AWS Cost Explorer Service

2020/04/21 - 1 updated api methods

Changes   Cost Explorer Rightsizing Recommendations integrates with Compute Optimizer and begins offering across instance family rightsizing recommendations, adding to existing support for within instance family rightsizing recommendations.

2020/04/20 - 16 updated api methods

Changes   Cost Categories API is now General Available with new dimensions and operations support. You can map costs by account name, service, and charge type dimensions as well as use contains, starts with, and ends with operations. Cost Categories can also be used in RI and SP coverage reports.

2020/03/25 - 1 updated api methods

Changes   Customers can now receive Savings Plans recommendations at the member (linked) account level.

2019/11/25 - 5 new 10 updated api methods

Changes   This launch provides customers with access to Cost Category Public Beta APIs.

2019/11/18 - 1 updated api methods

Changes   add EstimatedOnDemandCostWithCurrentCommitment to GetSavingsPlansPurchaseRecommendationRequest API

2019/11/11 - 1 new 10 updated api methods

Changes   This launch provides customers with access to GetCostAndUsageWithResources API.

2019/11/06 - 4 new 7 updated api methods

Changes   This is the first release of Savings Plans, a new flexible pricing model that offers low prices on Amazon EC2 and AWS Fargate usage.

2019/07/26 - 1 new 6 updated api methods

Changes   Adds support for resource optimization recommendations.

2019/07/08 - 1 new api methods

Changes   This release introduces a new operation called GetUsageForecast, which allows you to programmatically access AWS Cost Explorer's forecasting engine on usage data (running hours, data transfer, etc).

2018/12/05 - 2 updated api methods

Changes   Add normalized unit support for both GetReservationUtilization and GetReservationCoverage API.

2018/11/16 - 1 new api methods

Changes   This release introduces a new operation called GetCostForecast operation, which allows you to programmatically access AWS Cost Explorer's forecasting engine and is now generally available.

2018/11/07 - 5 updated api methods

Changes   Enable Payer Accounts to View Linked Account Recommendations. Payer Accounts can specify "LINKED" as scope in the request now. In the response, there is a new filed called AccountId in ReservationPurchaseRecommendationDetail for indicating which account is this recommendation detail belongs to.

2018/07/11 - 1 updated api methods

Changes   Starting today, you can access custom Reserved Instance (RI) purchase recommendations for your Amazon Redshift, Amazon ElastiCache, and Amazon Elasticsearch reservations via AWS Cost Explorer API, in addition to accessing RI purchase recommendations for your Amazon EC2 and Amazon RDS reservations.

2018/07/09 - 1 updated api methods

Changes   AWS Cost Explorer provides you with Reserved Instance (RI) purchase recommendations based on your total cross-account Amazon EC2 and Amazon RDS usage. Starting today, linked accounts can also access custom RI purchase recommendations for specific linked accounts directly via AWS Cost Explorer API.

2018/06/05 - 1 updated api methods

Changes   Cost Explorer API is providing programmatic access to RI saving metrics to enable customers to optimize their reservations.

2018/04/19 - 1 updated api methods

Changes   Starting today, you can identify opportunities for Amazon RDS cost savings using AWS Cost Explorer's API to access your Amazon RDS Reserved Instance Purchase Recommendations

2018/03/20 - 1 new api methods

Changes   This launch will allow customers to access their Amazon EC2 Reserved Instance (RI) purchase recommendations programmatically via the AWS Cost Explorer API.

2018/02/22 - 1 new 3 updated api methods

Changes   Added GetReservationCoverage API for retrieving reservation coverage information.

2017/11/20 - 4 new api methods

Changes   The AWS Cost Explorer API gives customers programmatic access to AWS cost and usage information, allowing them to perform adhoc queries and build interactive cost management applications that leverage this dataset.