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Automate AWS Cost Reporting with Scheduled Dashboard Email Delivery Imagine it’s Monday morning and your CFO, engineering directors, and finance team all receive a comprehensive AWS cost report in their inbox, without anyone on your FinOps team lifting a finger. The report shows last week’s spending trends, Savings Plans utilization, and cost breakdowns by service, all formatted professionally and ready for review during the [...]

📰 New article by Shubir Kapoor, Gustavo Zioli

Automate AWS Cost Reporting with Scheduled Dashboard Email Delivery

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Introducing AI-Powered Cost Analysis in AWS Cost Explorer We’re excited to announce AI-powered cost analysis in AWS Cost Explorer, powered by Amazon Q Developer. You can now click a suggested prompt or ask a question in your own words right from the Cost Explorer. Amazon Q delivers detailed insights while Cost Explorer automatically updates its charts, tables, and report parameters to reflect the [...]

📰 New article by Aviral Soni

Introducing AI-Powered Cost Analysis in AWS Cost Explorer

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Measuring EC2 Nitro Enclave Usage for Billing and Metering Purposes AWS Nitro Enclaves promise a new level of security for sensitive workloads, but running them at scale across multiple clients introduces a hidden challenge: how do you actually know who used what, and for how long? This post explores a surprisingly lightweight and affordable architecture that brings real visibility to Nitro Enclave usage, making accurate client billing finally possible.

📰 New article by Farshad Bidanjiri, Eswar Sesha Sai Kamineni, Ravindra Kori, Siavash Irani

Measuring EC2 Nitro Enclave Usage for Billing and Metering Purposes

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Petabyte-Scale Cost Optimization: How a Video Hosting platform Saved 70% on S3 A video hosting platform cut Amazon S3 costs by 70% by analyzing usage patterns and optimizing their architecture. They discovered that a tiny fraction of files were generating excessive retrieval costs in S3 Glacier Instant Retrieval and moved them to S3 Intelligent-Tiering while improving CloudFront caching. These strategic changes reduced GET requests by 90% and delivered substantial six-figure annual savings.

📰 New article by Cedric Hu

Petabyte-Scale Cost Optimization: How a Video Hosting platform Saved 70% on S3

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How Dedicated Account Delegation Helped CrowdStrike Manage Costs CrowdStrike, a leader in cloud-delivered endpoint and workload protection, provides comprehensive security solutions to organizations worldwide. CrowdStrike’s implementation of a dedicated FinOps admin account demonstrates that organizations can achieve efficient cost management while limiting management/payer account access. Their approach provides a clear framework that other organizations can adapt for their own environments, particularly those operating at scale where both cost management complexity and security requirements are high.

📰 New article by Krutarth Doshi, Lorenzo Orsatti

How Dedicated Account Delegation Helped CrowdStrike Manage Costs

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re:Invent 2025 hidden CFM announcements guide With re:Invent 2025 behind us and over 60 launch announcements, here are five hidden gems that may have gone unnoticed but still have big cost impacts. While everyone was talking about the database savings plans and AI announcements, these quieter launches are already helping customers optimize their cloud spend in creative ways.

📰 New article by Steph Gooch

re:Invent 2025 hidden CFM announcements guide

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Improve Cost Visibility and Observability with AWS Cost Categories – Part 2: Hierarchical Structures and Programmatic Implementation In Part 1 of our series on improving cost visibility and observability, “Improve Cost Visibility and Observability with AWS Cost Categories – Part 1: Fundamentals and Basic Grouping Techniques”, we explored the fundamentals of AWS Cost Categories and demonstrated how to implement basic grouping techniques using regional dimensions, multiple dimensions, and split charges to enhance cost visibility across your AWS environment. Building on these fundamentals, this second installment of our AWS Cost Categories series explores advanced techniques and automation capabilities that can further enhance your cost management strategy.

📰 New article by Karthikeyan KM, Bhaskar Mazumdar, Vivek Somi

Improve Cost Visibility and Observability with AWS Cost Categories – Part 2: Hierarchical Structures and Programmatic Implementation

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5 ways to use Kiro and Amazon Q to optimize your Infrastructure It’s Friday morning. You’re expecting an easy day when suddenly—ding—a budget alert hits your inbox. Not only have you been notified, but so has your manager and the FinOps team. Your relaxed Friday just disappeared. Sound familiar? This scenario happens more often than it should. With Kiro CLI or Amazon Q Developer IDE, AWS’s generative AI-powered assistant, you can prevent these panic-inducing moments while saving significant money. Here are five powerful ways to use AI to optimize your AWS infrastructure which came from a re:Invent 2025 talk: Optimize AWS Costs: Developer Tools and Techniques.

📰 New article by Steph Gooch

5 ways to use Kiro and Amazon Q to optimize your Infrastructure

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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.

📰 New article by Bowen Wang

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

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Announcing Unused NAT Gateway Recommendations in AWS Compute Optimizer Network infrastructure resources like NAT Gateways represent a substantial portion of cloud spending, yet optimizing these costs presents unique challenges. Unlike compute resources, NAT Gateways often play critical roles in high availability and disaster recovery architectures, making it difficult to confidently identify which ones are truly unused versus those serving as disaster recovery or backup components. Starting today, AWS Compute Optimizer expands its idle resource detection capabilities to include NAT Gateways. Building on our recent launch of idle recommendations for compute, storage, and database resources, you can now identify and clean up unused NAT Gateway resources to drive additional cost savings while maintaining application reliability.

📰 New article by Nathan Yuan

Announcing Unused NAT Gateway Recommendations in AWS Compute Optimizer

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Introducing Automated Amazon EBS Volume Optimization in AWS Compute Optimizer Starting today, AWS Compute Optimizer introduces a new automation feature that streamlines how you optimize Amazon Elastic Block Store (EBS) volumes. Instead of dedicating valuable engineering hours to optimization tasks, you can now create automation rules that continuously clean up unattached volumes and upgrade volume types based on Compute Optimizer’s data-driven recommendations, freeing your teams [...]

📰 New article by Jimmy Yang

Introducing Automated Amazon EBS Volume Optimization in AWS Compute Optimizer

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Extending AWS managed monitors in AWS Cost Anomaly Detection Today, we’re excited to announce the extension of AWS managed monitors in AWS Cost Anomaly Detection to support linked accounts, cost allocation tags, and cost categories. Previously available only for AWS services, AWS managed monitors now enable you to track costs across all your organizational dimensions with minimal ongoing maintenance. As organizations scale from tens to hundreds of accounts and teams, you can create a single AWS managed monitor that automatically adapts as your organization grows, eliminating the need to maintain hundreds of individual customer managed monitors. After initial setup, this feature transforms cost monitoring from a time-consuming operational task into an automated process that ensures comprehensive anomaly detection coverage while enabling clear segmentation of spending alerts by cost ownership.

📰 New article by Aviral Soni

Extending AWS managed monitors in AWS Cost Anomaly Detection

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Measuring Cloud Cost Efficiency with the New Cost efficiency metric by AWS As organizations continue to scale their cloud infrastructure, many organizations struggle to answer fundamental questions: How efficient are we being with our cloud spend? Which business units are most cost efficient? How do we demonstrate ROI on optimization efforts to leadership? Today, we’re excited to introduce Cost efficiency in Cost Optimization Hub—a comprehensive, automatically generated measure of cloud spend efficiency that helps you track optimization progress over time and drive meaningful cost savings across your organization.

📰 New article by Jyoti Aggarwal

Measuring Cloud Cost Efficiency with the New Cost efficiency metric by AWS

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Introducing E-Invoice delivery for AWS customers using SAP Ariba and Coupa Today, we’re announcing the general availability of AWS E-Invoice delivery, a new capability that enables you to integrate your Ariba and Coupa procurement portals with AWS. AWS E-Invoice delivery retrieves purchase orders (PO) from your Ariba and Coupa portals and delivers invoices associated with your desired POs. This new feature eliminates two manual tasks: creating POs in the AWS Billing and Cost Management console and uploading invoices to your procurement portals.

📰 New article by Ajay Madhavan

Introducing E-Invoice delivery for AWS customers using SAP Ariba and Coupa

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Control Your AWS Commitments with Reserved Instances and Savings Plans Group Sharing Your Reserved Instances and Savings Plans are designed to give you the most optimal discount rates by prioritizing the benefits to accounts in the organizations. However, you might have faced a challenge when you’re managing AWS costs across multiple business units: your Reserved Instances and Savings Plans don’t always benefit the teams that purchased them. As a result, it requires manual chargeback work to track ROI, maintain internal accountability, and align spending with your business structure. Today, we’re excited to announce the general availability of Reserved Instances and Savings Plans (RISP) Group Sharing – a new feature that gives customers an option to have granular control over how your AWS commitments are shared across your organization.

📰 New article by Ethan Yoon

Control Your AWS Commitments with Reserved Instances and Savings Plans Group Sharing

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Introducing 18-Month Forecasting and Explainable AI Insights in AWS Cost Explorer We’re excited to announce enhanced forecasting capabilities in AWS Cost Explorer, now providing up to 18 months of future cost projections with improved accuracy and AI-powered explanations (preview). This extended forecast horizon addresses the need for long-term financial planning that aligns with enterprise fiscal cycles, while providing transparency into the drivers behind your cost forecasts.

📰 New article by David Aguirre

Introducing 18-Month Forecasting and Explainable AI Insights in AWS Cost Explorer

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Data Exports for FOCUS 1.2 is now generally available Today AWS announced Cost and Usage data exports in FOCUS 1.2 specification. You can now create exports of your AWS Cost and Usage data in the FOCUS 1.2 schema. FOCUS (FinOps Open Cost and Usage Specification), supported by the FinOps Foundation, is an open specification that standardizes Cost and Usage data to simplify cloud financial [...]

📰 New article by Jason Wu, Bowen Wang

Data Exports for FOCUS 1.2 is now generally available

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New AWS Billing Transfer for centrally managing AWS billing and costs across multiple organizations AWS Billing Transfer enables customers to centrally manage and pay bills across multiple AWS organizations by allowing billing administrators to transfer payment responsibility while maintaining individual security and governance autonomy over their accounts.

New AWS Billing Transfer for centrally managing AWS billing and costs across multiple organizations

AWS Billing Transfer enables customers to centrally manage and pay bills across multiple AWS organiz...

#AWS #AwsCloudFinancialManagement #Billing&AccountManagement #Launch #News #PartnerSolutions

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Improve Cost Visibility and Observability with AWS Cost Categories – Part 1: Fundamentals and Basic Grouping Techniques The ability to group and analyze costs across resources and accounts is crucial for gaining visibility, identifying optimization opportunities, and making data-driven decisions. Organizations aim to accurately allocate and track cloud costs across different business units, projects, and environments to improve budgeting, enable effective chargeback processes, and make informed optimization decisions. With AWS Cost Categories, a free feature, you can create rules to flexibly group and visualize cost using various dimensions such as account, charge type, service and even other Cost Categories. In this first part of our two-part series, we will explore the fundamentals of AWS Cost Categories and demonstrate how they can transform your cost management approach.

📰 New article by Karthikeyan KM, Bhaskar Mazumdar, Vivek Somi

Improve Cost Visibility and Observability with AWS Cost Categories – Part 1: Fundamentals and Basic Grouping Techniques

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Using Kubernetes Labels to Split and Track Application Costs on Amazon EKS We’re excited to announce support for Kubernetes labels in split cost allocation data for Amazon Elastic Kubernetes Service (EKS). With this launch, you can now import Kubernetes labels as user-defined cost allocation tags into split cost allocation data, allowing you to attribute the cost of your applications running on an Amazon EKS cluster using these labels in AWS Cost and Usage Reports (CUR). This enables you to allocate your Kubernetes costs based on your specific business requirements and organizational design.

📰 New article by Manoj Jayadevan, Mihir Surani, Udi Dahan

Using Kubernetes Labels to Split and Track Application Costs on Amazon EKS

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Updated Cloud Financial Management Digital Training Courses with a New Course Added: “FinOps for GenAI” 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.

📰 New article by Bowen Wang

Updated Cloud Financial Management Digital Training Courses with a New Course Added: “FinOps for GenAI”

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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.

📰 New article by Aneesh Varghese, Anjani Reddy

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

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A FinOps Guide to Comparing Containers and Serverless Functions for Compute 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.

📰 New article by Steph Gooch, Rugved Dighe

A FinOps Guide to Comparing Containers and Serverless Functions for Compute

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AWS ranks #1 in Forecasting and Estimation Use Case in Gartner Critical Capabilities for Cloud Financial Management Tools report 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.

📰 New article by Bowen Wang

AWS ranks #1 in Forecasting and Estimation Use Case in Gartner Critical Capabilities for Cloud Financial Management Tools report

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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.

📰 New article by Liam Greenamyre, Loic Fournier

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

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Introducing multi-source custom billing views: unified cost management across multiple organizations on AWS 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.

📰 New article by Erik Nestorovic

Introducing multi-source custom billing views: unified cost management across multiple organizations on AWS

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Your Ultimate Guide to Cloud Financial Management sessions at re:Invent 2025: Know Before You Go 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.

📰 New article by Bowen Wang

Your Ultimate Guide to Cloud Financial Management sessions at re:Invent 2025: Know Before You Go

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Leveraging AWS Cost Allocation Capabilities to Meet your Business Needs 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.

📰 New article by Manoj Jayadevan, Michael Reinhold

Leveraging AWS Cost Allocation Capabilities to Meet your Business Needs

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Introducing Budget Controls for AWS: Automatically Manage Your Cloud Costs 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.

📰 New article by Venkata Kampana, Christopher Truong, Travis Berkley

Introducing Budget Controls for AWS: Automatically Manage Your Cloud Costs

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Improve cost visibility of Machine Learning workloads on Amazon EKS with AWS Split Cost Allocation Data 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.

📰 New article by Manoj Jayadevan, Mihir Surani

Improve cost visibility of Machine Learning workloads on Amazon EKS with AWS Split Cost Allocation Data

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