AWS Cloud Financial Management

Category: Amazon Q Developer

AWS Cloud Financial Management: Key 2025 re:Invent Launches to Transform Your FinOps Practices

Another year has flown by. As we wrap up another exciting AWS re:Invent, I’m excited to share the latest enhancements in AWS Cloud Financial Management (CFM) space. This year’s announcements reflect our commitment to providing comprehensive solutions across the four CFM pillars: track and allocate, govern and operate, forecast and plan, and optimize and save. We’ve also made significant improvements in AI for CFM, which impacts all four CFM pillars.

Cost Analysis for Amazon CloudWatch Using Amazon Q CLI and MCP servers

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.

Introducing AWS Pricing Capabilities in Amazon Q Developer: Ask Questions, Get Instant Cost Insights

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.

Optimizing cost for deploying Amazon Q

Building on our previous discussions about AWS generative AI cost optimization, the fourth blog of the five-part blog series focuses on maximizing value from Amazon Q, AWS’s generative AI-powered assistant. While our earlier posts covered custom model development with Amazon EC2 and SageMaker AI and foundation models with Amazon Bedrock, today we’ll explore strategies to optimize costs when implementing Amazon Q. From selecting the right pricing tier and implementing strategic user management to optimizing content indexing and improving cost predictability, we’ll share practical approaches that help you balance functionality with cost efficiency. Whether you’re using Amazon Q Business for your generative AI–powered assistant or Amazon Q Developer to enhance developer productivity, these best practices will help you make informed decisions about your Q implementation.