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[ aws . ce ]

get-reservation-coverage

Description

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 management account can see the coverage of the associated member accounts. This supports dimensions, Cost Categories, and nested expressions. 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.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  get-reservation-coverage
--time-period <value>
[--group-by <value>]
[--granularity <value>]
[--filter <value>]
[--metrics <value>]
[--next-page-token <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 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 .

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 .

Shorthand Syntax:

Start=string,End=string

JSON Syntax:

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

--group-by (list)

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

(structure)

Represents a group when you specify a group by criteria or in the response to a query with a specific grouping.

Type -> (string)

The string that represents the type of group.

Key -> (string)

The string that represents a key for a specified group.

Shorthand Syntax:

Type=string,Key=string ...

JSON Syntax:

[
  {
    "Type": "DIMENSION"|"TAG"|"COST_CATEGORY",
    "Key": "string"
  }
  ...
]

--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.

Possible values:

  • DAILY
  • MONTHLY
  • HOURLY

--filter (structure)

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.

Cost category is also supported.

Or -> (list)

Return results that match either Dimension object.

(structure)

Use Expression to filter by cost or by usage. There are two patterns:

  • Simple dimension values - You can set the dimension name and values for the filters that you plan to use. For example, you can filter for REGION==us-east-1 OR REGION==us-west-1 . For GetRightsizingRecommendation , the Region is a full name (for example, REGION==US East (N. Virginia) . The Expression example looks like: { "Dimensions": { "Key": "REGION", "Values": [ "us-east-1", “us-west-1” ] } } The list of dimension values are OR'd together to retrieve cost or usage data. You can create Expression and DimensionValues objects using either with* methods or set* methods in multiple lines.
  • Compound dimension values with logical operations - You can use multiple Expression types and the logical operators AND/OR/NOT to create a list of one or more Expression objects. This allows you to filter on more advanced options. For example, you can filter on ((REGION == us-east-1 OR REGION == us-west-1) OR (TAG.Type == Type1)) AND (USAGE_TYPE != DataTransfer) . The Expression for that looks like this: { "And": [ {"Or": [ {"Dimensions": { "Key": "REGION", "Values": [ "us-east-1", "us-west-1" ] }}, {"Tags": { "Key": "TagName", "Values": ["Value1"] } } ]}, {"Not": {"Dimensions": { "Key": "USAGE_TYPE", "Values": ["DataTransfer"] }}} ] }

Note

Because each Expression can have only one operator, the service returns an error if more than one is specified. The following example shows an Expression object that creates an error.

{ "And": [ ... ], "DimensionValues": { "Dimension": "USAGE_TYPE", "Values": [ "DataTransfer" ] } }

Note

For GetRightsizingRecommendation action, a combination of OR and NOT is not supported. OR is not supported between different dimensions, or dimensions and tags. NOT operators aren't supported. Dimensions are also limited to LINKED_ACCOUNT , REGION , or RIGHTSIZING_TYPE .

Or -> (list)

Return results that match either Dimension object.

( ... recursive ... )

And -> (list)

Return results that match both Dimension objects.

( ... recursive ... )

( ... recursive ... )Dimensions -> (structure)

The specific Dimension to use for Expression .

Key -> (string)

The names of the metadata types that you can use to filter and group your results. For example, AZ returns a list of Availability Zones.

Values -> (list)

The metadata values that you can use to filter and group your results. You can use GetDimensionValues to find specific values.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

Tags -> (structure)

The specific Tag to use for Expression .

Key -> (string)

The key for the tag.

Values -> (list)

The specific value of the tag.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

CostCategories -> (structure)

The filter based on CostCategory values.

Key -> (string)

The unique name of the Cost Category.

Values -> (list)

The specific value of the Cost Category.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for only applicable for actions related to cost category. The default values for MatchOptions is EQUALS and CASE_SENSITIVE .

(string)

And -> (list)

Return results that match both Dimension objects.

(structure)

Use Expression to filter by cost or by usage. There are two patterns:

  • Simple dimension values - You can set the dimension name and values for the filters that you plan to use. For example, you can filter for REGION==us-east-1 OR REGION==us-west-1 . For GetRightsizingRecommendation , the Region is a full name (for example, REGION==US East (N. Virginia) . The Expression example looks like: { "Dimensions": { "Key": "REGION", "Values": [ "us-east-1", “us-west-1” ] } } The list of dimension values are OR'd together to retrieve cost or usage data. You can create Expression and DimensionValues objects using either with* methods or set* methods in multiple lines.
  • Compound dimension values with logical operations - You can use multiple Expression types and the logical operators AND/OR/NOT to create a list of one or more Expression objects. This allows you to filter on more advanced options. For example, you can filter on ((REGION == us-east-1 OR REGION == us-west-1) OR (TAG.Type == Type1)) AND (USAGE_TYPE != DataTransfer) . The Expression for that looks like this: { "And": [ {"Or": [ {"Dimensions": { "Key": "REGION", "Values": [ "us-east-1", "us-west-1" ] }}, {"Tags": { "Key": "TagName", "Values": ["Value1"] } } ]}, {"Not": {"Dimensions": { "Key": "USAGE_TYPE", "Values": ["DataTransfer"] }}} ] }

Note

Because each Expression can have only one operator, the service returns an error if more than one is specified. The following example shows an Expression object that creates an error.

{ "And": [ ... ], "DimensionValues": { "Dimension": "USAGE_TYPE", "Values": [ "DataTransfer" ] } }

Note

For GetRightsizingRecommendation action, a combination of OR and NOT is not supported. OR is not supported between different dimensions, or dimensions and tags. NOT operators aren't supported. Dimensions are also limited to LINKED_ACCOUNT , REGION , or RIGHTSIZING_TYPE .

Or -> (list)

Return results that match either Dimension object.

( ... recursive ... )

And -> (list)

Return results that match both Dimension objects.

( ... recursive ... )

( ... recursive ... )Dimensions -> (structure)

The specific Dimension to use for Expression .

Key -> (string)

The names of the metadata types that you can use to filter and group your results. For example, AZ returns a list of Availability Zones.

Values -> (list)

The metadata values that you can use to filter and group your results. You can use GetDimensionValues to find specific values.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

Tags -> (structure)

The specific Tag to use for Expression .

Key -> (string)

The key for the tag.

Values -> (list)

The specific value of the tag.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

CostCategories -> (structure)

The filter based on CostCategory values.

Key -> (string)

The unique name of the Cost Category.

Values -> (list)

The specific value of the Cost Category.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for only applicable for actions related to cost category. The default values for MatchOptions is EQUALS and CASE_SENSITIVE .

(string)

Not -> (structure)

Return results that don't match a Dimension object.

Or -> (list)

Return results that match either Dimension object.

( ... recursive ... )

And -> (list)

Return results that match both Dimension objects.

( ... recursive ... )

( ... recursive ... )Dimensions -> (structure)

The specific Dimension to use for Expression .

Key -> (string)

The names of the metadata types that you can use to filter and group your results. For example, AZ returns a list of Availability Zones.

Values -> (list)

The metadata values that you can use to filter and group your results. You can use GetDimensionValues to find specific values.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

Tags -> (structure)

The specific Tag to use for Expression .

Key -> (string)

The key for the tag.

Values -> (list)

The specific value of the tag.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

CostCategories -> (structure)

The filter based on CostCategory values.

Key -> (string)

The unique name of the Cost Category.

Values -> (list)

The specific value of the Cost Category.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for only applicable for actions related to cost category. The default values for MatchOptions is EQUALS and CASE_SENSITIVE .

(string)

Dimensions -> (structure)

The specific Dimension to use for Expression .

Key -> (string)

The names of the metadata types that you can use to filter and group your results. For example, AZ returns a list of Availability Zones.

Values -> (list)

The metadata values that you can use to filter and group your results. You can use GetDimensionValues to find specific values.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

Tags -> (structure)

The specific Tag to use for Expression .

Key -> (string)

The key for the tag.

Values -> (list)

The specific value of the tag.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for actions related to Cost Category. The default values for MatchOptions are EQUALS and CASE_SENSITIVE .

(string)

CostCategories -> (structure)

The filter based on CostCategory values.

Key -> (string)

The unique name of the Cost Category.

Values -> (list)

The specific value of the Cost Category.

(string)

MatchOptions -> (list)

The match options that you can use to filter your results. MatchOptions is only applicable for only applicable for actions related to cost category. The default values for MatchOptions is EQUALS and CASE_SENSITIVE .

(string)

JSON Syntax:

{
  "Or": [
    {
      "Or": [
        { ... recursive ... }
        ...
      ],
      "And": [
        { ... recursive ... }
        ...
      ],
      "Not": { ... recursive ... },
      "Dimensions": {
        "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",
        "Values": ["string", ...],
        "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
      },
      "Tags": {
        "Key": "string",
        "Values": ["string", ...],
        "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
      },
      "CostCategories": {
        "Key": "string",
        "Values": ["string", ...],
        "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
      }
    }
    ...
  ],
  "And": [
    {
      "Or": [
        { ... recursive ... }
        ...
      ],
      "And": [
        { ... recursive ... }
        ...
      ],
      "Not": { ... recursive ... },
      "Dimensions": {
        "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",
        "Values": ["string", ...],
        "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
      },
      "Tags": {
        "Key": "string",
        "Values": ["string", ...],
        "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
      },
      "CostCategories": {
        "Key": "string",
        "Values": ["string", ...],
        "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
      }
    }
    ...
  ],
  "Not": {
    "Or": [
      { ... recursive ... }
      ...
    ],
    "And": [
      { ... recursive ... }
      ...
    ],
    "Not": { ... recursive ... },
    "Dimensions": {
      "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",
      "Values": ["string", ...],
      "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
    },
    "Tags": {
      "Key": "string",
      "Values": ["string", ...],
      "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
    },
    "CostCategories": {
      "Key": "string",
      "Values": ["string", ...],
      "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
    }
  },
  "Dimensions": {
    "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",
    "Values": ["string", ...],
    "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
  },
  "Tags": {
    "Key": "string",
    "Values": ["string", ...],
    "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
  },
  "CostCategories": {
    "Key": "string",
    "Values": ["string", ...],
    "MatchOptions": ["EQUALS"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
  }
}

--metrics (list)

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.

(string)

Syntax:

"string" "string" ...

--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.

--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.

Examples

To retrieve the reservation coverage for EC2 t2.nano instances in the us-east-1 region

This example retrieves the reservation coverage for EC2 t2.nano instances in the us-east-1 region for July-September of 2017.

Command:

aws ce get-reservation-coverage --time-period Start=2017-07-01,End=2017-10-01 --group-by Type=Dimension,Key=REGION --filter file://filters.json

filters.json:

{
   "And": [
     {
       "Dimensions": {
         "Key": "INSTANCE_TYPE",
         "Values": [
           "t2.nano"
         ]
       },
       "Dimensions": {
         "Key": "REGION",
         "Values": [
           "us-east-1"
         ]
       }
     }
   ]
 }

Output:

{
   "TotalSize": 6,
   "DimensionValues": [
       {
           "Attributes": {},
           "Value": "Amazon ElastiCache"
       },
       {
           "Attributes": {},
           "Value": "EC2 - Other"
       },
       {
           "Attributes": {},
           "Value": "Amazon Elastic Compute Cloud - Compute"
       },
       {
           "Attributes": {},
           "Value": "Amazon Elastic Load Balancing"
       },
       {
           "Attributes": {},
           "Value": "Amazon Elastic MapReduce"
       },
       {
           "Attributes": {},
           "Value": "Amazon Elasticsearch Service"
       }
   ],
   "ReturnSize": 6
}

Output

CoveragesByTime -> (list)

The amount of time that your reservations covered.

(structure)

Reservation coverage for a specified period, in hours.

TimePeriod -> (structure)

The period that this coverage was used over.

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 .

Groups -> (list)

The groups of instances that the reservation covered.

(structure)

A group of reservations that share a set of attributes.

Attributes -> (map)

The attributes for this group of reservations.

key -> (string)

value -> (string)

Coverage -> (structure)

How much instance usage this group of reservations covered.

CoverageHours -> (structure)

The amount of instance usage that the reservation covered, in hours.

OnDemandHours -> (string)

The number of instance running hours that On-Demand Instances covered.

ReservedHours -> (string)

The number of instance running hours that reservations covered.

TotalRunningHours -> (string)

The total instance usage, in hours.

CoverageHoursPercentage -> (string)

The percentage of instance hours that a reservation covered.

CoverageNormalizedUnits -> (structure)

The amount of instance usage that the reservation covered, in normalized units.

OnDemandNormalizedUnits -> (string)

The number of normalized units that are covered by On-Demand Instances instead of a reservation.

ReservedNormalizedUnits -> (string)

The number of normalized units that a reservation covers.

TotalRunningNormalizedUnits -> (string)

The total number of normalized units that you used.

CoverageNormalizedUnitsPercentage -> (string)

The percentage of your used instance normalized units that a reservation covers.

CoverageCost -> (structure)

The amount of cost that the reservation covered.

OnDemandCost -> (string)

How much an On-Demand Instance costs.

Total -> (structure)

The total reservation coverage, in hours.

CoverageHours -> (structure)

The amount of instance usage that the reservation covered, in hours.

OnDemandHours -> (string)

The number of instance running hours that On-Demand Instances covered.

ReservedHours -> (string)

The number of instance running hours that reservations covered.

TotalRunningHours -> (string)

The total instance usage, in hours.

CoverageHoursPercentage -> (string)

The percentage of instance hours that a reservation covered.

CoverageNormalizedUnits -> (structure)

The amount of instance usage that the reservation covered, in normalized units.

OnDemandNormalizedUnits -> (string)

The number of normalized units that are covered by On-Demand Instances instead of a reservation.

ReservedNormalizedUnits -> (string)

The number of normalized units that a reservation covers.

TotalRunningNormalizedUnits -> (string)

The total number of normalized units that you used.

CoverageNormalizedUnitsPercentage -> (string)

The percentage of your used instance normalized units that a reservation covers.

CoverageCost -> (structure)

The amount of cost that the reservation covered.

OnDemandCost -> (string)

How much an On-Demand Instance costs.

Total -> (structure)

The total amount of instance usage that a reservation covered.

CoverageHours -> (structure)

The amount of instance usage that the reservation covered, in hours.

OnDemandHours -> (string)

The number of instance running hours that On-Demand Instances covered.

ReservedHours -> (string)

The number of instance running hours that reservations covered.

TotalRunningHours -> (string)

The total instance usage, in hours.

CoverageHoursPercentage -> (string)

The percentage of instance hours that a reservation covered.

CoverageNormalizedUnits -> (structure)

The amount of instance usage that the reservation covered, in normalized units.

OnDemandNormalizedUnits -> (string)

The number of normalized units that are covered by On-Demand Instances instead of a reservation.

ReservedNormalizedUnits -> (string)

The number of normalized units that a reservation covers.

TotalRunningNormalizedUnits -> (string)

The total number of normalized units that you used.

CoverageNormalizedUnitsPercentage -> (string)

The percentage of your used instance normalized units that a reservation covers.

CoverageCost -> (structure)

The amount of cost that the reservation covered.

OnDemandCost -> (string)

How much an On-Demand Instance costs.

NextPageToken -> (string)

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