AWS Cloud Financial Management

Amazon Q Developer CLI (Amazon Q CLI) with the Model Context Protocol (MCP) for Billing and Cost Management and Amazon CloudWatch enables teams to quickly generate detailed cost analyses, perform deep dives into usage patterns, and receive optimization recommendations through a streamlined interface. Amazon Q CLI with MCP servers simplifies CloudWatch cost analysis. Using natural language prompts, you can identify cost drivers and receive optimization recommendations for your resources. This streamlined approach minimizes manual exploration, enhances financial control, and improves cloud efficiency.

AWS is committed to empowering the FinOps community with the knowledge, tools, and best practices needed to excel in cloud financial management. Our dedication to the FinOps community goes beyond providing world-class cloud services—we’re invested in your professional growth and success. Through our comprehensive digital training portfolio, we aim to equip FinOps professionals with the expertise needed to drive meaningful cost optimization, establish effective governance frameworks, and demonstrate clear business value from cloud investments. Today, we’re excited to share updates to our Cloud Financial Management training courses and introduce a specialized new course designed specifically for the growing demands of generative AI cost management.

The decision between Containers and Serverless Functions – or the implementation of both – should be driven by a thorough understanding of workload characteristics, cost implications, and operational requirements. As FinOps professionals, you should work closely with development and operations teams to analyze usage patterns, model costs under different scenarios, and consider factors like development velocity, operational overhead, and long-term maintainability. By leveraging the strengths of both Containers and Serverless technologies, you can build flexible, cost-effective cloud architectures that adapt to changing business needs while optimizing resource utilization and expenditure.

A cloud vendor’s Cloud Financial Management (CFM) capabilities are crucial for your success in the cloud. Whether you’re planning future investments, optimizing current spending, or allocating costs across your organization, having the right CFM tools makes all the difference. AWS is proud to be recognized with the 1st place in forecasting and estimation use case, and top 3 in driving cost efficiency use case and promotion accountability use case in the latest 2025 Gartner Critical Capabilities for Cloud Financial Management Tools research.

We’re excited to announce that Amazon Q Developer now includes integrated AWS pricing capabilities. This transforms how organizations approach cost estimation and optimization by bringing real-time pricing information directly into processes through natural language queries.

Today, we are excited to announce new capabilities within AWS Billing and Cost Management that enable you to create custom billing views containing cost and usage data from multiple organizations. You can now share custom billing views with AWS accounts outside your organization and combine multiple custom billing views to create consolidated multi-source views. These features allow you to access cost management data across multiple organizations through AWS Cost Explorer and AWS Budgets from a single AWS account.

Are you ready to maximize your Cloud Financial Management (CFM) learning and networking time at re:Invent 2025? As usual, I’ve put together this comprehensive guide to help you plan your schedule and make the most of the CFM sessions available this year. This year’s catalog features an exciting mix of content across different formats: from breakout, chalk talks, workshops, builder’s sessions, to code talks.

Accurately allocating cloud costs in AWS is essential for fostering accountability and maximizing the value derived from cloud investments. Cost allocation requires careful consideration of your organization’s structure, workload patterns, and financial requirements. Whether you’re utilizing AWS accounts, Cost Allocation Tags, Cost Categories, or Billing Conductor, the key is selecting patterns that align with your business needs while maintaining simplicity and scalability. Start with the fundamental building blocks of AWS cost allocation, then layer in more sophisticated approaches as your organization’s needs evolve. By implementing these prescriptive patterns thoughtfully, you can create the cost transparency and accountability needed to drive business value from your cloud investments. Remember that cost allocation is not a one-time exercise—regularly review and adjust your approach as your business grows and your cloud journey continues.

If you are new to AWS, you may be wondering how you can learn and experiment with cloud services while keeping your spend under your control. Budget Controls for AWS is an open-source solution designed to solve this problem. This solution was designed for customers new to AWS with no prior experience. It automatically watches your spending and takes actions you define when costs reach certain thresholds. Think of it as a safety net that can send you alerts, temporarily stop resources, or even delete them to prevent runaway costs.

We are excited to introduce split cost allocation support for accelerated workloads in Amazon Elastic Kubernetes Service (EKS). This enhancement to Split Cost Allocation Data for EKS enables customers to track container-level resource costs for accelerator-powered workloads. Split Cost Allocation Data now utilizes Trainium, Inferentia, NVIDIA and AMD GPUs, complementing existing CPU and memory cost tracking capabilities. This cost data is available in the AWS Cost and Usage Report (legacy and CUR 2.0), providing organizations with a consolidated view of their cloud expenditures. This feature is now available across all AWS commercial regions (excluding China regions) at no additional cost to customers.