Carbon Footprint Dashboard Example

In this example carbon footprint dashboard, we demonstrate how you can track and measure the environmental impact of selecting AWS Regions for your workloads. By correlating metrics such as power usage effectiveness (PUE), carbon intensity data, and cost optimization figures, you can make data-driven decisions to balance performance, cost, and sustainability goals.

• Carbon Emissions Over Time: A line chart showing monthly carbon footprint based on energy consumption and local grid emissions factors for each chosen Region.
• Regional Comparison: A bar chart comparing power usage effectiveness, carbon intensity, and estimated cost across multiple AWS Regions. This helps you evaluate trade-offs between performance, cost, and sustainability.
• KPIs and Thresholds: Establish KPIs, such as total carbon emissions and cost-per-transaction, and set thresholds to trigger alerts when metrics deviate from defined targets.
• Resource Utilization Insights: Display resource usage trends and highlight optimization opportunities like rightsizing EC2 instances, using AWS Graviton-based services, and utilizing services that automatically scale up or down based on demand.
• Region Selection Recommendations: Provide data-backed insights and highlight recommended Regions based on latency, cost, and carbon footprint data. This allows you to align environmental objectives with business and performance requirements.

By implementing this dashboard, you can continuously monitor and improve your sustainability posture, ensuring that your Region choices remain aligned with both operational and environmental goals.