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[ aws . ce ]

get-usage-forecast

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.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  get-usage-forecast
--time-period <value>
--metric <value>
--granularity <value>
[--filter <value>]
[--prediction-interval-level <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--time-period (structure)

The start and end dates of the period that you want to retrieve usage forecast for. 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 .

Shorthand Syntax:

Start=string,End=string

JSON Syntax:

{
  "Start": "string",
  "End": "string"
}

--metric (string)

Which metric Cost Explorer uses to create your forecast.

Valid values for a GetUsageForecast call are the following:

  • USAGE_QUANTITY
  • NORMALIZED_USAGE_AMOUNT

Possible values:

  • BLENDED_COST
  • UNBLENDED_COST
  • AMORTIZED_COST
  • NET_UNBLENDED_COST
  • NET_AMORTIZED_COST
  • USAGE_QUANTITY
  • NORMALIZED_USAGE_AMOUNT

--granularity (string)

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

The GetUsageForecast operation supports only DAILY and MONTHLY granularities.

Possible values:

  • DAILY
  • MONTHLY
  • HOURLY

--filter (structure)

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

JSON Syntax:

{
  "Or": [
    {
      "Or": [
        { ... recursive ... }
        ...
      ],
      "And": [
        { ... recursive ... }
        ...
      ],
      "Not": { ... recursive ... },
      "Dimensions": {
        "Key": "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"|"RIGHTSIZING_TYPE",
        "Values": ["string", ...]
      },
      "Tags": {
        "Key": "string",
        "Values": ["string", ...]
      }
    }
    ...
  ],
  "And": [
    {
      "Or": [
        { ... recursive ... }
        ...
      ],
      "And": [
        { ... recursive ... }
        ...
      ],
      "Not": { ... recursive ... },
      "Dimensions": {
        "Key": "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"|"RIGHTSIZING_TYPE",
        "Values": ["string", ...]
      },
      "Tags": {
        "Key": "string",
        "Values": ["string", ...]
      }
    }
    ...
  ],
  "Not": {
    "Or": [
      { ... recursive ... }
      ...
    ],
    "And": [
      { ... recursive ... }
      ...
    ],
    "Not": { ... recursive ... },
    "Dimensions": {
      "Key": "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"|"RIGHTSIZING_TYPE",
      "Values": ["string", ...]
    },
    "Tags": {
      "Key": "string",
      "Values": ["string", ...]
    }
  },
  "Dimensions": {
    "Key": "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"|"RIGHTSIZING_TYPE",
    "Values": ["string", ...]
  },
  "Tags": {
    "Key": "string",
    "Values": ["string", ...]
  }
}

--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.

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See 'aws help' for descriptions of global parameters.

Output

Total -> (structure)

How much you're forecasted to use over the forecast period.

Amount -> (string)

The actual number that represents the metric.

Unit -> (string)

The unit that the metric is given in.

ForecastResultsByTime -> (list)

The forecasts for your query, in order. For DAILY forecasts, this is a list of days. For MONTHLY forecasts, this is a list of months.

(structure)

The forecast created for your query.

TimePeriod -> (structure)

The period of time that the forecast covers.

Start -> (string)

The beginning of the time period that you want the usage and costs for. The start date is inclusive. For example, if start is 2017-01-01 , AWS retrieves cost and usage data starting at 2017-01-01 up to the end date.

End -> (string)

The end of the time period that you want the usage and costs for. The end date is exclusive. For example, if end is 2017-05-01 , AWS retrieves cost and usage data from the start date up to, but not including, 2017-05-01 .

MeanValue -> (string)

The mean value of the forecast.

PredictionIntervalLowerBound -> (string)

The lower limit for the prediction interval.

PredictionIntervalUpperBound -> (string)

The upper limit for the prediction interval.