Category: Uncategorized

This blog post helps you measure what your coding work costs across the models, harnesses, and hosting paths available to you, so you can turn the measurements into a cost-and-quality frontier, and put that frontier in front of developers before they choose a model.

At this year’s re:Invent, we’ve lined up a fantastic set of sessions to get you up to speed on the latest AI cost management frameworks, solutions, and real-life success stories. They will help you wrap your head around concepts, such as tokenomics, and get ahead of the AI cost management game. Across tracks, more than 30 sessions fall under the theme of cloud financial management and AI cost management. In this blog post, I highlight nine of them and share where you can find AWS FinOps experts and peers throughout the week.

If you manage Enterprise Support for a large AWS organization, you’ve likely been asked which accounts a single Support line item comes from and how it was calculated. These are the questions the AWS Billing API can now answer programmatically. This post shows you how to break down your monthly AWS Enterprise Support charge by account using three AWS Billing API operations.

Tokens are the currency models work in. Every model takes tokens as input and produces tokens as output, and those tokens can come from anywhere: a person typing a prompt, an application making a call, or another AI agent talking to your model through an MCP server. In this blog, we focus on the tokens generated by AI coding tools and AI solutions. If you’re a FinOps practitioner trying to get ahead of AI spend, you need a framework to work from. That’s what this blog is for. We’re going to use the AWS Cloud Financial Management (CFM) pillars you may already know, See, Save, Run, and Plan, but with a tokenomics lens. They will be Visibility & Attribution, Optimization, Governance, and Value/ROI. We have created a landing page going deeper into these subjects on the Tokenomics CFM Tips page.

AWS Data Exports lets you select which columns to include in your AWS Cost and Usage Reports (CUR 2.0) export. But filtering down rows to specific accounts or services still required post-processing. Whether you need to share cost data with a partner, isolate a program’s spend, or meet an audit scope, teams often build downstream pipelines with AWS Lambda, AWS Glue, or Amazon Athena. AWS Data Exports supports SQL-based row filtering at the source. Each destination receives a pre-filtered dataset including only the rows that match your criteria with no post-processing step required. In this post, you’ll learn how to filter CUR 2.0 data at the source using AWS Data Exports SQL query capabilities, so you get the data you need.

Discover how A2A built a FinOps platform powered by AWS that normalizes multi-cloud cost data, enabling the company to identify cost savings and reduce manual budget consolidation time. You will learn about the architectural decisions, dashboards implemented, and transferable lessons for implementing your own multi-cloud cost management solution. Listed on the Italian Stock Exchange, with around 15,000 employees, A2A […]

​​​FinOps practitioners now have access to a growing lineup of AI tools, but matching the right tool to each use case is the difference between accelerating your practice and adding unnecessary complexity. AWS designed each tool in the AI lineup for different context and a different type of work. ​​In this blog we are going to go […]

If you manage invoices for dozens or hundreds of AWS payer accounts, you face repetitive console logins, individual file downloads, and manual data entry into your financial systems. Each billing cycle requires hours of administrative work as you navigate to the Console, download PDFs one by one, and organize files for compliance and record-keeping. This manual approach introduces […]

In this blog post, we cover how to manage the complete AWS Savings Plans lifecycle using the AWS Command Line Interface (CLI) and SDK. AWS Savings Plans are a flexible pricing model that offers lower prices compared to On-Demand pricing, in exchange for a specific usage commitment (measured in $/hour) for a one or three […]

This blog was written in partnership with Michael Peterson of CrescoNet. In this blog, you will learn how CrescoNet has employed both basic and advanced techniques to reduce their costs without compromising the performance, scalability or reliability of their critical data pipeline. The challenge for CrescoNet CrescoNet is a leading integrator of smart metering solutions […]