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Sustainability Dashboard Example

Overview

By strategically placing your workloads in regions that match end-user demand, you can reduce network latency and lower energy consumption, ultimately minimizing carbon emissions. This example highlights how to build a dashboard that focuses on resource usage patterns across regions, helping data analysts quickly identify where optimization is needed.

Key Features

  • Regional Utilization Metrics: Track CPU, memory, and network usage across different geographic regions to identify underutilized or overburdened resources.
  • Demand Forecasting: Incorporate predictive analytics to project future workload requirements, using historical and real-time data to adjust resource allocation dynamically.
  • Sustainability Indicators: Integrate carbon emission metrics and power usage effectiveness (PUE) calculations to understand the environmental impact of your deployment choices.
  • Automated Adjustments: Use scripts or AWS services (such as AWS Lambda or AWS Auto Scaling) to automate resource scaling based on your forecasted demand and energy efficiency targets.

Example Dashboard Layout

A sample sustainability dashboard might include:

  1. Map View: Display real-time usage data layered over geographic locations to identify under- or over-provisioned regions.
  2. Time-Series Charts: Show historical and real-time energy consumption alongside performance metrics, enabling you to visualize changes due to shifting demand.
  3. Forecast Panel: Provide dynamic demand forecasts for each region, with recommended sizing adjustments to maintain efficiency and reduce carbon output.
  4. Alerts & Notifications: Trigger notifications when thresholds are exceeded, prompting further investigation or automatic scaling actions.

Implementation Tips

  • Leverage AWS CloudWatch to capture and monitor usage and performance metrics in each region.
  • Use AWS Cost Explorer and AWS Billing data to quantify cost savings achieved through optimized resource placement.
  • Combine data from AWS CloudTrail and AWS Config to audit your infrastructure changes and track how those adjustments affect sustainability goals.

By routinely analyzing these metrics and adjusting workloads accordingly, you can align your cloud resources to demand, leading to cost savings, improved performance, and a reduced carbon footprint.

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