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Class: Aws::CostExplorer::Client

Inherits:
Seahorse::Client::Base show all
Includes:
Aws::ClientStubs
Defined in:
gems/aws-sdk-costexplorer/lib/aws-sdk-costexplorer/client.rb

Instance Attribute Summary

Attributes inherited from Seahorse::Client::Base

#config, #handlers

API Operations collapse

Instance Method Summary collapse

Methods included from Aws::ClientStubs

#api_requests, #stub_data, #stub_responses

Methods inherited from Seahorse::Client::Base

add_plugin, api, clear_plugins, define, new, #operation_names, plugins, remove_plugin, set_api, set_plugins

Methods included from Seahorse::Client::HandlerBuilder

#handle, #handle_request, #handle_response

Constructor Details

#initialize(options) ⇒ Client

Returns a new instance of Client

Parameters:

  • options (Hash)

Options Hash (options):

  • :credentials (required, Aws::CredentialProvider) —

    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::InstanceProfileCredentials - Used for loading credentials from an EC2 IMDS on an EC2 instance.

    • Aws::SharedCredentials - Used for loading credentials from a shared file, such as ~/.aws/config.

    • Aws::AssumeRoleCredentials - Used when you need to assume a role.

    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 IMDS instance profile - When used by default, the timeouts are very aggressive. Construct and pass an instance of Aws::InstanceProfileCredentails to enable retries and extended timeouts.
  • :region (required, String) —

    The AWS region to connect to. The configured :region is used to determine the service :endpoint. When not passed, a default :region is search for in the following locations:

    • Aws.config[:region]
    • ENV['AWS_REGION']
    • ENV['AMAZON_REGION']
    • ENV['AWS_DEFAULT_REGION']
    • ~/.aws/credentials
    • ~/.aws/config
  • :access_key_id (String)
  • :active_endpoint_cache (Boolean) — default: false —

    When set to true, a thread polling for endpoints will be running in the background every 60 secs (default). Defaults to false.

  • :client_side_monitoring (Boolean) — default: false —

    When true, client-side metrics will be collected for all API requests from this client.

  • :client_side_monitoring_client_id (String) — default: "" —

    Allows you to provide an identifier for this client which will be attached to all generated client side metrics. Defaults to an empty string.

  • :client_side_monitoring_port (Integer) — default: 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.

  • :client_side_monitoring_publisher (Aws::ClientSideMonitoring::Publisher) — default: Aws::ClientSideMonitoring::Publisher —

    Allows you to provide a custom client-side monitoring publisher class. By default, will use the Client Side Monitoring Agent Publisher.

  • :convert_params (Boolean) — default: true —

    When true, an attempt is made to coerce request parameters into the required types.

  • :disable_host_prefix_injection (Boolean) — default: false —

    Set to true to disable SDK automatically adding host prefix to default service endpoint when available.

  • :endpoint (String) —

    The client endpoint is normally constructed from the :region option. You should only configure an :endpoint when connecting to test endpoints. This should be avalid HTTP(S) URI.

  • :endpoint_cache_max_entries (Integer) — default: 1000 —

    Used for the maximum size limit of the LRU cache storing endpoints data for endpoint discovery enabled operations. Defaults to 1000.

  • :endpoint_cache_max_threads (Integer) — default: 10 —

    Used for the maximum threads in use for polling endpoints to be cached, defaults to 10.

  • :endpoint_cache_poll_interval (Integer) — default: 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.

  • :endpoint_discovery (Boolean) — default: false —

    When set to true, endpoint discovery will be enabled for operations when available. Defaults to false.

  • :log_formatter (Aws::Log::Formatter) — default: Aws::Log::Formatter.default —

    The log formatter.

  • :log_level (Symbol) — default: :info —

    The log level to send messages to the :logger at.

  • :logger (Logger) —

    The Logger instance to send log messages to. If this option is not set, logging will be disabled.

  • :profile (String) — default: "default" —

    Used when loading credentials from the shared credentials file at HOME/.aws/credentials. When not specified, 'default' is used.

  • :retry_base_delay (Float) — default: 0.3 —

    The base delay in seconds used by the default backoff function.

  • :retry_jitter (Symbol) — default: :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.

    @see https://www.awsarchitectureblog.com/2015/03/backoff.html

  • :retry_limit (Integer) — default: 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 and auth errors from expired credentials.

  • :retry_max_delay (Integer) — default: 0 —

    The maximum number of seconds to delay between retries (0 for no limit) used by the default backoff function.

  • :secret_access_key (String)
  • :session_token (String)
  • :simple_json (Boolean) — default: 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.

  • :stub_responses (Boolean) — default: 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 Aws::ClientStubs#stub_responses. See Aws::ClientStubs for more information.

    Please note When response stubbing is enabled, no HTTP requests are made, and retries are disabled.

  • :validate_params (Boolean) — default: true —

    When true, request parameters are validated before sending the request.



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# File 'gems/aws-sdk-costexplorer/lib/aws-sdk-costexplorer/client.rb', line 212

def initialize(*args)
  super
end

Instance Method Details

#get_cost_and_usage(params = {}) ⇒ Types::GetCostAndUsageResponse

Retrieves cost and usage metrics for your account. You can specify which cost and usage-related metric, such as BlendedCosts or UsageQuantity, that you want the request to return. You can also filter and group your data by various dimensions, such as SERVICE or AZ, in a specific time range. For a complete list of valid dimensions, see the GetDimensionValues operation. Master accounts in an organization in AWS Organizations have access to all member accounts.

Examples:

Request syntax with placeholder values


resp = client.get_cost_and_usage({
  time_period: { # required
    start: "YearMonthDay", # required
    end: "YearMonthDay", # required
  },
  granularity: "DAILY", # accepts DAILY, MONTHLY, HOURLY
  filter: {
    or: [
      {
        # recursive Expression
      },
    ],
    and: [
      {
        # recursive Expression
      },
    ],
    not: {
      # recursive Expression
    },
    dimensions: {
      key: "AZ", # accepts AZ, INSTANCE_TYPE, LINKED_ACCOUNT, OPERATION, PURCHASE_TYPE, REGION, SERVICE, USAGE_TYPE, USAGE_TYPE_GROUP, RECORD_TYPE, OPERATING_SYSTEM, TENANCY, SCOPE, PLATFORM, SUBSCRIPTION_ID, LEGAL_ENTITY_NAME, DEPLOYMENT_OPTION, DATABASE_ENGINE, CACHE_ENGINE, INSTANCE_TYPE_FAMILY, BILLING_ENTITY, RESERVATION_ID
      values: ["Value"],
    },
    tags: {
      key: "TagKey",
      values: ["Value"],
    },
  },
  metrics: ["MetricName"],
  group_by: [
    {
      type: "DIMENSION", # accepts DIMENSION, TAG
      key: "GroupDefinitionKey",
    },
  ],
  next_page_token: "NextPageToken",
})

Response structure


resp.next_page_token #=> String
resp.group_definitions #=> Array
resp.group_definitions[0].type #=> String, one of "DIMENSION", "TAG"
resp.group_definitions[0].key #=> String
resp.results_by_time #=> Array
resp.results_by_time[0].time_period.start #=> String
resp.results_by_time[0].time_period.end #=> String
resp.results_by_time[0].total #=> Hash
resp.results_by_time[0].total["MetricName"].amount #=> String
resp.results_by_time[0].total["MetricName"].unit #=> String
resp.results_by_time[0].groups #=> Array
resp.results_by_time[0].groups[0].keys #=> Array
resp.results_by_time[0].groups[0].keys[0] #=> String
resp.results_by_time[0].groups[0].metrics #=> Hash
resp.results_by_time[0].groups[0].metrics["MetricName"].amount #=> String
resp.results_by_time[0].groups[0].metrics["MetricName"].unit #=> String
resp.results_by_time[0].estimated #=> Boolean

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :time_period (required, Types::DateInterval) —

    Sets the start and end dates for retrieving AWS costs. The start date is inclusive, but the end date is exclusive. For example, if start is 2017-01-01 and end is 2017-05-01, then the cost and usage data is retrieved from 2017-01-01 up to and including 2017-04-30 but not including 2017-05-01.

  • :granularity (String) —

    Sets the AWS cost granularity to MONTHLY or DAILY. If Granularity isn't set, the response object doesn't include the Granularity, either MONTHLY or DAILY.

    The GetCostAndUsageRequest operation supports only DAILY and MONTHLY granularities.

  • :filter (Types::Expression) —

    Filters AWS costs by different dimensions. For example, you can specify SERVICE and LINKED_ACCOUNT and get the costs that are associated with that account's usage of that service. You can nest Expression objects to define any combination of dimension filters. For more information, see Expression.

  • :metrics (Array<String>) —

    Which metrics are returned in the query. For more information about blended and unblended rates, see Why does the "blended" annotation appear on some line items in my bill?.

    Valid values are AmortizedCost, BlendedCost, NetAmortizedCost, NetUnblendedCost, NormalizedUsageAmount, UnblendedCost, and UsageQuantity.

    If you return the UsageQuantity metric, the service aggregates all usage numbers without taking into account the units. For example, if you aggregate usageQuantity across all of Amazon EC2, the results aren't meaningful because Amazon EC2 compute hours and data transfer are measured in different units (for example, hours vs. GB). To get more meaningful UsageQuantity metrics, filter by UsageType or UsageTypeGroups.

    Metrics is required for GetCostAndUsage requests.

  • :group_by (Array<Types::GroupDefinition>) —

    You can group AWS costs using up to two different groups, either dimensions, tag keys, or both.

    When you group by tag key, you get all tag values, including empty strings.

    Valid values are AZ, INSTANCE_TYPE, LEGAL_ENTITY_NAME, LINKED_ACCOUNT, OPERATION, PLATFORM, PURCHASE_TYPE, SERVICE, TAGS, TENANCY, and USAGE_TYPE.

  • :next_page_token (String) —

    The token to retrieve the next set of results. AWS provides the token when the response from a previous call has more results than the maximum page size.

Returns:

See Also:



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# File 'gems/aws-sdk-costexplorer/lib/aws-sdk-costexplorer/client.rb', line 369

def get_cost_and_usage(params = {}, options = {})
  req = build_request(:get_cost_and_usage, params)
  req.send_request(options)
end

#get_cost_forecast(params = {}) ⇒ Types::GetCostForecastResponse

Retrieves a forecast for how much Amazon Web Services predicts that you will spend over the forecast time period that you select, based on your past costs.

Examples:

Request syntax with placeholder values


resp = client.get_cost_forecast({
  time_period: { # required
    start: "YearMonthDay", # required
    end: "YearMonthDay", # required
  },
  metric: "BLENDED_COST", # required, accepts BLENDED_COST, UNBLENDED_COST, AMORTIZED_COST, NET_UNBLENDED_COST, NET_AMORTIZED_COST, USAGE_QUANTITY, NORMALIZED_USAGE_AMOUNT
  granularity: "DAILY", # required, accepts DAILY, MONTHLY, HOURLY
  filter: {
    or: [
      {
        # recursive Expression
      },
    ],
    and: [
      {
        # recursive Expression
      },
    ],
    not: {
      # recursive Expression
    },
    dimensions: {
      key: "AZ", # accepts AZ, INSTANCE_TYPE, LINKED_ACCOUNT, OPERATION, PURCHASE_TYPE, REGION, SERVICE, USAGE_TYPE, USAGE_TYPE_GROUP, RECORD_TYPE, OPERATING_SYSTEM, TENANCY, SCOPE, PLATFORM, SUBSCRIPTION_ID, LEGAL_ENTITY_NAME, DEPLOYMENT_OPTION, DATABASE_ENGINE, CACHE_ENGINE, INSTANCE_TYPE_FAMILY, BILLING_ENTITY, RESERVATION_ID
      values: ["Value"],
    },
    tags: {
      key: "TagKey",
      values: ["Value"],
    },
  },
  prediction_interval_level: 1,
})

Response structure


resp.total.amount #=> String
resp.total.unit #=> String
resp.forecast_results_by_time #=> Array
resp.forecast_results_by_time[0].time_period.start #=> String
resp.forecast_results_by_time[0].time_period.end #=> String
resp.forecast_results_by_time[0].mean_value #=> String
resp.forecast_results_by_time[0].prediction_interval_lower_bound #=> String
resp.forecast_results_by_time[0].prediction_interval_upper_bound #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :time_period (required, Types::DateInterval) —

    The period of time that you want the forecast to cover.

  • :metric (required, String) —

    Which metric Cost Explorer uses to create your forecast. For more information about blended and unblended rates, see Why does the "blended" annotation appear on some line items in my bill?.

    Valid values for a GetCostForecast call are the following:

    • AmortizedCost

    • BlendedCost

    • NetAmortizedCost

    • NetUnblendedCost

    • UnblendedCost

  • :granularity (required, String) —

    How granular you want the forecast to be. You can get 3 months of DAILY forecasts or 12 months of MONTHLY forecasts.

    The GetCostForecast operation supports only DAILY and MONTHLY granularities.

  • :filter (Types::Expression) —

    The filters that you want to use to filter your forecast. Cost Explorer API supports all of the Cost Explorer filters.

  • :prediction_interval_level (Integer) —

    Cost Explorer always returns the mean forecast as a single point. You can request a prediction interval around the mean by specifying a confidence level. The higher the confidence level, the more confident Cost Explorer is about the actual value falling in the prediction interval. Higher confidence levels result in wider prediction intervals.

Returns:

See Also:



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# File 'gems/aws-sdk-costexplorer/lib/aws-sdk-costexplorer/client.rb', line 476

def get_cost_forecast(params = {}, options = {})
  req = build_request(:get_cost_forecast, params)
  req.send_request(options)
end

#get_dimension_values(params = {}) ⇒ Types::GetDimensionValuesResponse

Retrieves all available filter values for a specified filter over a period of time. You can search the dimension values for an arbitrary string.

Examples:

Request syntax with placeholder values


resp = client.get_dimension_values({
  search_string: "SearchString",
  time_period: { # required
    start: "YearMonthDay", # required
    end: "YearMonthDay", # required
  },
  dimension: "AZ", # required, accepts AZ, INSTANCE_TYPE, LINKED_ACCOUNT, OPERATION, PURCHASE_TYPE, REGION, SERVICE, USAGE_TYPE, USAGE_TYPE_GROUP, RECORD_TYPE, OPERATING_SYSTEM, TENANCY, SCOPE, PLATFORM, SUBSCRIPTION_ID, LEGAL_ENTITY_NAME, DEPLOYMENT_OPTION, DATABASE_ENGINE, CACHE_ENGINE, INSTANCE_TYPE_FAMILY, BILLING_ENTITY, RESERVATION_ID
  context: "COST_AND_USAGE", # accepts COST_AND_USAGE, RESERVATIONS
  next_page_token: "NextPageToken",
})

Response structure


resp.dimension_values #=> Array
resp.dimension_values[0].value #=> String
resp.dimension_values[0].attributes #=> Hash
resp.dimension_values[0].attributes["AttributeType"] #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.return_size #=> Integer
resp.total_size #=> Integer
resp.next_page_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :search_string (String) —

    The value that you want to search the filter values for.

  • :time_period (required, Types::DateInterval) —

    The start and end dates for retrieving the dimension values. The start date is inclusive, but the end date is exclusive. For example, if start is 2017-01-01 and end is 2017-05-01, then the cost and usage data is retrieved from 2017-01-01 up to and including 2017-04-30 but not including 2017-05-01.

  • :dimension (required, String) —

    The name of the dimension. Each Dimension is available for a different Context. For more information, see Context.

  • :context (String) —

    The context for the call to GetDimensionValues. This can be RESERVATIONS or COST_AND_USAGE. The default value is COST_AND_USAGE. If the context is set to RESERVATIONS, the resulting dimension values can be used in the GetReservationUtilization operation. If the context is set to COST_AND_USAGE, the resulting dimension values can be used in the GetCostAndUsage operation.

    If you set the context to COST_AND_USAGE, you can use the following dimensions for searching:

    • AZ - The Availability Zone. An example is us-east-1a.

    • DATABASE_ENGINE - The Amazon Relational Database Service database. Examples are Aurora or MySQL.

    • INSTANCE_TYPE - The type of Amazon EC2 instance. An example is m4.xlarge.

    • LEGAL_ENTITY_NAME - The name of the organization that sells you AWS services, such as Amazon Web Services.

    • LINKED_ACCOUNT - The description in the attribute map that includes the full name of the member account. The value field contains the AWS ID of the member account.

    • OPERATING_SYSTEM - The operating system. Examples are Windows or Linux.

    • OPERATION - The action performed. Examples include RunInstance and CreateBucket.

    • PLATFORM - The Amazon EC2 operating system. Examples are Windows or Linux.

    • PURCHASE_TYPE - The reservation type of the purchase to which this usage is related. Examples include On-Demand Instances and Standard Reserved Instances.

    • SERVICE - The AWS service such as Amazon DynamoDB.

    • USAGE_TYPE - The type of usage. An example is DataTransfer-In-Bytes. The response for the GetDimensionValues operation includes a unit attribute. Examples include GB and Hrs.

    • USAGE_TYPE_GROUP - The grouping of common usage types. An example is Amazon EC2: CloudWatch – Alarms. The response for this operation includes a unit attribute.

    • RECORD_TYPE - The different types of charges such as RI fees, usage costs, tax refunds, and credits.

    If you set the context to RESERVATIONS, you can use the following dimensions for searching:

    • AZ - The Availability Zone. An example is us-east-1a.

    • CACHE_ENGINE - The Amazon ElastiCache operating system. Examples are Windows or Linux.

    • DEPLOYMENT_OPTION - The scope of Amazon Relational Database Service deployments. Valid values are SingleAZ and MultiAZ.

    • INSTANCE_TYPE - The type of Amazon EC2 instance. An example is m4.xlarge.

    • LINKED_ACCOUNT - The description in the attribute map that includes the full name of the member account. The value field contains the AWS ID of the member account.

    • PLATFORM - The Amazon EC2 operating system. Examples are Windows or Linux.

    • REGION - The AWS Region.

    • SCOPE (Utilization only) - The scope of a Reserved Instance (RI). Values are regional or a single Availability Zone.

    • TAG (Coverage only) - The tags that are associated with a Reserved Instance (RI).

    • TENANCY - The tenancy of a resource. Examples are shared or dedicated.

  • :next_page_token (String) —

    The token to retrieve the next set of results. AWS provides the token when the response from a previous call has more results than the maximum page size.

Returns:

See Also:



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# File 'gems/aws-sdk-costexplorer/lib/aws-sdk-costexplorer/client.rb', line 623

def get_dimension_values(params = {}, options = {})
  req = build_request(:get_dimension_values, params)
  req.send_request(options)
end

#get_reservation_coverage(params = {}) ⇒ Types::GetReservationCoverageResponse

Retrieves the reservation coverage for your account. This enables you to see how much of your Amazon Elastic Compute Cloud, Amazon ElastiCache, Amazon Relational Database Service, or Amazon Redshift usage is covered by a reservation. An organization's master account can see the coverage of the associated member accounts. For any time period, you can filter data about reservation usage by the following dimensions:

  • AZ

  • CACHE_ENGINE

  • DATABASE_ENGINE

  • DEPLOYMENT_OPTION

  • INSTANCE_TYPE

  • LINKED_ACCOUNT

  • OPERATING_SYSTEM

  • PLATFORM

  • REGION

  • SERVICE

  • TAG

  • TENANCY

To determine valid values for a dimension, use the GetDimensionValues operation.

Examples:

Request syntax with placeholder values


resp = client.get_reservation_coverage({
  time_period: { # required
    start: "YearMonthDay", # required
    end: "YearMonthDay", # required
  },
  group_by: [
    {
      type: "DIMENSION", # accepts DIMENSION, TAG
      key: "GroupDefinitionKey",
    },
  ],
  granularity: "DAILY", # accepts DAILY, MONTHLY, HOURLY
  filter: {
    or: [
      {
        # recursive Expression
      },
    ],
    and: [
      {
        # recursive Expression
      },
    ],
    not: {
      # recursive Expression
    },
    dimensions: {
      key: "AZ", # accepts AZ, INSTANCE_TYPE, LINKED_ACCOUNT, OPERATION, PURCHASE_TYPE, REGION, SERVICE, USAGE_TYPE, USAGE_TYPE_GROUP, RECORD_TYPE, OPERATING_SYSTEM, TENANCY, SCOPE, PLATFORM, SUBSCRIPTION_ID, LEGAL_ENTITY_NAME, DEPLOYMENT_OPTION, DATABASE_ENGINE, CACHE_ENGINE, INSTANCE_TYPE_FAMILY, BILLING_ENTITY, RESERVATION_ID
      values: ["Value"],
    },
    tags: {
      key: "TagKey",
      values: ["Value"],
    },
  },
  metrics: ["MetricName"],
  next_page_token: "NextPageToken",
})

Response structure


resp.coverages_by_time #=> Array
resp.coverages_by_time[0].time_period.start #=> String
resp.coverages_by_time[0].time_period.end #=> String
resp.coverages_by_time[0].groups #=> Array
resp.coverages_by_time[0].groups[0].attributes #=> Hash
resp.coverages_by_time[0].groups[0].attributes["AttributeType"] #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.coverages_by_time[0].groups[0].coverage.coverage_hours.on_demand_hours #=> String
resp.coverages_by_time[0].groups[0].coverage.coverage_hours.reserved_hours #=> String
resp.coverages_by_time[0].groups[0].coverage.coverage_hours.total_running_hours #=> String
resp.coverages_by_time[0].groups[0].coverage.coverage_hours.coverage_hours_percentage #=> String
resp.coverages_by_time[0].groups[0].coverage.coverage_normalized_units.on_demand_normalized_units #=> String
resp.coverages_by_time[0].groups[0].coverage.coverage_normalized_units.reserved_normalized_units #=> String
resp.coverages_by_time[0].groups[0].coverage.coverage_normalized_units.total_running_normalized_units #=> String
resp.coverages_by_time[0].groups[0].coverage.coverage_normalized_units.coverage_normalized_units_percentage #=> String
resp.coverages_by_time[0].groups[0].coverage.coverage_cost.on_demand_cost #=> String
resp.coverages_by_time[0].total.coverage_hours.on_demand_hours #=> String
resp.coverages_by_time[0].total.coverage_hours.reserved_hours #=> String
resp.coverages_by_time[0].total.coverage_hours.total_running_hours #=> String
resp.coverages_by_time[0].total.coverage_hours.coverage_hours_percentage #=> String
resp.coverages_by_time[0].total.coverage_normalized_units.on_demand_normalized_units #=> String
resp.coverages_by_time[0].total.coverage_normalized_units.reserved_normalized_units #=> String
resp.coverages_by_time[0].total.coverage_normalized_units.total_running_normalized_units #=> String
resp.coverages_by_time[0].total.coverage_normalized_units.coverage_normalized_units_percentage #=> String
resp.coverages_by_time[0].total.coverage_cost.on_demand_cost #=> String
resp.total.coverage_hours.on_demand_hours #=> String
resp.total.coverage_hours.reserved_hours #=> String
resp.total.coverage_hours.total_running_hours #=> String
resp.total.coverage_hours.coverage_hours_percentage #=> String
resp.total.coverage_normalized_units.on_demand_normalized_units #=> String
resp.total.coverage_normalized_units.reserved_normalized_units #=> String
resp.total.coverage_normalized_units.total_running_normalized_units #=> String
resp.total.coverage_normalized_units.coverage_normalized_units_percentage #=> String
resp.total.coverage_cost.on_demand_cost #=> String
resp.next_page_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :time_period (required, Types::DateInterval) —

    The start and end dates of the period that you want to retrieve data about reservation coverage for. You can retrieve data for a maximum of 13 months: the last 12 months and the current month. The start date is inclusive, but the end date is exclusive. For example, if start is 2017-01-01 and end is 2017-05-01, then the cost and usage data is retrieved from 2017-01-01 up to and including 2017-04-30 but not including 2017-05-01.

  • :group_by (Array<Types::GroupDefinition>) —

    You can group the data by the following attributes:

    • AZ

    • CACHE_ENGINE

    • DATABASE_ENGINE

    • DEPLOYMENT_OPTION

    • INSTANCE_TYPE

    • LINKED_ACCOUNT

    • OPERATING_SYSTEM

    • PLATFORM

    • REGION

    • TENANCY

  • :granularity (String) —

    The granularity of the AWS cost data for the reservation. Valid values are MONTHLY and DAILY.

    If GroupBy is set, Granularity can't be set. If Granularity isn't set, the response object doesn't include Granularity, either MONTHLY or DAILY.

    The GetReservationCoverage operation supports only DAILY and MONTHLY granularities.

  • :filter (Types::Expression) —

    Filters utilization data by dimensions. You can filter by the following dimensions:

    • AZ

    • CACHE_ENGINE

    • DATABASE_ENGINE

    • DEPLOYMENT_OPTION

    • INSTANCE_TYPE

    • LINKED_ACCOUNT

    • OPERATING_SYSTEM

    • PLATFORM

    • REGION

    • SERVICE

    • TAG

    • TENANCY

    GetReservationCoverage uses the same Expression object as the other operations, but only AND is supported among each dimension. You can nest only one level deep. If there are multiple values for a dimension, they are OR'd together.

    If you don't provide a SERVICE filter, Cost Explorer defaults to EC2.

  • :metrics (Array<String>) —

    The measurement that you want your reservation coverage reported in.

    Valid values are Hour, Unit, and Cost. You can use multiple values in a request.

  • :next_page_token (String) —

    The token to retrieve the next set of results. AWS provides the token when the response from a previous call has more results than the maximum page size.

Returns:

See Also:



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# File 'gems/aws-sdk-costexplorer/lib/aws-sdk-costexplorer/client.rb', line 845

def get_reservation_coverage(params = {}, options = {})
  req = build_request(:get_reservation_coverage, params)
  req.send_request(options)
end

#get_reservation_purchase_recommendation(params = {}) ⇒ Types::GetReservationPurchaseRecommendationResponse

Gets recommendations for which reservations to purchase. These recommendations could help you reduce your costs. Reservations provide a discounted hourly rate (up to 75%) compared to On-Demand pricing.

AWS generates your recommendations by identifying your On-Demand usage during a specific time period and collecting your usage into categories that are eligible for a reservation. After AWS has these categories, it simulates every combination of reservations in each category of usage to identify the best number of each type of RI to purchase to maximize your estimated savings.

For example, AWS automatically aggregates your Amazon EC2 Linux, shared tenancy, and c4 family usage in the US West (Oregon) Region and recommends that you buy size-flexible regional reservations to apply to the c4 family usage. AWS recommends the smallest size instance in an instance family. This makes it easier to purchase a size-flexible RI. AWS also shows the equal number of normalized units so that you can purchase any instance size that you want. For this example, your RI recommendation would be for c4.large because that is the smallest size instance in the c4 instance family.

Examples:

Request syntax with placeholder values


resp = client.get_reservation_purchase_recommendation({
  account_id: "GenericString",
  service: "GenericString", # required
  account_scope: "PAYER", # accepts PAYER, LINKED
  lookback_period_in_days: "SEVEN_DAYS", # accepts SEVEN_DAYS, THIRTY_DAYS, SIXTY_DAYS
  term_in_years: "ONE_YEAR", # accepts ONE_YEAR, THREE_YEARS
  payment_option: "NO_UPFRONT", # accepts NO_UPFRONT, PARTIAL_UPFRONT, ALL_UPFRONT, LIGHT_UTILIZATION, MEDIUM_UTILIZATION, HEAVY_UTILIZATION
  service_specification: {
    ec2_specification: {
      offering_class: "STANDARD", # accepts STANDARD, CONVERTIBLE
    },
  },
  page_size: 1,
  next_page_token: "NextPageToken",
})

Response structure


resp.metadata.recommendation_id #=> String
resp.metadata.generation_timestamp #=> String
resp.recommendations #=> Array
resp.recommendations[0]. #=> String, one of "PAYER", "LINKED"
resp.recommendations[0].lookback_period_in_days #=> String, one of "SEVEN_DAYS", "THIRTY_DAYS", "SIXTY_DAYS"
resp.recommendations[0].term_in_years #=> String, one of "ONE_YEAR", "THREE_YEARS"
resp.recommendations[0].payment_option #=> String, one of "NO_UPFRONT", "PARTIAL_UPFRONT", "ALL_UPFRONT", "LIGHT_UTILIZATION", "MEDIUM_UTILIZATION", "HEAVY_UTILIZATION"
resp.recommendations[0].service_specification.ec2_specification.offering_class #=> String, one of "STANDARD", "CONVERTIBLE"
resp.recommendations[0].recommendation_details #=> Array
resp.recommendations[0].recommendation_details[0]. #=> String
resp.recommendations[0].recommendation_details[0].instance_details.ec2_instance_details.family #=> String
resp.recommendations[0].recommendation_details[0].instance_details.ec2_instance_details.instance_type #=> String
resp.recommendations[0].recommendation_details[0].instance_details.ec2_instance_details.region #=> String
resp.recommendations[0].recommendation_details[0].instance_details.ec2_instance_details.availability_zone #=> String
resp.recommendations[0].recommendation_details[0].instance_details.ec2_instance_details.platform #=> String
resp.recommendations[0].recommendation_details[0].instance_details.ec2_instance_details.tenancy #=> String
resp.recommendations[0].recommendation_details[0].instance_details.ec2_instance_details.current_generation #=> Boolean
resp.recommendations[0].recommendation_details[0].instance_details.ec2_instance_details.size_flex_eligible #=> Boolean
resp.recommendations[0].recommendation_details[0].instance_details.rds_instance_details.family #=> String
resp.recommendations[0].recommendation_details[0].instance_details.rds_instance_details.instance_type #=> String
resp.recommendations[0].recommendation_details[0].instance_details.rds_instance_details.region #=> String
resp.recommendations[0].recommendation_details[0].instance_details.rds_instance_details.database_engine #=> String
resp.recommendations[0].recommendation_details[0].instance_details.rds_instance_details.database_edition #=> String
resp.recommendations[0].recommendation_details[0].instance_details.rds_instance_details.deployment_option #=> String
resp.recommendations[0].recommendation_details[0].instance_details.rds_instance_details.license_model #=> String
resp.recommendations[0].recommendation_details[0].instance_details.rds_instance_details.current_generation #=> Boolean
resp.recommendations[0].recommendation_details[0].instance_details.rds_instance_details.size_flex_eligible #=> Boolean
resp.recommendations[0].recommendation_details[0].instance_details.redshift_instance_details.family #=> String
resp.recommendations[0].recommendation_details[0].instance_details.redshift_instance_details.node_type #=> String
resp.recommendations[0].recommendation_details[0].instance_details.redshift_instance_details.region #=> String
resp.recommendations[0].recommendation_details[0].instance_details.redshift_instance_details.current_generation #=> Boolean
resp.recommendations[0].recommendation_details[0].instance_details.redshift_instance_details.size_flex_eligible #=> Boolean
resp.recommendations[0].recommendation_details[0].instance_details.elasticache_instance_details.family #=> String
resp.recommendations[0].recommendation_details[0].instance_details.elasticache_instance_details.node_type #=> String
resp.recommendations[0].recommendation_details[0].instance_details.elasticache_instance_details.region #=> String
resp.recommendations[0].recommendation_details[0].instance_details.elasticache_instance_details.product_description #=> String
resp.recommendations[0].recommendation_details[0].instance_details.elasticache_instance_details.current_generation #=> Boolean
resp.recommendations[0].recommendation_details[0].instance_details.elasticache_instance_details.size_flex_eligible #=> Boolean
resp.recommendations[0].recommendation_details[0].instance_details.es_instance_details.instance_class #=> String
resp.recommendations[0].recommendation_details[0].instance_details.es_instance_details.instance_size #=> String
resp.recommendations[0].recommendation_details[0].instance_details.es_instance_details.region #=> String
resp.recommendations[0].recommendation_details[0].instance_details.es_instance_details.current_generation #=> Boolean
resp.recommendations[0].recommendation_details[0].instance_details.es_instance_details.size_flex_eligible #=> Boolean
resp.recommendations[0].recommendation_details[0].recommended_number_of_instances_to_purchase #=> String
resp.recommendations[0].recommendation_details[0].recommended_normalized_units_to_purchase #=> String
resp.recommendations[0].recommendation_details[0].minimum_number_of_instances_used_per_hour #=> String
resp.recommendations[0].recommendation_details[0].minimum_normalized_units_used_per_hour #=> String
resp.recommendations[0].recommendation_details[0].maximum_number_of_instances_used_per_hour #=> String
resp.recommendations[0].recommendation_details[0].maximum_normalized_units_used_per_hour #=> String
resp.recommendations[0].recommendation_details[0].average_number_of_instances_used_per_hour #=> String
resp.recommendations[0].recommendation_details[0].average_normalized_units_used_per_hour #=> String
resp.recommendations[0].recommendation_details[0].average_utilization #=> String
resp.recommendations[0].recommendation_details[0].estimated_break_even_in_months #=> String
resp.recommendations[0].recommendation_details[0].currency_code #=> String
resp.recommendations[0].recommendation_details[0].estimated_monthly_savings_amount #=> String
resp.recommendations[0].recommendation_details[0].estimated_monthly_savings_percentage #=> String
resp.recommendations[0].recommendation_details[0].estimated_monthly_on_demand_cost #=> String
resp.recommendations[0].recommendation_details[0].estimated_reservation_cost_for_lookback_period #=> String
resp.recommendations[0].recommendation_details[0].upfront_cost #=> String
resp.recommendations[0].recommendation_details[0].recurring_standard_monthly_cost #=> String
resp.recommendations[0].recommendation_summary.total_estimated_monthly_savings_amount #=> String
resp.recommendations[0].recommendation_summary.total_estimated_monthly_savings_percentage #=> String
resp.recommendations[0].recommendation_summary.currency_code #=> String
resp.next_page_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :account_id (String) —

    The account ID that is associated with the recommendation.

  • :service (required, String) —

    The specific service that you want recommendations for.

  • :account_scope (String) —

    The account scope that you want recommendations for. PAYER means that AWS includes the master account and any member accounts when it calculates its recommendations. LINKED means that AWS includes only member accounts when it calculates its recommendations.

    Valid values are PAYER and LINKED.

  • :lookback_period_in_days (String) —

    The number of previous days that you want AWS to consider when it calculates your recommendations.

  • :term_in_years (String) —

    The reservation term that you want recommendations for.

  • :payment_option (String) —

    The reservation purchase option that you want recommendations for.

  • :service_specification (Types::ServiceSpecification) —

    The hardware specifications for the service instances that you want recommendations for, such as standard or convertible Amazon EC2 instances.

  • :page_size (Integer) —

    The number of recommendations that you want returned in a single response object.

  • :next_page_token (String) —

    The pagination token that indicates the next set of results that you want to retrieve.

Returns:

See Also:



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# File 'gems/aws-sdk-costexplorer/lib/aws-sdk-costexplorer/client.rb', line 1003

def get_reservation_purchase_recommendation(params = {}, options = {})
  req = build_request(:get_reservation_purchase_recommendation, params)
  req.send_request(options)
end

#get_reservation_utilization(params = {}) ⇒ Types::GetReservationUtilizationResponse

Retrieves the reservation utilization for your account. Master accounts in an organization have access to member accounts. You can filter data by dimensions in a time period. You can use GetDimensionValues to determine the possible dimension values. Currently, you can group only by SUBSCRIPTION_ID.

Examples:

Request syntax with placeholder values


resp = client.get_reservation_utilization({
  time_period: { # required
    start: "YearMonthDay", # required
    end: "YearMonthDay", # required
  },
  group_by: [
    {
      type: "DIMENSION", # accepts DIMENSION, TAG
      key: "GroupDefinitionKey",
    },
  ],
  granularity: "DAILY", # accepts DAILY, MONTHLY, HOURLY
  filter: {
    or: [
      {
        # recursive Expression
      },
    ],
    and: [
      {
        # recursive Expression
      },
    ],
    not: {
      # recursive Expression
    },
    dimensions: {
      key: "AZ", # accepts AZ, INSTANCE_TYPE, LINKED_ACCOUNT, OPERATION, PURCHASE_TYPE, REGION, SERVICE, USAGE_TYPE, USAGE_TYPE_GROUP, RECORD_TYPE, OPERATING_SYSTEM, TENANCY, SCOPE, PLATFORM, SUBSCRIPTION_ID, LEGAL_ENTITY_NAME, DEPLOYMENT_OPTION, DATABASE_ENGINE, CACHE_ENGINE, INSTANCE_TYPE_FAMILY, BILLING_ENTITY, RESERVATION_ID
      values: ["Value"],
    },
    tags: {
      key: "TagKey",
      values: ["Value"],
    },
  },
  next_page_token: "NextPageToken",
})

Response structure


resp.utilizations_by_time #=> Array
resp.utilizations_by_time[0].time_period.start #=> String
resp.utilizations_by_time[0].time_period.end #=> String
resp.utilizations_by_time[0].groups #=> Array
resp.utilizations_by_time[0].groups[0].key #=> String
resp.utilizations_by_time[0].groups[0].value #=> String
resp.utilizations_by_time[0].groups[0].attributes #=> Hash
resp.utilizations_by_time[0].groups[0].attributes["AttributeType"] #=> <Hash,Array,String,Numeric,Boolean,IO,Set,nil>
resp.utilizations_by_time[0].groups[0].utilization.utilization_percentage #=> String
resp.utilizations_by_time[0].groups[0].utilization.utilization_percentage_in_units #=> String
resp.utilizations_by_time[0].groups[0].utilization.purchased_hours #=> String
resp.utilizations_by_time[0].groups[0].utilization.purchased_units #=> String
resp.utilizations_by_time[0].groups[0].utilization.total_actual_hours #=> String
resp.utilizations_by_time[0].groups[0].utilization.total_actual_units #=> String
resp.utilizations_by_time[0].groups[0].utilization.unused_hours #=> String
resp.utilizations_by_time[0].groups[0].utilization.unused_units #=> String
resp.utilizations_by_time[0].groups[0].utilization.on_demand_cost_of_ri_hours_used #=> String
resp.utilizations_by_time[0].groups[0].utilization.net_ri_savings #=> String
resp.utilizations_by_time[0].groups[0].utilization.total_potential_ri_savings #=> String
resp.utilizations_by_time[0].groups[0].utilization.amortized_upfront_fee #=> String
resp.utilizations_by_time[0].groups[0].utilization.amortized_recurring_fee #=> String
resp.utilizations_by_time[0].groups[0].utilization.total_amortized_fee #=> String
resp.utilizations_by_time[0].total.utilization_percentage #=> String
resp.utilizations_by_time[0].total.utilization_percentage_in_units #=> String
resp.utilizations_by_time[0].total.purchased_hours #=> String
resp.utilizations_by_time[0].total.purchased_units #=> String
resp.utilizations_by_time[0].total.total_actual_hours #=> String
resp.utilizations_by_time[0].total.total_actual_units #=> String
resp.utilizations_by_time[0].total.unused_hours #=> String
resp.utilizations_by_time[0].total.unused_units #=> String
resp.utilizations_by_time[0].total.on_demand_cost_of_ri_hours_used #=> String
resp.utilizations_by_time[0].total.net_ri_savings #=> String
resp.utilizations_by_time[0].total.total_potential_ri_savings #=> String
resp.utilizations_by_time[0].total.amortized_upfront_fee #=> String
resp.utilizations_by_time[0].total.amortized_recurring_fee #=> String
resp.utilizations_by_time[0].total.total_amortized_fee #=> String
resp.total.utilization_percentage #=> String
resp.total.utilization_percentage_in_units #=> String
resp.total.purchased_hours #=> String
resp.total.purchased_units #=> String
resp.total.total_actual_hours #=> String
resp.total.total_actual_units #=> String
resp.total.unused_hours #=> String
resp.total.unused_units #=> String
resp.total.on_demand_cost_of_ri_hours_used #=> String
resp.total.net_ri_savings #=> String
resp.total.total_potential_ri_savings #=> String
resp.total.amortized_upfront_fee #=> String
resp.total.amortized_recurring_fee #=> String
resp.total.total_amortized_fee #=> String
resp.next_page_token #=> String

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :time_period (required, Types::DateInterval) —

    Sets the start and end dates for retrieving RI utilization. The start date is inclusive, but the end date is exclusive. For example, if start is 2017-01-01 and end is 2017-05-01, then the cost and usage data is retrieved from 2017-01-01 up to and including 2017-04-30 but not including 2017-05-01.

  • :group_by (Array<Types::GroupDefinition>) —

    Groups only by SUBSCRIPTION_ID. Metadata is included.

  • :granularity (String) —

    If GroupBy is set, Granularity can't be set. If Granularity isn't set, the response object doesn't include Granularity, either MONTHLY or DAILY. If both GroupBy and Granularity aren't set, GetReservationUtilization defaults to DAILY.

    The GetReservationUtilization operation supports only DAILY and MONTHLY granularities.

  • :filter (Types::Expression) —

    Filters utilization data by dimensions. You can filter by the following dimensions:

    • AZ

    • CACHE_ENGINE

    • DATABASE_ENGINE

    • DEPLOYMENT_OPTION

    • INSTANCE_TYPE

    • LINKED_ACCOUNT

    • OPERATING_SYSTEM

    • PLATFORM

    • REGION

    • SERVICE

    • SCOPE

    • TENANCY

    GetReservationUtilization uses the same Expression object as the other operations, but only AND is supported among each dimension, and nesting is supported up to only one level deep. If there are multiple values for a dimension, they are OR'd together.

  • :next_page_token (String) —

    The token to retrieve the next set of results. AWS provides the token when the response from a previous call has more results than the maximum page size.

Returns:

See Also:



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# File 'gems/aws-sdk-costexplorer/lib/aws-sdk-costexplorer/client.rb', line 1179

def get_reservation_utilization(params = {}, options = {})
  req = build_request(:get_reservation_utilization, params)
  req.send_request(options)
end

#get_tags(params = {}) ⇒ Types::GetTagsResponse

Queries for available tag keys and tag values for a specified period. You can search the tag values for an arbitrary string.

Examples:

Request syntax with placeholder values


resp = client.get_tags({
  search_string: "SearchString",
  time_period: { # required
    start: "YearMonthDay", # required
    end: "YearMonthDay", # required
  },
  tag_key: "TagKey",
  next_page_token: "NextPageToken",
})

Response structure


resp.next_page_token #=> String
resp.tags #=> Array
resp.tags[0] #=> String
resp.return_size #=> Integer
resp.total_size #=> Integer

Parameters:

  • params (Hash) (defaults to: {}) —

    ({})

Options Hash (params):

  • :search_string (String) —

    The value that you want to search for.

  • :time_period (required, Types::DateInterval) —

    The start and end dates for retrieving the dimension values. The start date is inclusive, but the end date is exclusive. For example, if start is 2017-01-01 and end is 2017-05-01, then the cost and usage data is retrieved from 2017-01-01 up to and including 2017-04-30 but not including 2017-05-01.

  • :tag_key (String) —

    The key of the tag that you want to return values for.

  • :next_page_token (String) —

    The token to retrieve the next set of results. AWS provides the token when the response from a previous call has more results than the maximum page size.

Returns:

See Also:



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# File 'gems/aws-sdk-costexplorer/lib/aws-sdk-costexplorer/client.rb', line 1236

def get_tags(params = {}, options = {})
  req = build_request(:get_tags, params)
  req.send_request(options)
end