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.
get-reservation-coverage
--time-period <value>
[--group-by <value>]
[--granularity <value>]
[--filter <value>]
[--metrics <value>]
[--next-page-token <value>]
[--sort-by <value>]
[--max-results <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
--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
is2017-01-01
andend
is2017-05-01
, then the cost and usage data is retrieved from2017-01-01
up to and including2017-04-30
but not including2017-05-01
.Start -> (string)
The beginning of the time period. The start date is inclusive. For example, if
start
is2017-01-01
, AWS retrieves cost and usage data starting at2017-01-01
up to the end date. The start date must be equal to or no later than the current date to avoid a validation error.End -> (string)
The end of the time period. The end date is exclusive. For example, if
end
is2017-05-01
, 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
andDAILY
.If
GroupBy
is set,Granularity
can’t be set. IfGranularity
isn’t set, the response object doesn’t includeGranularity
, eitherMONTHLY
orDAILY
.The
GetReservationCoverage
operation supports onlyDAILY
andMONTHLY
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 onlyAND
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
. ForGetRightsizingRecommendation
, the Region is a full name (for example,REGION==US East (N. Virginia)
. TheExpression
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 createExpression
andDimensionValues
objects using eitherwith*
methods orset*
methods in multiple lines.Compound dimension values with logical operations - You can use multiple
Expression
types and the logical operatorsAND/OR/NOT
to create a list of one or moreExpression
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)
. TheExpression
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 anExpression
object that creates an error.
{ "And": [ ... ], "DimensionValues": { "Dimension": "USAGE_TYPE", "Values": [ "DataTransfer" ] } }
Note
For the
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 toLINKED_ACCOUNT
,REGION
, orRIGHTSIZING_TYPE
.For the
GetReservationPurchaseRecommendation
action, only NOT is supported. AND and OR are not supported. Dimensions are limited toLINKED_ACCOUNT
.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 forExpression
.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 forMatchOptions
areEQUALS
andCASE_SENSITIVE
.(string)
Tags -> (structure)
The specific
Tag
to use forExpression
.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 forMatchOptions
areEQUALS
andCASE_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 actions related to cost category. The default values for
MatchOptions
isEQUALS
andCASE_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
. ForGetRightsizingRecommendation
, the Region is a full name (for example,REGION==US East (N. Virginia)
. TheExpression
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 createExpression
andDimensionValues
objects using eitherwith*
methods orset*
methods in multiple lines.Compound dimension values with logical operations - You can use multiple
Expression
types and the logical operatorsAND/OR/NOT
to create a list of one or moreExpression
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)
. TheExpression
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 anExpression
object that creates an error.
{ "And": [ ... ], "DimensionValues": { "Dimension": "USAGE_TYPE", "Values": [ "DataTransfer" ] } }
Note
For the
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 toLINKED_ACCOUNT
,REGION
, orRIGHTSIZING_TYPE
.For the
GetReservationPurchaseRecommendation
action, only NOT is supported. AND and OR are not supported. Dimensions are limited toLINKED_ACCOUNT
.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 forExpression
.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 forMatchOptions
areEQUALS
andCASE_SENSITIVE
.(string)
Tags -> (structure)
The specific
Tag
to use forExpression
.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 forMatchOptions
areEQUALS
andCASE_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 actions related to cost category. The default values for
MatchOptions
isEQUALS
andCASE_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 forExpression
.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 forMatchOptions
areEQUALS
andCASE_SENSITIVE
.(string)
Tags -> (structure)
The specific
Tag
to use forExpression
.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 forMatchOptions
areEQUALS
andCASE_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 actions related to cost category. The default values for
MatchOptions
isEQUALS
andCASE_SENSITIVE
.(string)
Dimensions -> (structure)
The specific
Dimension
to use forExpression
.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 forMatchOptions
areEQUALS
andCASE_SENSITIVE
.(string)
Tags -> (structure)
The specific
Tag
to use forExpression
.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 forMatchOptions
areEQUALS
andCASE_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 actions related to cost category. The default values for
MatchOptions
isEQUALS
andCASE_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"|"AGREEMENT_END_DATE_TIME_AFTER"|"AGREEMENT_END_DATE_TIME_BEFORE",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
},
"Tags": {
"Key": "string",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
},
"CostCategories": {
"Key": "string",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"ABSENT"|"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"|"AGREEMENT_END_DATE_TIME_AFTER"|"AGREEMENT_END_DATE_TIME_BEFORE",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
},
"Tags": {
"Key": "string",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
},
"CostCategories": {
"Key": "string",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"ABSENT"|"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"|"AGREEMENT_END_DATE_TIME_AFTER"|"AGREEMENT_END_DATE_TIME_BEFORE",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
},
"Tags": {
"Key": "string",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
},
"CostCategories": {
"Key": "string",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"ABSENT"|"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"|"AGREEMENT_END_DATE_TIME_AFTER"|"AGREEMENT_END_DATE_TIME_BEFORE",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
},
"Tags": {
"Key": "string",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"ABSENT"|"STARTS_WITH"|"ENDS_WITH"|"CONTAINS"|"CASE_SENSITIVE"|"CASE_INSENSITIVE", ...]
},
"CostCategories": {
"Key": "string",
"Values": ["string", ...],
"MatchOptions": ["EQUALS"|"ABSENT"|"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
, andCost
. 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.
--sort-by
(structure)
The value by which you want to sort the data.
The following values are supported for
Key
:
OnDemandCost
CoverageHoursPercentage
OnDemandHours
ReservedHours
TotalRunningHours
CoverageNormalizedUnitsPercentage
OnDemandNormalizedUnits
ReservedNormalizedUnits
TotalRunningNormalizedUnits
Time
Supported values for
SortOrder
areASCENDING
orDESCENDING
.Key -> (string)
The key by which to sort the data.
SortOrder -> (string)
The order in which to sort the data.
Shorthand Syntax:
Key=string,SortOrder=string
JSON Syntax:
{
"Key": "string",
"SortOrder": "ASCENDING"|"DESCENDING"
}
--max-results
(integer)
The maximum number of objects that you returned for this request. If more objects are available, in the response, AWS provides a NextPageToken value that you can use in a subsequent call to get the next batch of objects.
--cli-input-json
| --cli-input-yaml
(string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, those 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. This may not be specified along with --cli-input-yaml
.
--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
. Similarly, if provided yaml-input
it will print a sample input YAML that can be used with --cli-input-yaml
. 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.
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
}
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. The start date is inclusive. For example, if
start
is2017-01-01
, AWS retrieves cost and usage data starting at2017-01-01
up to the end date. The start date must be equal to or no later than the current date to avoid a validation error.End -> (string)
The end of the time period. The end date is exclusive. For example, if
end
is2017-05-01
, 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.