Category: Analytics

In April 2025, AWS added carbon emissions data to AWS Data Exports. This managed feature introduces the ability to automatically export carbon emissions data with AWS Account and AWS Region granularity on a monthly basis to Amazon Simple Storage Service (S3). When using AWS Organizations, the carbon emissions export delivers data for all member accounts linked to your management account. This blog post explains how to configure the recurring delivery of carbon emissions data to Amazon S3 and visualize the exported data in the sustainability-proxy-metrics dashboard of the Cloud Intelligence Dashboards (CID). Utilizing Data Exports and the CID, you can track emissions across more than one AWS organization, with the ability to build custom visualizations and drill down to member account-level granularity.

In this article, we will show you how to define a chargeback mechanism that allocates Savings Plans purchased in the management account, linked accounts or both to recipient accounts of Savings Plan discounts. You can identify accounts that received Savings Plans discounts and the appropriate amount to chargeback to them based on their specific usage.

In this blog post, we discuss how Amazon used AWS Billing Conductor to build a custom solution, enabling them to view their AWS cost at internal rates in AWS Cost Explorer and AWS Cost and Usage Report (CUR).

We’re excited to announce the release of AWS Cloud Financial Management digital training courses. These are four 1-hour courses that will get you familiarized with key AWS solutions to solve your daily FinOps needs, and equip you with cost optimization techniques for commonly used AWS services.

You can use Amazon Athena, a lightweight serverless, analytics tool, to query your AWS Cost and Usage Report (CUR). This enables you to dive into your cost and usage data for spend reporting and optimization analysis. However, you may not know all the opportunities you can optimize your Amazon S3 costs by taking advantage of S3 Lifecycle configuration.

If you’re scratching your head and trying to catch up with all the re:Invent launch announcements from the AWS Cloud Financial Management team, let me walk you through how your FinOps experience may be improved for better with the latest capabilities that were just released last week at AWS re:Invent 2023. I’ve also included recordings of these launch announcements, so you can watch these at your own pace.

Today, we announced the general availability of Data Exports, a new AWS Billing and Cost Management feature that enables you to create exports of your billing and cost management data using SQL column selections and row filters. As part of AWS Data Exports, you can now also deploy a Cost and Usage Dashboard powered by Amazon QuickSight directly from the AWS Billing and Cost Management console. The Cost and Usage Dashboard uses a summary view of the AWS Cost and Usage Report 2.0 (CUR 2.0) and provides pre-built visuals to facilitate interactive analysis and sharing of cost insights with a broader stakeholder group who may not have access to AWS console.

In this blog, we’ll walk you through an example of setting up a multilevel hierarchy in Cost Categories. We’ll use Amazon Athena to consolidate cost and usage data across all AWS services, accounts, tags, cost categories, and other fields from the AWS Cost and Usage Reports (CUR). 

There are many benefits to running your Amazon OpenSearch Service workloads on Graviton2 based instances coupled with the gp3 EBS volume type. If you’re currently maintaining an Amazon OpenSearch Service workload, these changes are easy to make and can provide ~10% in savings with minimal effort.

By using CUDOS and the CID Framework, Cvent provides its centralized governance teams with greater visibility across all organizational spend in a simple, cost-effective manner. More importantly, that same visibility is available to budget managers and engineers, which decentralizes the ownership of the budget details. Cvent’s mindset and processes are shifting from reactive spend investigation to proactive cost optimization during planning and deployment, which fosters a high degree of financial predictability expected from investors and shareholders.