Get Usage Forecast

costexplorer_get_usage_forecast

R Documentation

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

Description

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

Usage

costexplorer_get_usage_forecast(TimePeriod, Metric, Granularity, Filter,
  BillingViewArn, PredictionIntervalLevel)

Arguments

TimePeriod	[required] The start and end dates of the period that you want to retrieve usage forecast for. The start date is included in the period, but the end date isn't included in the period. 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. The start date must be equal to or later than the current date to avoid a validation error.
Metric	[required] Which metric Cost Explorer uses to create your forecast. Valid values for a get_usage_forecast call are the following: USAGE_QUANTITY NORMALIZED_USAGE_AMOUNT
Granularity	[required] How granular you want the forecast to be. You can get 3 months of DAILY forecasts or 12 months of MONTHLY forecasts. The get_usage_forecast operation supports only DAILY and MONTHLY granularities.
Filter	The filters that you want to use to filter your forecast. The get_usage_forecast API supports filtering by the following dimensions: AZ INSTANCE_TYPE LINKED_ACCOUNT LINKED_ACCOUNT_NAME 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 INSTANCE_TYPE_FAMILY BILLING_ENTITY RESERVATION_ID SAVINGS_PLAN_ARN
BillingViewArn	The Amazon Resource Name (ARN) that uniquely identifies a specific billing view. The ARN is used to specify which particular billing view you want to interact with or retrieve information from when making API calls related to Amazon Web Services Billing and Cost Management features. The BillingViewArn can be retrieved by calling the ListBillingViews API.
PredictionIntervalLevel	Amazon Web Services 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.

Value

A list with the following syntax:

list(
  Total = list(
    Amount = "string",
    Unit = "string"
  ),
  ForecastResultsByTime = list(
    list(
      TimePeriod = list(
        Start = "string",
        End = "string"
      ),
      MeanValue = "string",
      PredictionIntervalLowerBound = "string",
      PredictionIntervalUpperBound = "string"
    )
  )
)

Request syntax

svc$get_usage_forecast(
  TimePeriod = list(
    Start = "string",
    End = "string"
  ),
  Metric = "BLENDED_COST"|"UNBLENDED_COST"|"AMORTIZED_COST"|"NET_UNBLENDED_COST"|"NET_AMORTIZED_COST"|"USAGE_QUANTITY"|"NORMALIZED_USAGE_AMOUNT",
  Granularity = "DAILY"|"MONTHLY"|"HOURLY",
  Filter = list(
    Or = list(
      list()
    ),
    And = list(
      list()
    ),
    Not = list(),
    Dimensions = list(
      Key = "AZ"|"INSTANCE_TYPE"|"LINKED_ACCOUNT"|"LINKED_ACCOUNT_NAME"|"OPERATION"|"PURCHASE_TYPE"|"REGION"|"SERVICE"|"SERVICE_CODE"|"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"|"RESOURCE_ID"|"RIGHTSIZING_TYPE"|"SAVINGS_PLANS_TYPE"|"SAVINGS_PLAN_ARN"|"PAYMENT_OPTION"|"AGREEMENT_END_DATE_TIME_AFTER"|"AGREEMENT_END_DATE_TIME_BEFORE"|"INVOICING_ENTITY"|"ANOMALY_TOTAL_IMPACT_ABSOLUTE"|"ANOMALY_TOTAL_IMPACT_PERCENTAGE",
      Values = list(
        "string"
      ),
      MatchOptions = list(
        "EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE"|"GREATER_THAN_OR_EQUAL"
      )
    ),
    Tags = list(
      Key = "string",
      Values = list(
        "string"
      ),
      MatchOptions = list(
        "EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE"|"GREATER_THAN_OR_EQUAL"
      )
    ),
    CostCategories = list(
      Key = "string",
      Values = list(
        "string"
      ),
      MatchOptions = list(
        "EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE"|"GREATER_THAN_OR_EQUAL"
      )
    )
  ),
  BillingViewArn = "string",
  PredictionIntervalLevel = 123
)