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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.

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 […]

Today, we’re excited to announce the general availability of Billing and Cost Management Dashboards, a new feature within AWS Billing and Cost Management that allows you to display multiple views of billing and cost data in a single page. With Billing and Cost Management Dashboards, you can create customized views combining data from AWS Cost Explorer and commitment coverage and utilization, helping you discover spending patterns and correlations to make data-driven financial decisions. You can also share your dashboards across accounts, enabling your FinOps teams to establish common cost reporting practices throughout their organization.

Savings Plans offer a flexible pricing model that provides you up to 72% savings on your AWS compute workload compared to on-demand prices. When your AWS footprint grows through organic expansion, regional scaling, mergers, acquisitions, or setting up AWS Organizations to align with your business requirements, understanding how the recommendations are made at payer and linked account levels helps you manage Savings Plans at scale. If you are managing a multi-account AWS Organization, you might have noticed that Savings Plan recommendations differ between your payer account (also known as management account) and linked account (also known as member account).

We are excited to release the aws-pricing-mcp-server, an open-source tool in the AWS Labs GitHub repository, that brings natural language pricing queries to your favorite AI assistants through the Model Context Protocol (MCP). Now you can simply ask “What would it cost to run three m5.large instances and a MySQL RDS database in us-west-2?” and get instant pricing answers using natural language queries without leaving your workflow.

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.

As organizations scale cloud usage, understanding cost variations becomes increasingly complex. Many of you have told us that you sometimes had to spend hours analyzing why costs changed from one month to another. To address this, we’re excited to announce a new cost comparison feature in AWS Cost Explorer that provides automated month-over-month cost change analysis. This feature enables you to quickly identify, understand, and explain variations in your AWS spending. With this new feature, you can now pinpoint the largest cost changes across any cost dimension, such as services, accounts and regions, and drill down into detailed explanations of these changes, including shifts in usage patterns, changes in commitment-based discounts, and applied credits within seconds.

Today, we’re excited to announce the general availability of the authenticated AWS Pricing Calculator in the AWS Billing and Cost Management Console. The new capability improves the accuracy of cost estimates for new workloads or modifications to your existing AWS usage by incorporating eligible discounts and commitment savings. You can now easily model cost changes for things such as migrating workloads between regions, modifying existing or planning new workloads, and planning for commitment purchases.

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.