AWS Cloud Financial Management

Aviral Soni

Author: Aviral Soni

Aviral is a Senior Technical Product Manager at Amazon Web Services (AWS), leading cost visibility and reporting strategy within AWS Insights and Optimization. He owns Cost Explorer, Billing and Cost Management Dashboards, and Performance Reports, driving the vision for how customers consume, analyze, and act on their cloud costs through AI powered experiences. He is passionate about making Cloud Financial Management intuitive and accessible for organizations of all sizes.

Introducing Intelligent Cost Explanations in AWS Cost Explorer

We’re excited to announce intelligent cost explanations in AWS Cost Explorer, powered by Amazon Q Developer. Click the ‘Analyze with Amazon Q’ button on any cost report to instantly receive detailed explanations covering your spending patterns, cost drivers, and anomalies, along with guidance to discover optimization opportunities through follow-up questions, all based on your exact […]

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 […]

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.