AWS announces enhanced custom line item controls for AWS Billing Conductor Starting today, AWS Billing Conductor customers gain greater flexibility when using custom line items. Customers can now create service-specific custom line items scoped at either one AWS service or to a set of selected AWS service and can choose how these line items are presented in the pro forma billing artifacts, such as Bills Page, Cost Explorer and Cost and Usage Records. These enhancements enable customers to create more precise and tailored charge-back and re-billing strategies that better reflect their pricing structures and improve the traceability experience for pro forma users. Customers can use this functionality to apply percentage discounts on Saving Plans fees or allocate shared flat support charges under AWS Support service. Service specific custom line items are available for standard billing group regardless of the type of pricing plan selected, and for billing-transfer billing groups exclusively when customer-managed pricing plans are selected. To start, use AWS Billing Conductor console or APIs, create a custom line item and specify the cost reference value (one or multiple AWS services) and the display setting options (itemized or consolidated under your service of choice). To learn more about custom line items visit https://docs.aws.amazon.com/billingconductor/latest/userguide/what-is-billingconductor.html. This feature is available now in all AWS commercial Regions, excluding AWS China (Beijing) Region, operated by Sinnet, and AWS China (Ningxia) Region, operated by NWCD.

AWS announces enhanced custom line item controls for AWS Billing Conductor

Starting today, AWS Billing Conductor customers gain greater flexibility when using custom line items.

Customers can now create service-specific custom line items sc...

#AWS #CloudFinancialManagement #AwsCostExplorer

AWS announces enhanced custom line item controls for AWS Billing Conductor Starting today, AWS Billing Conductor customers gain greater flexibility when using custom line items. Customers can now create service-specific custom line items scoped at either one AWS service or to a set of selected AWS service and can choose how these line items are presented in the pro forma billing artifacts, such as Bills Page, Cost Explorer and Cost and Usage Records. These enhancements enable customers to create more precise and tailored charge-back and re-billing strategies that better reflect their pricing structures and improve the traceability experience for pro forma users. Customers can use this functionality to apply percentage discounts on Saving Plans fees or allocate shared flat support charges under AWS Support service. Service specific custom line items are available for standard billing group regardless of the type of pricing plan selected, and for billing-transfer billing groups exclusively when customer-managed pricing plans are selected. To start, use AWS Billing Conductor console or APIs, create a custom line item and specify the cost reference value (one or multiple AWS services) and the display setting options (itemized or consolidated under your service of choice). To learn more about custom line items visit AWS Billing Conductor documentation. This feature is available now in all AWS commercial Regions, excluding AWS China (Beijing) Region, operated by Sinnet, and AWS China (Ningxia) Region, operated by NWCD.

🆕 AWS Billing Conductor now lets you create custom line items for precise charge-backs, applying discounts and support charges. Available globally except AWS China, it enhances traceability. Use the console or APIs to manage these items.

#AWS #CloudFinancialManagement #AwsCostExplorer

AWS Cost Explorer now provides 18-month forecasting and explainable AI-powered forecasts Today, AWS announces that AWS Cost Explorer now empowers customers with three key improvements: two generally available enhancements, including an 18-month forecasting horizon extending from the previous 12-month limit, and improved machine learning models that analyze up to 36 months of historical data (vs. previous 6 months) to identify seasonal patterns and long-term growth trends, and plus a new public preview feature offering AI-powered explanations that provide transparency into forecast methodology. AWS Cost Explorer helps customers analyze and manage their cloud spending through detailed cost and usage reports with forecasting capabilities. These enhancements provide the extended visibility needed for annual budget planning cycles. These capabilities enable finance teams to account for seasonal patterns, holiday peaks, and business cycles with enhanced accuracy and present forecasts with greater stakeholder confidence. The AI explanations help teams understand and communicate the key drivers behind their cost projections, making it easier to identify optimization opportunities and build executive buy-in for cloud investments. You can access the 18-month forecasting horizon directly through the AWS Cost Explorer console or via the GetCostForecast API. AI-powered explanations are currently available in the console only during public preview. To learn more about this enhanced feature, see https://aws.amazon.com/aws-cost-management/aws-cost-explorer/, user guides, and thehttps://aws.amazon.com/blogs/aws-cloud-financial-management/introducing-18-month-forecasting-and-explainable-ai-insights-in-aws-cost-explorer/. 

AWS Cost Explorer now provides 18-month forecasting and explainable AI-powered forecasts

Today, AWS announces that AWS Cost Explorer now empowers customers with three key improvements: two generally available enhancements, including an 18-month forecasting horizon extend...

#AWS #AwsCostExplorer

Announcing the AWS Billing and Cost Management MCP server Today, AWS announced the release of a model context protocol (MCP) server for Billing and Cost Management, now available in the https://github.com/awslabs/mcp/tree/main/src/billing-cost-management-mcp-server. The Billing and Cost Management MCP server allows customers to analyze their historical spending, find cost optimization opportunities, and estimate the costs of new workloads using the AI agent or assistant of their choice. Artificial intelligence is transforming the way that customers manage FinOps practices. While customers can access AI-powered cost analysis and optimization capabilities in Amazon Q Developer in the console, the Billing and Cost Management MCP server brings these capabilities to any MCP-compatible AI assistant or agent that customers may be using, such as https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/qdev-mcp.html, the https://kiro.dev/docs/mcp/ IDE, https://code.visualstudio.com/docs/copilot/chat/mcp-servers, or https://support.anthropic.com/en/articles/10949351-getting-started-with-local-mcp-servers-on-claude-desktop. This MCP server gives these clients rich capabilities to analyze historical and forecasted cost and usage data, identify cost optimization opportunities, understand AWS service pricing, find cost anomalies, and more. The MCP server not only provides access to AWS service APIs; it also provides a dedicated SQL-based calculation engine allowing AI assistants to perform reliable, reproducible calculations — ranging from period-over-period changes to unit cost metrics — and easily handle large volumes of cost and usage data. You can download and integrate the open-source server with your preferred MCP-compatible AI assistant. The server connects securely to the AWS Billing and Cost Management services using standard AWS credentials with minimal configuration required. To get started, visit thehttps://github.com/awslabs/mcp/tree/main/src/aws-pricing-mcp-server.

Announcing the AWS Billing and Cost Management MCP server

Today, AWS announced the release of a model context protocol (MCP) server for Billing and Cost Management, now available in the github.com/awslabs/mcp/tree/main/sr...

#AWS #AwsCostExplorer #AwsComputeOptimizer

Announcing the AWS Billing and Cost Management MCP server Today, AWS announced the release of a model context protocol (MCP) server for Billing and Cost Management, now available in the AWS Labs GitHub repository. The Billing and Cost Management MCP server allows customers to analyze their historical spending, find cost optimization opportunities, and estimate the costs of new workloads using the AI agent or assistant of their choice. Artificial intelligence is transforming the way that customers manage FinOps practices. While customers can access AI-powered cost analysis and optimization capabilities in Amazon Q Developer in the console, the Billing and Cost Management MCP server brings these capabilities to any MCP-compatible AI assistant or agent that customers may be using, such as Q Developer CLI tool, the Kiro IDE, Visual Studio Code, or Claude Desktop. This MCP server gives these clients rich capabilities to analyze historical and forecasted cost and usage data, identify cost optimization opportunities, understand AWS service pricing, find cost anomalies, and more. The MCP server not only provides access to AWS service APIs; it also provides a dedicated SQL-based calculation engine allowing AI assistants to perform reliable, reproducible calculations — ranging from period-over-period changes to unit cost metrics — and easily handle large volumes of cost and usage data. You can download and integrate the open-source server with your preferred MCP-compatible AI assistant. The server connects securely to the AWS Billing and Cost Management services using standard AWS credentials with minimal configuration required. To get started, visit the AWS Labs GitHub repository.

🆕 AWS released a GitHub Billing and Cost Management MCP server for analyzing spending, finding optimizations, and estimating costs with any MCP-compatible AI. It securely connects to AWS services and uses a SQL-based engine for reliable cost analysis.

#AWS #AwsCostExplorer #AwsComputeOptimizer

AWS Cost Explorer now offers new Cost Comparison feature AWS announces Cost Comparison, a new AWS Cost Explorer capability that helps customers understand cost changes between two months. Cost Comparison automatically detects significant cost changes between two months and surfaces the key factors driving these changes. With this launch, customers can now effortlessly gain insights into their monthly cost changes across their organization and quickly identify key drivers of spending changes. Cost Comparison streamlines the time-consuming process of cost analysis by automatically identifying the most substantial cost changes across services, accounts, and Regions. It eliminates the need to switch between different views in Cost Explorer or export data to spreadsheets for manual comparison. The feature provides detailed breakdowns of cost drivers, including usage changes, credits, refunds, and volume discounts impacts. A new Top Trends widget on the AWS Billing and Cost Management console home page shows the top 10 cost variations between the previous two months. For deeper analysis, customers can use the new Compare view within AWS Cost Explorer. This view offers comprehensive cost analysis capabilities, with insights into cost drivers that reveal changes between any two selected months in usage, credits, refunds, and volume discount impacts. Cost Comparison is available at no additional cost in all AWS commercial Regions, excluding AWS China Regions. To get started, customers can visit the AWS Billing and Cost Management console and view the Top Trends widget on the home page, or navigate to Cost Explorer and choose "Compare" in the Report Parameters panel. To learn more, see the https://docs.aws.amazon.com/cost-management/latest/userguide/ce-cost-comparison.html.

AWS Cost Explorer now offers new Cost Comparison feature

AWS announces Cost Comparison, a new AWS Cost Explorer capability that helps customers understand cost changes between two months. Cost Comparison automatically detects significant cost ch...

#AWS #CloudFinancialManagement #AwsCostExplorer

AWS Cost Explorer now offers new Cost Comparison feature AWS announces Cost Comparison, a new AWS Cost Explorer capability that helps customers understand cost changes between two months. Cost Comparison automatically detects significant cost changes between two months and surfaces the key factors driving these changes. With this launch, customers can now effortlessly gain insights into their monthly cost changes across their organization and quickly identify key drivers of spending changes. Cost Comparison streamlines the time-consuming process of cost analysis by automatically identifying the most substantial cost changes across services, accounts, and Regions. It eliminates the need to switch between different views in Cost Explorer or export data to spreadsheets for manual comparison. The feature provides detailed breakdowns of cost drivers, including usage changes, credits, refunds, and volume discounts impacts. A new Top Trends widget on the AWS Billing and Cost Management console home page shows the top 10 cost variations between the previous two months. For deeper analysis, customers can use the new Compare view within AWS Cost Explorer. This view offers comprehensive cost analysis capabilities, with insights into cost drivers that reveal changes between any two selected months in usage, credits, refunds, and volume discount impacts. Cost Comparison is available at no additional cost in all AWS commercial Regions, excluding AWS China Regions. To get started, customers can visit the AWS Billing and Cost Management console and view the Top Trends widget on the home page, or navigate to Cost Explorer and choose "Compare" in the Report Parameters panel. To learn more, see the AWS Cost Explorer documentation.

🆕 AWS Cost Explorer now offers Cost Comparison to easily compare monthly cost changes, detect significant shifts, and identify key cost drivers without exporting data. Available at no extra cost in all regions except AWS China.

#AWS #CloudFinancialManagement #AwsCostExplorer

Amazon Q Developer now provides natural language cost analysis Today, AWS announces the addition of cost analysis capabilities to Amazon Q Developer, allowing customers to retrieve and interpret their AWS cost data through natural language interactions. Amazon Q Developer is a generative AI-powered assistant that helps customers build, deploy, and operate applications on AWS. The cost analysis capability helps users of all skill levels to better understand and manage their AWS spending without previous knowledge of AWS Cost Explorer. Customers can now ask Amazon Q Developer questions about their AWS costs such as "Which region had the largest cost increase last month?" or "What services cost me the most last quarter?". Q interprets these questions, analyzes the relevant cost data, and provides easy-to-understand responses. Each answer includes transparency on the Cost Explorer parameters used and a link to visualize the data in Cost Explorer. This feature is now available in all AWS Regions where Amazon Q Developer is supported. Customers can access it via the Amazon Q icon in the AWS Management Console. To get started, see the https://docs.aws.amazon.com/cost-management/latest/userguide/ce-q-overview.html.  

Amazon Q Developer now provides natural language cost analysis

Today, AWS announces the addition of cost analysis capabilities to Amazon Q Developer, allowing customers to retrieve and interpret their AWS cost data through natural language...

#AWS #AmazonQ #AwsCostExplorer #AmazonMachineLearning

Amazon Q Developer now provides natural language cost analysis Today, AWS announces the addition of cost analysis capabilities to Amazon Q Developer, allowing customers to retrieve and interpret their AWS cost data through natural language interactions. Amazon Q Developer is a generative AI-powered assistant that helps customers build, deploy, and operate applications on AWS. The cost analysis capability helps users of all skill levels to better understand and manage their AWS spending without previous knowledge of AWS Cost Explorer. Customers can now ask Amazon Q Developer questions about their AWS costs such as "Which region had the largest cost increase last month?" or "What services cost me the most last quarter?". Q interprets these questions, analyzes the relevant cost data, and provides easy-to-understand responses. Each answer includes transparency on the Cost Explorer parameters used and a link to visualize the data in Cost Explorer. This feature is now available in all AWS Regions where Amazon Q Developer is supported. Customers can access it via the Amazon Q icon in the AWS Management Console. To get started, see the AWS Cost Management user guide.

🆕 Amazon Q Developer now provides natural language cost analysis

#AWS #AmazonQ #AwsCostExplorer #AmazonMachineLearning