These are queries for AWS Services under the AWS Well-Architected Framework Cost Optimization Pillar.
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CUR Query Library uses placeholder variables, indicated by a dollar sign and curly braces (${ }). ${table_name} and ${date_filter} are common placeholder variables used throughout CUR Query Library, which must be replaced before a query will run. For example, if your CUR table is called cur_table and is in a database called cur_db, you would replace ${table_name} with cur_db.cur_table. For ${date_filter}, you have multiple options. See Filtering by Date in the CUR Query Library Help section for additional details.
Prior to deleting resources, check with the application owner that your analysis is correct and the resources are no longer in use.
AWS provides IT resources on-demand, which makes it easy for customers to stop and start resources and use only what they need to deliver on a business outcome. However, it can be difficult to assess exactly how resource efficient a workload is on AWS. This set of queries helps customers assess and understand how they use AWS resources. In the Sustainability Pillar of the Well Architected Framework, proxy metrics are introduced as a way to understand how to measure efficiency in a workload. Customers looking to optimize their workloads for sustainability (or understand their AWS usage in order to report for frameworks and standards like SASB), need to first understand what they have provisioned in AWS and then relate this to how much work they have done with those resources. This set of queries helps customers understand what they have provisioned in AWS as a necessary first step for optimization decisions in line with the Sustainability Pillar of the WA Framework.
This query will display the usage hours of service(s) using compute and order by largest to smallest number of hours. The intention of this query is to provide a view into the aggregated processing capacity across all services. To obtain additional infromation on the type of resource and the amount of vcpu contributed by the resource uncomment the line_item_usage_type and product_vcpu columns.
CUR queries are provided as is. We recommend validating your data by comparing it against your monthly bill and Cost Explorer prior to making any financial decisions. If you wish to provide feedback on these queries, there is an error, or you want to make a suggestion, please email: curquery@amazon.com