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Sustainability Metrics Matrix Example

Efficiently aligning cloud resources to demand is crucial for achieving sustainability goals. By optimizing the geographic placement of workloads, organizations can minimize latency, reduce energy consumption, and lower the total network resources required for their operations. This practice not only enhances performance but also contributes to a more sustainable cloud environment.

Example Matrix

Workload Geographic Region Energy Consumption (kWh) Latency (ms) Network Resource Utilization (%) Alignment to Demand (%)
Web Application US-East 200 20 75 90
Data Processing Pipeline US-West 150 15 60 80
Machine Learning Model EU-Central 100 30 50 70

Conclusion

This matrix provides a clear view of how cloud resources are aligned to demand across different workloads. Continuous optimization based on this data can lead to reduced carbon footprint and a stronger commitment to sustainability goals.

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