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As organizations continue to embrace cloud-native architecture, understanding where and how money is being spent on cloud services becomes mission-critical. AWS provides a powerful, built-in tool for this purpose—the AWS Cost Intelligence Dashboard. Designed to offer deep insights into AWS usage and cost patterns, this dashboard empowers finance, operations, and engineering teams to collaborate around real-time financial data and drive informed decisions.
What Is the AWS Cost Intelligence Dashboard?
The AWS Cost Intelligence Dashboard is an interactive, QuickSight-based analytics tool built on the AWS Cost and Usage Report (CUR). Unlike static billing reports, this dashboard allows users to explore cloud cost and usage data dynamically, enabling a more transparent and actionable view of AWS spending.
It’s particularly valuable for organizations managing complex AWS environments with multiple accounts, diverse workloads, and variable usage patterns. The dashboard offers a consolidated view of costs, which can be filtered and segmented by service, linked account, region, usage type, operation, and more.
The dashboard operates by querying your Cost and Usage Report stored in Amazon S3. It uses Amazon Athena to process this data and Amazon QuickSight to visualize it through rich, customizable dashboards. AWS provides a set of open-source CloudFormation templates to help users deploy the dashboard easily within their environment.
Once deployed, the dashboard refreshes automatically, offering near real-time insights into cloud costs and usage patterns. Users can drill down into specific services (like EC2, S3, Lambda, etc.), monitor monthly cost trends, identify unexpected spikes, and gain clarity on where optimization efforts should be focused.
Key Features:
- Granular Filtering: Segment data by service, account, or charge type to isolate and analyze costs.
- Custom Views: Create business-specific dashboards tailored to different stakeholder needs.
- Trend Visualization: Track month-over-month spending patterns and forecast future costs.
- Anomaly Detection: Quickly identify sudden spikes or cost anomalies to take corrective action.
- Chargeback Support: Enable internal chargeback/showback mechanisms by mapping usage to business units, teams, or projects.
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