Gets recommendations for reservation purchases. These recommendations might help you to reduce your costs. Reservations provide a discounted hourly rate (up to 75%) compared to On-Demand pricing.
Amazon Web Services 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 Amazon Web Services has these categories, it simulates every combination of reservations in each category of usage to identify the best number of each type of Reserved Instance (RI) to purchase to maximize your estimated savings.
For example, Amazon Web Services 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. Amazon Web Services recommends the smallest size instance in an instance family. This makes it easier to purchase a size-flexible Reserved Instance (RI). Amazon Web Services also shows the equal number of normalized units. This way, you can purchase any instance size that you want. For this example, your RI recommendation is for c4.large
because that is the smallest size instance in the c4 instance family.
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
get-reservation-purchase-recommendation
[--account-id <value>]
--service <value>
[--filter <value>]
[--account-scope <value>]
[--lookback-period-in-days <value>]
[--term-in-years <value>]
[--payment-option <value>]
[--service-specification <value>]
[--page-size <value>]
[--next-page-token <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
--account-id
(string)
The account ID that’s associated with the recommendation.
--service
(string)
The specific service that you want recommendations for.
--filter
(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 is as follows:{ "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. By doing this, you can 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 is as follows:{ "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 isn’t supported. OR isn’t 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 aren’t supported. Dimensions are limited toLINKED_ACCOUNT
.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 is as follows:{ "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. By doing this, you can 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 is as follows:{ "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 isn’t supported. OR isn’t 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 aren’t 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 that’s 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 is as follows:{ "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. By doing this, you can 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 is as follows:{ "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 isn’t supported. OR isn’t 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 aren’t 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 that’s 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 that’s 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 that’s 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"|"INVOICING_ENTITY",
"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"|"INVOICING_ENTITY",
"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"|"INVOICING_ENTITY",
"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"|"INVOICING_ENTITY",
"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", ...]
}
}
--account-scope
(string)
The account scope that you want your recommendations for. Amazon Web Services calculates recommendations including the management account and member accounts if the value is set to
PAYER
. If the value isLINKED
, recommendations are calculated for individual member accounts only.Possible values:
PAYER
LINKED
--lookback-period-in-days
(string)
The number of previous days that you want Amazon Web Services to consider when it calculates your recommendations.
Possible values:
SEVEN_DAYS
THIRTY_DAYS
SIXTY_DAYS
--term-in-years
(string)
The reservation term that you want recommendations for.
Possible values:
ONE_YEAR
THREE_YEARS
--payment-option
(string)
The reservation purchase option that you want recommendations for.
Possible values:
NO_UPFRONT
PARTIAL_UPFRONT
ALL_UPFRONT
LIGHT_UTILIZATION
MEDIUM_UTILIZATION
HEAVY_UTILIZATION
--service-specification
(structure)
The hardware specifications for the service instances that you want recommendations for, such as standard or convertible Amazon EC2 instances.
EC2Specification -> (structure)
The Amazon EC2 hardware specifications that you want Amazon Web Services to provide recommendations for.
OfferingClass -> (string)
Indicates whether you want a recommendation for standard or convertible reservations.
Shorthand Syntax:
EC2Specification={OfferingClass=string}
JSON Syntax:
{
"EC2Specification": {
"OfferingClass": "STANDARD"|"CONVERTIBLE"
}
}
--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.
--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. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.
See ‘aws help’ for descriptions of global parameters.
Note
To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.
Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal’s quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .
To retrieve the reservation recommendations for Partial Upfront EC2 RIs with a three year term
The following get-reservation-purchase-recommendation
example retrieves recommendations for Partial Upfront EC2 instances with a three-year term, based on the last 60 days of EC2 usage.
aws ce get-reservation-purchase-recommendation \
--service "Amazon Redshift" \
--lookback-period-in-days SIXTY_DAYS \
--term-in-years THREE_YEARS \
--payment-option PARTIAL_UPFRONT
Output:
{
"Recommendations": [],
"Metadata": {
"GenerationTimestamp": "2018-08-08T15:20:57Z",
"RecommendationId": "00d59dde-a1ad-473f-8ff2-iexample3330b"
}
}
Metadata -> (structure)
Information about this specific recommendation call, such as the time stamp for when Cost Explorer generated this recommendation.
RecommendationId -> (string)
The ID for this specific recommendation.
GenerationTimestamp -> (string)
The timestamp for when Amazon Web Services made this recommendation.
Recommendations -> (list)
Recommendations for reservations to purchase.
(structure)
A specific reservation that Amazon Web Services recommends for purchase.
AccountScope -> (string)
The account scope that Amazon Web Services recommends that you purchase this instance for. For example, you can purchase this reservation for an entire organization in Amazon Web Services Organizations.
LookbackPeriodInDays -> (string)
How many days of previous usage that Amazon Web Services considers when making this recommendation.
TermInYears -> (string)
The term of the reservation that you want recommendations for, in years.
PaymentOption -> (string)
The payment option for the reservation (for example,
AllUpfront
orNoUpfront
).ServiceSpecification -> (structure)
Hardware specifications for the service that you want recommendations for.
EC2Specification -> (structure)
The Amazon EC2 hardware specifications that you want Amazon Web Services to provide recommendations for.
OfferingClass -> (string)
Indicates whether you want a recommendation for standard or convertible reservations.
RecommendationDetails -> (list)
Details about the recommended purchases.
(structure)
Details about your recommended reservation purchase.
AccountId -> (string)
The account that this Reserved Instance (RI) recommendation is for.
InstanceDetails -> (structure)
Details about the instances that Amazon Web Services recommends that you purchase.
EC2InstanceDetails -> (structure)
The Amazon EC2 instances that Amazon Web Services recommends that you purchase.
Family -> (string)
The instance family of the recommended reservation.
InstanceType -> (string)
The type of instance that Amazon Web Services recommends.
Region -> (string)
The Amazon Web Services Region of the recommended reservation.
AvailabilityZone -> (string)
The Availability Zone of the recommended reservation.
Platform -> (string)
The platform of the recommended reservation. The platform is the specific combination of operating system, license model, and software on an instance.
Tenancy -> (string)
Determines whether the recommended reservation is dedicated or shared.
CurrentGeneration -> (boolean)
Determines whether the recommendation is for a current-generation instance.
SizeFlexEligible -> (boolean)
Determines whether the recommended reservation is size flexible.
RDSInstanceDetails -> (structure)
The Amazon RDS instances that Amazon Web Services recommends that you purchase.
Family -> (string)
The instance family of the recommended reservation.
InstanceType -> (string)
The type of instance that Amazon Web Services recommends.
Region -> (string)
The Amazon Web Services Region of the recommended reservation.
DatabaseEngine -> (string)
The database engine that the recommended reservation supports.
DatabaseEdition -> (string)
The database edition that the recommended reservation supports.
DeploymentOption -> (string)
Determines whether the recommendation is for a reservation in a single Availability Zone or a reservation with a backup in a second Availability Zone.
LicenseModel -> (string)
The license model that the recommended reservation supports.
CurrentGeneration -> (boolean)
Determines whether the recommendation is for a current-generation instance.
SizeFlexEligible -> (boolean)
Determines whether the recommended reservation is size flexible.
RedshiftInstanceDetails -> (structure)
The Amazon Redshift instances that Amazon Web Services recommends that you purchase.
Family -> (string)
The instance family of the recommended reservation.
NodeType -> (string)
The type of node that Amazon Web Services recommends.
Region -> (string)
The Amazon Web Services Region of the recommended reservation.
CurrentGeneration -> (boolean)
Determines whether the recommendation is for a current-generation instance.
SizeFlexEligible -> (boolean)
Determines whether the recommended reservation is size flexible.
ElastiCacheInstanceDetails -> (structure)
The ElastiCache instances that Amazon Web Services recommends that you purchase.
Family -> (string)
The instance family of the recommended reservation.
NodeType -> (string)
The type of node that Amazon Web Services recommends.
Region -> (string)
The Amazon Web Services Region of the recommended reservation.
ProductDescription -> (string)
The description of the recommended reservation.
CurrentGeneration -> (boolean)
Determines whether the recommendation is for a current generation instance.
SizeFlexEligible -> (boolean)
Determines whether the recommended reservation is size flexible.
ESInstanceDetails -> (structure)
The Amazon OpenSearch Service instances that Amazon Web Services recommends that you purchase.
InstanceClass -> (string)
The class of instance that Amazon Web Services recommends.
InstanceSize -> (string)
The size of instance that Amazon Web Services recommends.
Region -> (string)
The Amazon Web Services Region of the recommended reservation.
CurrentGeneration -> (boolean)
Determines whether the recommendation is for a current-generation instance.
SizeFlexEligible -> (boolean)
Determines whether the recommended reservation is size flexible.
RecommendedNumberOfInstancesToPurchase -> (string)
The number of instances that Amazon Web Services recommends that you purchase.
RecommendedNormalizedUnitsToPurchase -> (string)
The number of normalized units that Amazon Web Services recommends that you purchase.
MinimumNumberOfInstancesUsedPerHour -> (string)
The minimum number of instances that you used in an hour during the historical period. Amazon Web Services uses this to calculate your recommended reservation purchases.
MinimumNormalizedUnitsUsedPerHour -> (string)
The minimum number of normalized units that you used in an hour during the historical period. Amazon Web Services uses this to calculate your recommended reservation purchases.
MaximumNumberOfInstancesUsedPerHour -> (string)
The maximum number of instances that you used in an hour during the historical period. Amazon Web Services uses this to calculate your recommended reservation purchases.
MaximumNormalizedUnitsUsedPerHour -> (string)
The maximum number of normalized units that you used in an hour during the historical period. Amazon Web Services uses this to calculate your recommended reservation purchases.
AverageNumberOfInstancesUsedPerHour -> (string)
The average number of instances that you used in an hour during the historical period. Amazon Web Services uses this to calculate your recommended reservation purchases.
AverageNormalizedUnitsUsedPerHour -> (string)
The average number of normalized units that you used in an hour during the historical period. Amazon Web Services uses this to calculate your recommended reservation purchases.
AverageUtilization -> (string)
The average utilization of your instances. Amazon Web Services uses this to calculate your recommended reservation purchases.
EstimatedBreakEvenInMonths -> (string)
How long Amazon Web Services estimates that it takes for this instance to start saving you money, in months.
CurrencyCode -> (string)
The currency code that Amazon Web Services used to calculate the costs for this instance.
EstimatedMonthlySavingsAmount -> (string)
How much Amazon Web Services estimates that this specific recommendation might save you in a month.
EstimatedMonthlySavingsPercentage -> (string)
How much Amazon Web Services estimates that this specific recommendation might save you in a month, as a percentage of your overall costs.
EstimatedMonthlyOnDemandCost -> (string)
How much Amazon Web Services estimates that you spend on On-Demand Instances in a month.
EstimatedReservationCostForLookbackPeriod -> (string)
How much Amazon Web Services estimates that you might spend for all usage during the specified historical period if you had a reservation.
UpfrontCost -> (string)
How much purchasing this instance costs you upfront.
RecurringStandardMonthlyCost -> (string)
How much purchasing this instance costs you on a monthly basis.
RecommendationSummary -> (structure)
A summary about the recommended purchase.
TotalEstimatedMonthlySavingsAmount -> (string)
The total amount that Amazon Web Services estimates that this recommendation could save you in a month.
TotalEstimatedMonthlySavingsPercentage -> (string)
The total amount that Amazon Web Services estimates that this recommendation could save you in a month, as a percentage of your costs.
CurrencyCode -> (string)
The currency code used for this recommendation.
NextPageToken -> (string)
The pagination token for the next set of retrievable results.