Creates recommendations that help you save cost by identifying idle and underutilized Amazon EC2 instances
Source:R/costexplorer_operations.R
costexplorer_get_rightsizing_recommendation.RdCreates recommendations that help you save cost by identifying idle and underutilized Amazon EC2 instances.
See https://www.paws-r-sdk.com/docs/costexplorer_get_rightsizing_recommendation/ for full documentation.
Usage
costexplorer_get_rightsizing_recommendation(
Filter = NULL,
Configuration = NULL,
Service,
PageSize = NULL,
NextPageToken = NULL
)Arguments
- Filter
Use
Expressionto filter in various Cost Explorer APIs.Not all
Expressiontypes are supported in each API. Refer to the documentation for each specific API to see what is supported.There are two patterns:
Simple dimension values.
There are three types of simple dimension values:
CostCategories,Tags, andDimensions.Specify the
CostCategoriesfield to define a filter that acts on Cost Categories.Specify the
Tagsfield to define a filter that acts on Cost Allocation Tags.Specify the
Dimensionsfield to define a filter that acts on theDimensionValues.
For each filter type, 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. Forget_rightsizing_recommendation, the Region is a full name (for example,REGION==US East (N. Virginia).The corresponding
Expressionfor this example is as follows:{ "Dimensions": { "Key": "REGION", "Values": [ "us-east-1", "us-west-1" ] } }As shown in the previous example, lists of dimension values are combined with
ORwhen applying the filter.
You can also set different match options to further control how the filter behaves. Not all APIs support match options. Refer to the documentation for each specific API to see what is supported.
For example, you can filter for linked account names that start with "a".
The corresponding
Expressionfor this example is as follows:{ "Dimensions": { "Key": "LINKED_ACCOUNT_NAME", "MatchOptions": [ "STARTS_WITH" ], "Values": [ "a" ] } }
Compound
Expressiontypes with logical operations.You can use multiple
Expressiontypes and the logical operatorsAND/OR/NOTto create a list of one or moreExpressionobjects. By doing this, you can filter by more advanced options.For example, you can filter by
((REGION == us-east-1 OR REGION == us-west-1) OR (TAG.Type == Type1)) AND (USAGE_TYPE != DataTransfer).The corresponding
Expressionfor this example 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"] }}} ] }
Because each
Expressioncan have only one operator, the service returns an error if more than one is specified. The following example shows anExpressionobject that creates an error:{ "And": [ ... ], "Dimensions": { "Key": "USAGE_TYPE", "Values": [ "DataTransfer" ] } }The following is an example of the corresponding error message:
"Expression has more than one roots. Only one root operator is allowed for each expression: And, Or, Not, Dimensions, Tags, CostCategories"
For the
get_rightsizing_recommendationaction, 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
get_reservation_purchase_recommendationaction, only NOT is supported. AND and OR aren't supported. Dimensions are limited toLINKED_ACCOUNT.- Configuration
You can use Configuration to customize recommendations across two attributes. You can choose to view recommendations for instances within the same instance families or across different instance families. You can also choose to view your estimated savings that are associated with recommendations with consideration of existing Savings Plans or RI benefits, or neither.
- Service
[required] The specific service that you want recommendations for. The only valid value for
get_rightsizing_recommendationis "AmazonEC2".- PageSize
The number of recommendations that you want returned in a single response object.
- NextPageToken
The pagination token that indicates the next set of results that you want to retrieve.