Category: Management Tools

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.

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.

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.

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.

Introduction Unlocking FinOps capabilities for modern cloud teams just got simpler with the introduction of the AWS Billing and Cost Management Model Context Protocol (MCP) server, which makes advanced cost analysis and optimization features directly available to your favorite AI assistant or chatbot. By integrating natural language queries, secure local credentials, and real-time access to […]

As organizations expand, FinOps teams require a comprehensive overview of AWS Savings Plans commitments to maximize utilization efficiency. This solution involves implementing monitoring systems and automated alerts to identify underutilized Savings Plans within the eligible return period. In this blog post, we provide AWS CloudFormation templates that create AWS Step Functions state machine, Amazon Simple Notification Service (SNS) topic, Amazon EventBridge scheduler, and necessary AWS Identity and Access Management (IAM) roles to automate the monitoring of newly purchased Savings Plans and highlight those that are underutilized.

In response to customer requests for a more consistent cost savings experience and broader set of recommendations, AWS Trusted Advisor is expanding its capabilities. We’re excited to announce the integration of 16 new checks from AWS Cost Optimization Hub into Trusted Advisor. This significant update provides more actionable insights to help you optimize your AWS spend.

Starting today, AWS Compute Optimizer delivers new recommendations for your Amazon Aurora DB clusters. Compute Optimizer analyzes the cost of your clusters and identifies opportunities to leverage Aurora I/O-Optimized cluster storage configuration to save cost and improve price predictability for your most I/O-intensive workloads.

While San Diego’s famous June gloom may have given FinOps attendees overcast skies, the energy inside the FinOps X conference was anything but gloomy. Within just 1.5 days, we engaged in many insightful conversations. As a return, we have brought with us several feature enhancements that will hopefully bring more sunshine to your day-to-day FinOps life.

Starting today, AWS Compute Optimizer will give recommendations to clean up idle resources. AWS Compute Optimizer historically has been focused on providing rightsizing recommendations to save cost and improve performance. To help you drive further cost savings, we are expanding the focus to now include detecting and recommending cleanup of idle recommendations. With this launch, you will get recommendations for idle EBS volumes, ECS tasks on running on Fargate, EC2 instances, EC2 Auto Scaling groups, and RDS instances.