # # The returned {Seahorse::Client::Response response} is a pageable response and is Enumerable. For details on usage see {Aws::PageableResponse PageableResponse}. # # @example Request syntax with placeholder values # # resp = client.get_lambda_function_recommendations({ # function_arns: ["FunctionArn"], # account_ids: ["AccountId"], # filters: [ # { # name: "Finding", # accepts Finding, FindingReasonCode # values: ["FilterValue"], # }, # ], # next_token: "NextToken", # max_results: 1, # }) # # @example Response structure # # resp.next_token #=> String # resp.lambda_function_recommendations #=> Array # resp.lambda_function_recommendations[0].function_arn #=> String # resp.lambda_function_recommendations[0].function_version #=> String # resp.lambda_function_recommendations[0].account_id #=> String # resp.lambda_function_recommendations[0].current_memory_size #=> Integer # resp.lambda_function_recommendations[0].number_of_invocations #=> Integer # resp.lambda_function_recommendations[0].utilization_metrics #=> Array # resp.lambda_function_recommendations[0].utilization_metrics[0].name #=> String, one of "Duration", "Memory" # resp.lambda_function_recommendations[0].utilization_metrics[0].statistic #=> String, one of "Maximum", "Average" # resp.lambda_function_recommendations[0].utilization_metrics[0].value #=> Float # resp.lambda_function_recommendations[0].lookback_period_in_days #=> Float # resp.lambda_function_recommendations[0].last_refresh_timestamp #=> Time # resp.lambda_function_recommendations[0].finding #=> String, one of "Optimized", "NotOptimized", "Unavailable" # resp.lambda_function_recommendations[0].finding_reason_codes #=> Array # resp.lambda_function_recommendations[0].finding_reason_codes[0] #=> String, one of "MemoryOverprovisioned", "MemoryUnderprovisioned", "InsufficientData", "Inconclusive" # resp.lambda_function_recommendations[0].memory_size_recommendation_options #=> Array # resp.lambda_function_recommendations[0].memory_size_recommendation_options[0].rank #=> Integer # resp.lambda_function_recommendations[0].memory_size_recommendation_options[0].memory_size #=> Integer # resp.lambda_function_recommendations[0].memory_size_recommendation_options[0].projected_utilization_metrics #=> Array # resp.lambda_function_recommendations[0].memory_size_recommendation_options[0].projected_utilization_metrics[0].name #=> String, one of "Duration" # resp.lambda_function_recommendations[0].memory_size_recommendation_options[0].projected_utilization_metrics[0].statistic #=> String, one of "LowerBound", "UpperBound", "Expected" # resp.lambda_function_recommendations[0].memory_size_recommendation_options[0].projected_utilization_metrics[0].value #=> Float # resp.lambda_function_recommendations[0].memory_size_recommendation_options[0].savings_opportunity.savings_opportunity_percentage #=> Float # resp.lambda_function_recommendations[0].memory_size_recommendation_options[0].savings_opportunity.estimated_monthly_savings.currency #=> String, one of "USD", "CNY" # resp.lambda_function_recommendations[0].memory_size_recommendation_options[0].savings_opportunity.estimated_monthly_savings.value #=> Float # resp.lambda_function_recommendations[0].memory_size_recommendation_options[0].savings_opportunity_after_discounts.savings_opportunity_percentage #=> Float # resp.lambda_function_recommendations[0].memory_size_recommendation_options[0].savings_opportunity_after_discounts.estimated_monthly_savings.currency #=> String, one of "USD", "CNY" # resp.lambda_function_recommendations[0].memory_size_recommendation_options[0].savings_opportunity_after_discounts.estimated_monthly_savings.value #=> Float # resp.lambda_function_recommendations[0].current_performance_risk #=> String, one of "VeryLow", "Low", "Medium", "High" # resp.lambda_function_recommendations[0].effective_recommendation_preferences.savings_estimation_mode.source #=> String, one of "PublicPricing", "CostExplorerRightsizing", "CostOptimizationHub" # resp.lambda_function_recommendations[0].tags #=> Array # resp.lambda_function_recommendations[0].tags[0].key #=> String # resp.lambda_function_recommendations[0].tags[0].value #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/GetLambdaFunctionRecommendations AWS API Documentation # # @overload get_lambda_function_recommendations(params = {}) # @param [Hash] params ({}) def get_lambda_function_recommendations(params = {}, options = {}) req = build_request(:get_lambda_function_recommendations, params) req.send_request(options) end # 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][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/requirements.html # # @option params [Array] :resource_arns # The ARN that identifies the Amazon EC2 instance. # # The following is the format of the ARN: # # `arn:aws:ec2:region:aws_account_id:instance/instance-id` # # @option params [String] :next_token # The token to advance to the next page of license recommendations. # # @option params [Integer] :max_results # The maximum number of license recommendations to return with a single # request. # # To retrieve the remaining results, make another request with the # returned `nextToken` value. # # @option params [Array] :filters # An array of objects to specify a filter that returns a more specific # list of license recommendations. # # @option params [Array] :account_ids # The ID of the Amazon Web Services account for which to return license # recommendations. # # If your account is the management account of an organization, use this # parameter to specify the member account for which you want to return # license recommendations. # # Only one account ID can be specified per request. # # @return [Types::GetLicenseRecommendationsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetLicenseRecommendationsResponse#next_token #next_token} => String # * {Types::GetLicenseRecommendationsResponse#license_recommendations #license_recommendations} => Array<Types::LicenseRecommendation> # * {Types::GetLicenseRecommendationsResponse#errors #errors} => Array<Types::GetRecommendationError> # # @example Request syntax with placeholder values # # resp = client.get_license_recommendations({ # resource_arns: ["ResourceArn"], # next_token: "NextToken", # max_results: 1, # filters: [ # { # name: "Finding", # accepts Finding, FindingReasonCode, LicenseName # values: ["FilterValue"], # }, # ], # account_ids: ["AccountId"], # }) # # @example Response structure # # resp.next_token #=> String # resp.license_recommendations #=> Array # resp.license_recommendations[0].resource_arn #=> String # resp.license_recommendations[0].account_id #=> String # resp.license_recommendations[0].current_license_configuration.number_of_cores #=> Integer # resp.license_recommendations[0].current_license_configuration.instance_type #=> String # resp.license_recommendations[0].current_license_configuration.operating_system #=> String # resp.license_recommendations[0].current_license_configuration.license_edition #=> String, one of "Enterprise", "Standard", "Free", "NoLicenseEditionFound" # resp.license_recommendations[0].current_license_configuration.license_name #=> String, one of "SQLServer" # resp.license_recommendations[0].current_license_configuration.license_model #=> String, one of "LicenseIncluded", "BringYourOwnLicense" # resp.license_recommendations[0].current_license_configuration.license_version #=> String # resp.license_recommendations[0].current_license_configuration.metrics_source #=> Array # resp.license_recommendations[0].current_license_configuration.metrics_source[0].provider #=> String, one of "CloudWatchApplicationInsights" # resp.license_recommendations[0].current_license_configuration.metrics_source[0].provider_arn #=> String # resp.license_recommendations[0].lookback_period_in_days #=> Float # resp.license_recommendations[0].last_refresh_timestamp #=> Time # resp.license_recommendations[0].finding #=> String, one of "InsufficientMetrics", "Optimized", "NotOptimized" # resp.license_recommendations[0].finding_reason_codes #=> Array # resp.license_recommendations[0].finding_reason_codes[0] #=> String, one of "InvalidCloudWatchApplicationInsightsSetup", "CloudWatchApplicationInsightsError", "LicenseOverprovisioned", "Optimized" # resp.license_recommendations[0].license_recommendation_options #=> Array # resp.license_recommendations[0].license_recommendation_options[0].rank #=> Integer # resp.license_recommendations[0].license_recommendation_options[0].operating_system #=> String # resp.license_recommendations[0].license_recommendation_options[0].license_edition #=> String, one of "Enterprise", "Standard", "Free", "NoLicenseEditionFound" # resp.license_recommendations[0].license_recommendation_options[0].license_model #=> String, one of "LicenseIncluded", "BringYourOwnLicense" # resp.license_recommendations[0].license_recommendation_options[0].savings_opportunity.savings_opportunity_percentage #=> Float # resp.license_recommendations[0].license_recommendation_options[0].savings_opportunity.estimated_monthly_savings.currency #=> String, one of "USD", "CNY" # resp.license_recommendations[0].license_recommendation_options[0].savings_opportunity.estimated_monthly_savings.value #=> Float # resp.license_recommendations[0].tags #=> Array # resp.license_recommendations[0].tags[0].key #=> String # resp.license_recommendations[0].tags[0].value #=> String # resp.errors #=> Array # resp.errors[0].identifier #=> String # resp.errors[0].code #=> String # resp.errors[0].message #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/GetLicenseRecommendations AWS API Documentation # # @overload get_license_recommendations(params = {}) # @param [Hash] params ({}) def get_license_recommendations(params = {}, options = {}) req = build_request(:get_license_recommendations, params) req.send_request(options) end # Returns the projected metrics of Amazon RDS recommendations. # # @option params [required, String] :resource_arn # The ARN that identifies the Amazon RDS. # # The following is the format of the ARN: # # `arn:aws:rds:\{region\}:\{accountId\}:db:\{resourceName\}` # # @option params [required, String] :stat # The statistic of the projected metrics. # # @option params [required, Integer] :period # The granularity, in seconds, of the projected metrics data points. # # @option params [required, Time,DateTime,Date,Integer,String] :start_time # The timestamp of the first projected metrics data point to return. # # @option params [required, Time,DateTime,Date,Integer,String] :end_time # The timestamp of the last projected metrics data point to return. # # @option params [Types::RecommendationPreferences] :recommendation_preferences # Describes the recommendation preferences to return in the response of # a GetAutoScalingGroupRecommendations, GetEC2InstanceRecommendations, # GetEC2RecommendationProjectedMetrics, GetRDSDatabaseRecommendations, # and GetRDSDatabaseRecommendationProjectedMetrics request. # # @return [Types::GetRDSDatabaseRecommendationProjectedMetricsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetRDSDatabaseRecommendationProjectedMetricsResponse#recommended_option_projected_metrics #recommended_option_projected_metrics} => Array<Types::RDSDatabaseRecommendedOptionProjectedMetric> # # @example Request syntax with placeholder values # # resp = client.get_rds_database_recommendation_projected_metrics({ # resource_arn: "ResourceArn", # required # stat: "Maximum", # required, accepts Maximum, Average # period: 1, # required # start_time: Time.now, # required # end_time: Time.now, # required # recommendation_preferences: { # cpu_vendor_architectures: ["AWS_ARM64"], # accepts AWS_ARM64, CURRENT # }, # }) # # @example Response structure # # resp.recommended_option_projected_metrics #=> Array # resp.recommended_option_projected_metrics[0].recommended_db_instance_class #=> String # resp.recommended_option_projected_metrics[0].rank #=> Integer # resp.recommended_option_projected_metrics[0].projected_metrics #=> Array # resp.recommended_option_projected_metrics[0].projected_metrics[0].name #=> String, one of "CPU", "Memory", "EBSVolumeStorageSpaceUtilization", "NetworkReceiveThroughput", "NetworkTransmitThroughput", "EBSVolumeReadIOPS", "EBSVolumeWriteIOPS", "EBSVolumeReadThroughput", "EBSVolumeWriteThroughput", "DatabaseConnections" # resp.recommended_option_projected_metrics[0].projected_metrics[0].timestamps #=> Array # resp.recommended_option_projected_metrics[0].projected_metrics[0].timestamps[0] #=> Time # resp.recommended_option_projected_metrics[0].projected_metrics[0].values #=> Array # resp.recommended_option_projected_metrics[0].projected_metrics[0].values[0] #=> Float # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/GetRDSDatabaseRecommendationProjectedMetrics AWS API Documentation # # @overload get_rds_database_recommendation_projected_metrics(params = {}) # @param [Hash] params ({}) def get_rds_database_recommendation_projected_metrics(params = {}, options = {}) req = build_request(:get_rds_database_recommendation_projected_metrics, params) req.send_request(options) end # Returns Amazon RDS recommendations. # # Compute Optimizer generates recommendations for Amazon RDS that meet a # specific set of requirements. For more information, see the [Supported # resources and requirements][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/requirements.html # # @option params [Array] :resource_arns # The ARN that identifies the Amazon RDS. # # The following is the format of the ARN: # # `arn:aws:rds:\{region\}:\{accountId\}:db:\{resourceName\}` # # The following is the format of a DB Cluster ARN: # # `arn:aws:rds:\{region\}:\{accountId\}:cluster:\{resourceName\}` # # @option params [String] :next_token # The token to advance to the next page of Amazon RDS recommendations. # # @option params [Integer] :max_results # The maximum number of Amazon RDS recommendations to return with a # single request. # # To retrieve the remaining results, make another request with the # returned `nextToken` value. # # @option params [Array] :filters # An array of objects to specify a filter that returns a more specific # list of Amazon RDS recommendations. # # @option params [Array] :account_ids # Return the Amazon RDS recommendations to the specified Amazon Web # Services account IDs. # # If your account is the management account or the delegated # administrator of an organization, use this parameter to return the # Amazon RDS recommendations to specific member accounts. # # You can only specify one account ID per request. # # @option params [Types::RecommendationPreferences] :recommendation_preferences # Describes the recommendation preferences to return in the response of # a GetAutoScalingGroupRecommendations, GetEC2InstanceRecommendations, # GetEC2RecommendationProjectedMetrics, GetRDSDatabaseRecommendations, # and GetRDSDatabaseRecommendationProjectedMetrics request. # # @return [Types::GetRDSDatabaseRecommendationsResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetRDSDatabaseRecommendationsResponse#next_token #next_token} => String # * {Types::GetRDSDatabaseRecommendationsResponse#rds_db_recommendations #rds_db_recommendations} => Array<Types::RDSDBRecommendation> # * {Types::GetRDSDatabaseRecommendationsResponse#errors #errors} => Array<Types::GetRecommendationError> # # @example Request syntax with placeholder values # # resp = client.get_rds_database_recommendations({ # resource_arns: ["ResourceArn"], # next_token: "NextToken", # max_results: 1, # filters: [ # { # name: "InstanceFinding", # accepts InstanceFinding, InstanceFindingReasonCode, StorageFinding, StorageFindingReasonCode, Idle # values: ["FilterValue"], # }, # ], # account_ids: ["AccountId"], # recommendation_preferences: { # cpu_vendor_architectures: ["AWS_ARM64"], # accepts AWS_ARM64, CURRENT # }, # }) # # @example Response structure # # resp.next_token #=> String # resp.rds_db_recommendations #=> Array # resp.rds_db_recommendations[0].resource_arn #=> String # resp.rds_db_recommendations[0].account_id #=> String # resp.rds_db_recommendations[0].engine #=> String # resp.rds_db_recommendations[0].engine_version #=> String # resp.rds_db_recommendations[0].current_db_instance_class #=> String # resp.rds_db_recommendations[0].current_storage_configuration.storage_type #=> String # resp.rds_db_recommendations[0].current_storage_configuration.allocated_storage #=> Integer # resp.rds_db_recommendations[0].current_storage_configuration.iops #=> Integer # resp.rds_db_recommendations[0].current_storage_configuration.max_allocated_storage #=> Integer # resp.rds_db_recommendations[0].current_storage_configuration.storage_throughput #=> Integer # resp.rds_db_recommendations[0].idle #=> String, one of "True", "False" # resp.rds_db_recommendations[0].instance_finding #=> String, one of "Optimized", "Underprovisioned", "Overprovisioned" # resp.rds_db_recommendations[0].storage_finding #=> String, one of "Optimized", "Underprovisioned", "Overprovisioned" # resp.rds_db_recommendations[0].instance_finding_reason_codes #=> Array # resp.rds_db_recommendations[0].instance_finding_reason_codes[0] #=> String, one of "CPUOverprovisioned", "NetworkBandwidthOverprovisioned", "EBSIOPSOverprovisioned", "EBSThroughputOverprovisioned", "CPUUnderprovisioned", "NetworkBandwidthUnderprovisioned", "EBSThroughputUnderprovisioned", "NewGenerationDBInstanceClassAvailable", "NewEngineVersionAvailable" # resp.rds_db_recommendations[0].storage_finding_reason_codes #=> Array # resp.rds_db_recommendations[0].storage_finding_reason_codes[0] #=> String, one of "EBSVolumeAllocatedStorageUnderprovisioned", "EBSVolumeThroughputUnderprovisioned", "EBSVolumeIOPSOverprovisioned", "EBSVolumeThroughputOverprovisioned", "NewGenerationStorageTypeAvailable" # resp.rds_db_recommendations[0].instance_recommendation_options #=> Array # resp.rds_db_recommendations[0].instance_recommendation_options[0].db_instance_class #=> String # resp.rds_db_recommendations[0].instance_recommendation_options[0].projected_utilization_metrics #=> Array # resp.rds_db_recommendations[0].instance_recommendation_options[0].projected_utilization_metrics[0].name #=> String, one of "CPU", "Memory", "EBSVolumeStorageSpaceUtilization", "NetworkReceiveThroughput", "NetworkTransmitThroughput", "EBSVolumeReadIOPS", "EBSVolumeWriteIOPS", "EBSVolumeReadThroughput", "EBSVolumeWriteThroughput", "DatabaseConnections" # resp.rds_db_recommendations[0].instance_recommendation_options[0].projected_utilization_metrics[0].statistic #=> String, one of "Maximum", "Minimum", "Average" # resp.rds_db_recommendations[0].instance_recommendation_options[0].projected_utilization_metrics[0].value #=> Float # resp.rds_db_recommendations[0].instance_recommendation_options[0].performance_risk #=> Float # resp.rds_db_recommendations[0].instance_recommendation_options[0].rank #=> Integer # resp.rds_db_recommendations[0].instance_recommendation_options[0].savings_opportunity.savings_opportunity_percentage #=> Float # resp.rds_db_recommendations[0].instance_recommendation_options[0].savings_opportunity.estimated_monthly_savings.currency #=> String, one of "USD", "CNY" # resp.rds_db_recommendations[0].instance_recommendation_options[0].savings_opportunity.estimated_monthly_savings.value #=> Float # resp.rds_db_recommendations[0].instance_recommendation_options[0].savings_opportunity_after_discounts.savings_opportunity_percentage #=> Float # resp.rds_db_recommendations[0].instance_recommendation_options[0].savings_opportunity_after_discounts.estimated_monthly_savings.currency #=> String, one of "USD", "CNY" # resp.rds_db_recommendations[0].instance_recommendation_options[0].savings_opportunity_after_discounts.estimated_monthly_savings.value #=> Float # resp.rds_db_recommendations[0].storage_recommendation_options #=> Array # resp.rds_db_recommendations[0].storage_recommendation_options[0].storage_configuration.storage_type #=> String # resp.rds_db_recommendations[0].storage_recommendation_options[0].storage_configuration.allocated_storage #=> Integer # resp.rds_db_recommendations[0].storage_recommendation_options[0].storage_configuration.iops #=> Integer # resp.rds_db_recommendations[0].storage_recommendation_options[0].storage_configuration.max_allocated_storage #=> Integer # resp.rds_db_recommendations[0].storage_recommendation_options[0].storage_configuration.storage_throughput #=> Integer # resp.rds_db_recommendations[0].storage_recommendation_options[0].rank #=> Integer # resp.rds_db_recommendations[0].storage_recommendation_options[0].savings_opportunity.savings_opportunity_percentage #=> Float # resp.rds_db_recommendations[0].storage_recommendation_options[0].savings_opportunity.estimated_monthly_savings.currency #=> String, one of "USD", "CNY" # resp.rds_db_recommendations[0].storage_recommendation_options[0].savings_opportunity.estimated_monthly_savings.value #=> Float # resp.rds_db_recommendations[0].storage_recommendation_options[0].savings_opportunity_after_discounts.savings_opportunity_percentage #=> Float # resp.rds_db_recommendations[0].storage_recommendation_options[0].savings_opportunity_after_discounts.estimated_monthly_savings.currency #=> String, one of "USD", "CNY" # resp.rds_db_recommendations[0].storage_recommendation_options[0].savings_opportunity_after_discounts.estimated_monthly_savings.value #=> Float # resp.rds_db_recommendations[0].utilization_metrics #=> Array # resp.rds_db_recommendations[0].utilization_metrics[0].name #=> String, one of "CPU", "Memory", "EBSVolumeStorageSpaceUtilization", "NetworkReceiveThroughput", "NetworkTransmitThroughput", "EBSVolumeReadIOPS", "EBSVolumeWriteIOPS", "EBSVolumeReadThroughput", "EBSVolumeWriteThroughput", "DatabaseConnections" # resp.rds_db_recommendations[0].utilization_metrics[0].statistic #=> String, one of "Maximum", "Minimum", "Average" # resp.rds_db_recommendations[0].utilization_metrics[0].value #=> Float # resp.rds_db_recommendations[0].effective_recommendation_preferences.cpu_vendor_architectures #=> Array # resp.rds_db_recommendations[0].effective_recommendation_preferences.cpu_vendor_architectures[0] #=> String, one of "AWS_ARM64", "CURRENT" # resp.rds_db_recommendations[0].effective_recommendation_preferences.enhanced_infrastructure_metrics #=> String, one of "Active", "Inactive" # resp.rds_db_recommendations[0].effective_recommendation_preferences.look_back_period #=> String, one of "DAYS_14", "DAYS_32", "DAYS_93" # resp.rds_db_recommendations[0].effective_recommendation_preferences.savings_estimation_mode.source #=> String, one of "PublicPricing", "CostExplorerRightsizing", "CostOptimizationHub" # resp.rds_db_recommendations[0].lookback_period_in_days #=> Float # resp.rds_db_recommendations[0].last_refresh_timestamp #=> Time # resp.rds_db_recommendations[0].tags #=> Array # resp.rds_db_recommendations[0].tags[0].key #=> String # resp.rds_db_recommendations[0].tags[0].value #=> String # resp.errors #=> Array # resp.errors[0].identifier #=> String # resp.errors[0].code #=> String # resp.errors[0].message #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/GetRDSDatabaseRecommendations AWS API Documentation # # @overload get_rds_database_recommendations(params = {}) # @param [Hash] params ({}) def get_rds_database_recommendations(params = {}, options = {}) req = build_request(:get_rds_database_recommendations, params) req.send_request(options) end # 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][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/enhanced-infrastructure-metrics.html # # @option params [required, String] :resource_type # The target resource type of the recommendation preference for which to # return preferences. # # 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. # # @option params [Types::Scope] :scope # An object that describes the scope of the recommendation preference to # return. # # You can return 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][1] in the *Compute # Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/enhanced-infrastructure-metrics.html # # @option params [String] :next_token # The token to advance to the next page of recommendation preferences. # # @option params [Integer] :max_results # The maximum number of recommendation preferences to return with a # single request. # # To retrieve the remaining results, make another request with the # returned `nextToken` value. # # @return [Types::GetRecommendationPreferencesResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetRecommendationPreferencesResponse#next_token #next_token} => String # * {Types::GetRecommendationPreferencesResponse#recommendation_preferences_details #recommendation_preferences_details} => Array<Types::RecommendationPreferencesDetail> # # The returned {Seahorse::Client::Response response} is a pageable response and is Enumerable. For details on usage see {Aws::PageableResponse PageableResponse}. # # @example Request syntax with placeholder values # # resp = client.get_recommendation_preferences({ # resource_type: "Ec2Instance", # required, accepts Ec2Instance, AutoScalingGroup, EbsVolume, LambdaFunction, NotApplicable, EcsService, License, RdsDBInstance # scope: { # name: "Organization", # accepts Organization, AccountId, ResourceArn # value: "ScopeValue", # }, # next_token: "NextToken", # max_results: 1, # }) # # @example Response structure # # resp.next_token #=> String # resp.recommendation_preferences_details #=> Array # resp.recommendation_preferences_details[0].scope.name #=> String, one of "Organization", "AccountId", "ResourceArn" # resp.recommendation_preferences_details[0].scope.value #=> String # resp.recommendation_preferences_details[0].resource_type #=> String, one of "Ec2Instance", "AutoScalingGroup", "EbsVolume", "LambdaFunction", "NotApplicable", "EcsService", "License", "RdsDBInstance" # resp.recommendation_preferences_details[0].enhanced_infrastructure_metrics #=> String, one of "Active", "Inactive" # resp.recommendation_preferences_details[0].inferred_workload_types #=> String, one of "Active", "Inactive" # resp.recommendation_preferences_details[0].external_metrics_preference.source #=> String, one of "Datadog", "Dynatrace", "NewRelic", "Instana" # resp.recommendation_preferences_details[0].look_back_period #=> String, one of "DAYS_14", "DAYS_32", "DAYS_93" # resp.recommendation_preferences_details[0].utilization_preferences #=> Array # resp.recommendation_preferences_details[0].utilization_preferences[0].metric_name #=> String, one of "CpuUtilization", "MemoryUtilization" # resp.recommendation_preferences_details[0].utilization_preferences[0].metric_parameters.threshold #=> String, one of "P90", "P95", "P99_5" # resp.recommendation_preferences_details[0].utilization_preferences[0].metric_parameters.headroom #=> String, one of "PERCENT_30", "PERCENT_20", "PERCENT_10", "PERCENT_0" # resp.recommendation_preferences_details[0].preferred_resources #=> Array # resp.recommendation_preferences_details[0].preferred_resources[0].name #=> String, one of "Ec2InstanceTypes" # resp.recommendation_preferences_details[0].preferred_resources[0].include_list #=> Array # resp.recommendation_preferences_details[0].preferred_resources[0].include_list[0] #=> String # resp.recommendation_preferences_details[0].preferred_resources[0].effective_include_list #=> Array # resp.recommendation_preferences_details[0].preferred_resources[0].effective_include_list[0] #=> String # resp.recommendation_preferences_details[0].preferred_resources[0].exclude_list #=> Array # resp.recommendation_preferences_details[0].preferred_resources[0].exclude_list[0] #=> String # resp.recommendation_preferences_details[0].savings_estimation_mode #=> String, one of "AfterDiscounts", "BeforeDiscounts" # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/GetRecommendationPreferences AWS API Documentation # # @overload get_recommendation_preferences(params = {}) # @param [Hash] params ({}) def get_recommendation_preferences(params = {}, options = {}) req = build_request(:get_recommendation_preferences, params) req.send_request(options) end # 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`. # # @option params [Array] :account_ids # The ID of the Amazon Web Services account for which to return # recommendation summaries. # # If your account is the management account of an organization, use this # parameter to specify the member account for which you want to return # recommendation summaries. # # Only one account ID can be specified per request. # # @option params [String] :next_token # The token to advance to the next page of recommendation summaries. # # @option params [Integer] :max_results # The maximum number of recommendation summaries to return with a single # request. # # To retrieve the remaining results, make another request with the # returned `nextToken` value. # # @return [Types::GetRecommendationSummariesResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::GetRecommendationSummariesResponse#next_token #next_token} => String # * {Types::GetRecommendationSummariesResponse#recommendation_summaries #recommendation_summaries} => Array<Types::RecommendationSummary> # # The returned {Seahorse::Client::Response response} is a pageable response and is Enumerable. For details on usage see {Aws::PageableResponse PageableResponse}. # # @example Request syntax with placeholder values # # resp = client.get_recommendation_summaries({ # account_ids: ["AccountId"], # next_token: "NextToken", # max_results: 1, # }) # # @example Response structure # # resp.next_token #=> String # resp.recommendation_summaries #=> Array # resp.recommendation_summaries[0].summaries #=> Array # resp.recommendation_summaries[0].summaries[0].name #=> String, one of "Underprovisioned", "Overprovisioned", "Optimized", "NotOptimized" # resp.recommendation_summaries[0].summaries[0].value #=> Float # resp.recommendation_summaries[0].summaries[0].reason_code_summaries #=> Array # resp.recommendation_summaries[0].summaries[0].reason_code_summaries[0].name #=> String, one of "MemoryOverprovisioned", "MemoryUnderprovisioned" # resp.recommendation_summaries[0].summaries[0].reason_code_summaries[0].value #=> Float # resp.recommendation_summaries[0].recommendation_resource_type #=> String, one of "Ec2Instance", "AutoScalingGroup", "EbsVolume", "LambdaFunction", "EcsService", "License", "RdsDBInstance", "RdsDBInstanceStorage" # resp.recommendation_summaries[0].account_id #=> String # resp.recommendation_summaries[0].savings_opportunity.savings_opportunity_percentage #=> Float # resp.recommendation_summaries[0].savings_opportunity.estimated_monthly_savings.currency #=> String, one of "USD", "CNY" # resp.recommendation_summaries[0].savings_opportunity.estimated_monthly_savings.value #=> Float # resp.recommendation_summaries[0].current_performance_risk_ratings.high #=> Integer # resp.recommendation_summaries[0].current_performance_risk_ratings.medium #=> Integer # resp.recommendation_summaries[0].current_performance_risk_ratings.low #=> Integer # resp.recommendation_summaries[0].current_performance_risk_ratings.very_low #=> Integer # resp.recommendation_summaries[0].inferred_workload_savings #=> Array # resp.recommendation_summaries[0].inferred_workload_savings[0].inferred_workload_types #=> Array # resp.recommendation_summaries[0].inferred_workload_savings[0].inferred_workload_types[0] #=> String, one of "AmazonEmr", "ApacheCassandra", "ApacheHadoop", "Memcached", "Nginx", "PostgreSql", "Redis", "Kafka", "SQLServer" # resp.recommendation_summaries[0].inferred_workload_savings[0].estimated_monthly_savings.currency #=> String, one of "USD", "CNY" # resp.recommendation_summaries[0].inferred_workload_savings[0].estimated_monthly_savings.value #=> Float # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/GetRecommendationSummaries AWS API Documentation # # @overload get_recommendation_summaries(params = {}) # @param [Hash] params ({}) def get_recommendation_summaries(params = {}, options = {}) req = build_request(:get_recommendation_summaries, params) req.send_request(options) end # Creates a new recommendation preference or updates an existing # recommendation preference, such as enhanced infrastructure metrics. # # For more information, see [Activating enhanced infrastructure # metrics][1] in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/enhanced-infrastructure-metrics.html # # @option params [required, String] :resource_type # The target resource type of the recommendation preference to create. # # 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. # # @option params [Types::Scope] :scope # An object that describes the scope of the recommendation preference to # create. # # You can create recommendation preferences at the organization level # (for management accounts of an organization only), account level, and # resource level. For more information, see [Activating enhanced # infrastructure metrics][1] in the *Compute Optimizer User Guide*. # # You cannot create recommendation preferences for Auto Scaling groups # at the organization and account levels. You can create recommendation # preferences for Auto Scaling groups only at the resource level by # specifying a scope name of `ResourceArn` and a scope value of the Auto # Scaling group Amazon Resource Name (ARN). This will configure the # preference for all instances that are part of the specified Auto # Scaling group. You also cannot create recommendation preferences at # the resource level for instances that are part of an Auto Scaling # group. You can create recommendation preferences at the resource level # only for standalone instances. # # # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/enhanced-infrastructure-metrics.html # # @option params [String] :enhanced_infrastructure_metrics # The status of the enhanced infrastructure metrics recommendation # preference to create or update. # # Specify the `Active` status to activate the preference, or specify # `Inactive` to deactivate the preference. # # For more information, see [Enhanced infrastructure metrics][1] in the # *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/enhanced-infrastructure-metrics.html # # @option params [String] :inferred_workload_types # The status of the inferred workload types recommendation preference to # create or update. # # The inferred workload type feature is active by default. To deactivate # it, create a recommendation preference. # # # # Specify the `Inactive` status to deactivate the feature, or specify # `Active` to activate it. # # For more information, see [Inferred workload types][1] in the *Compute # Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/inferred-workload-types.html # # @option params [Types::ExternalMetricsPreference] :external_metrics_preference # The provider of the external metrics recommendation preference to # create or update. # # Specify a valid provider in the `source` field to activate the # preference. To delete this preference, see the # DeleteRecommendationPreferences action. # # This preference can only be set for the `Ec2Instance` resource type. # # For more information, see [External metrics ingestion][1] in the # *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/external-metrics-ingestion.html # # @option params [String] :look_back_period # The preference to control the number of days the utilization metrics # of the Amazon Web Services resource are analyzed. When this preference # isn't specified, we use the default value `DAYS_14`. # # You can only set this preference for the Amazon EC2 instance and Auto # Scaling group resource types. # # # # @option params [Array] :utilization_preferences # The preference to control the resource’s CPU utilization threshold, # CPU utilization headroom, and memory utilization headroom. When this # preference isn't specified, we use the following default values. # # CPU utilization: # # * `P99_5` for threshold # # * `PERCENT_20` for headroom # # Memory utilization: # # * `PERCENT_20` for headroom # # ^ # # * You can only set CPU and memory utilization preferences for the # Amazon EC2 instance resource type. # # * The threshold setting isn’t available for memory utilization. # # # # @option params [Array] :preferred_resources # The preference to control which resource type values are considered # when generating rightsizing recommendations. You can specify this # preference as a combination of include and exclude lists. You must # specify either an `includeList` or `excludeList`. If the preference is # an empty set of resource type values, an error occurs. # # You can only set this preference for the Amazon EC2 instance and Auto # Scaling group resource types. # # # # @option params [String] :savings_estimation_mode # The status of the savings estimation mode preference to create or # update. # # Specify the `AfterDiscounts` status to activate the preference, or # specify `BeforeDiscounts` to deactivate the preference. # # Only the account manager or delegated administrator of your # organization can activate this preference. # # For more information, see [ Savings estimation mode][1] in the # *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/savings-estimation-mode.html # # @return [Struct] Returns an empty {Seahorse::Client::Response response}. # # @example Request syntax with placeholder values # # resp = client.put_recommendation_preferences({ # resource_type: "Ec2Instance", # required, accepts Ec2Instance, AutoScalingGroup, EbsVolume, LambdaFunction, NotApplicable, EcsService, License, RdsDBInstance # scope: { # name: "Organization", # accepts Organization, AccountId, ResourceArn # value: "ScopeValue", # }, # enhanced_infrastructure_metrics: "Active", # accepts Active, Inactive # inferred_workload_types: "Active", # accepts Active, Inactive # external_metrics_preference: { # source: "Datadog", # accepts Datadog, Dynatrace, NewRelic, Instana # }, # look_back_period: "DAYS_14", # accepts DAYS_14, DAYS_32, DAYS_93 # utilization_preferences: [ # { # metric_name: "CpuUtilization", # accepts CpuUtilization, MemoryUtilization # metric_parameters: { # threshold: "P90", # accepts P90, P95, P99_5 # headroom: "PERCENT_30", # accepts PERCENT_30, PERCENT_20, PERCENT_10, PERCENT_0 # }, # }, # ], # preferred_resources: [ # { # name: "Ec2InstanceTypes", # accepts Ec2InstanceTypes # include_list: ["PreferredResourceValue"], # exclude_list: ["PreferredResourceValue"], # }, # ], # savings_estimation_mode: "AfterDiscounts", # accepts AfterDiscounts, BeforeDiscounts # }) # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/PutRecommendationPreferences AWS API Documentation # # @overload put_recommendation_preferences(params = {}) # @param [Hash] params ({}) def put_recommendation_preferences(params = {}, options = {}) req = build_request(:put_recommendation_preferences, params) req.send_request(options) end # 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][1] 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][2] # in the *Compute Optimizer User Guide*. # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/security-iam.html # [2]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/using-service-linked-roles.html # # @option params [required, String] :status # The new enrollment status of the account. # # The following status options are available: # # * `Active` - Opts in your account to the Compute Optimizer service. # Compute Optimizer begins analyzing the configuration and utilization # metrics of your Amazon Web Services resources after you opt in. For # more information, see [Metrics analyzed by Compute Optimizer][1] in # the *Compute Optimizer User Guide*. # # * `Inactive` - Opts out your account from the Compute Optimizer # service. Your account's recommendations and related metrics data # will be deleted from Compute Optimizer after you opt out. # # The `Pending` and `Failed` options cannot be used to update the # enrollment status of an account. They are returned in the response of # a request to update the enrollment status of an account. # # # # # # [1]: https://docs.aws.amazon.com/compute-optimizer/latest/ug/metrics.html # # @option params [Boolean] :include_member_accounts # Indicates whether to enroll member accounts of the organization if the # account is the management account of an organization. # # @return [Types::UpdateEnrollmentStatusResponse] Returns a {Seahorse::Client::Response response} object which responds to the following methods: # # * {Types::UpdateEnrollmentStatusResponse#status #status} => String # * {Types::UpdateEnrollmentStatusResponse#status_reason #status_reason} => String # # @example Request syntax with placeholder values # # resp = client.update_enrollment_status({ # status: "Active", # required, accepts Active, Inactive, Pending, Failed # include_member_accounts: false, # }) # # @example Response structure # # resp.status #=> String, one of "Active", "Inactive", "Pending", "Failed" # resp.status_reason #=> String # # @see http://docs.aws.amazon.com/goto/WebAPI/compute-optimizer-2019-11-01/UpdateEnrollmentStatus AWS API Documentation # # @overload update_enrollment_status(params = {}) # @param [Hash] params ({}) def update_enrollment_status(params = {}, options = {}) req = build_request(:update_enrollment_status, params) req.send_request(options) end # @!endgroup # @param params ({}) # @api private def build_request(operation_name, params = {}) handlers = @handlers.for(operation_name) context = Seahorse::Client::RequestContext.new( operation_name: operation_name, operation: config.api.operation(operation_name), client: self, params: params, config: config) context[:gem_name] = 'aws-sdk-computeoptimizer' context[:gem_version] = '1.59.0' Seahorse::Client::Request.new(handlers, context) end # @api private # @deprecated def waiter_names [] end class << self # @api private attr_reader :identifier # @api private def errors_module Errors end end end end