Can I model multi-cloud workloads?

The current release focuses on one provider at a time. Most teams start with their largest cloud footprint. We can build multi-cloud scenarios inside an engagement, aligning each region to the best carbon and cost outcomes.

What counts as “idle” in the optimisation scenario?

Idle capacity is the portion of allocated resources not actively used. Rightsizing, autoscaling, and cleaning up dev/test environments reduce idle waste—which lowers both spend and emissions. The slider measures how much of that idle share you expect to eliminate.

Can I model multi-cloud workloads?

The current release focuses on one provider at a time. Most teams start with their largest cloud footprint. We can build multi-cloud scenarios inside an engagement, aligning each region to the best carbon and cost outcomes.

What counts as “idle” in the optimisation scenario?

Idle capacity is the portion of allocated resources not actively used. Rightsizing, autoscaling, and cleaning up dev/test environments reduce idle waste—which lowers both spend and emissions. The slider measures how much of that idle share you expect to eliminate.

Home/Tools/Cloud Carbon Footprint Estimator

Cloud Carbon Footprint Estimator

Quantify your cloud carbon footprint, break down emissions by workload, and see how optimisation projects shrink your environmental impact.

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Cloud Footprint Inputs

Estimate your current footprint by entering monthly cloud spend or usage.

Cloud Provider

Reporting Period

Inputs are treated as monthly figures; annualised reports multiply by 12.

Input Method

Primary Region

Location-based emissions factors vary significantly by region. Numbers reflect average grid intensity.

Average Workload Utilisation55%

10%100%

Approximate share of allocated resources that are actively used. Remaining capacity is treated as idle.

Monthly Compute Spend

Monthly Storage Spend

Monthly Network Spend

Include embodied hardware emissions (manufacturing & logistics impact)

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Optimisation Scenario

Model how rightsizing, greener regions, or facility upgrades would change emissions.

Idle Workload Reduction Target30%

0%80%

Represents how much of the currently idle capacity you plan to eliminate (via rightsizing, autoscaling, shutting down dev/test).

Evaluate moving workloads to a lower-carbon region

Optimised Region

Select a target region to compare grid intensity. Results assume pricing impact is handled separately.

Model improved data center efficiency (lower PUE)

Baseline Footprint

21,619.4 kg CO₂e

≈ 21.62 metric tons per month

Optimised Scenario

14,625.6 kg CO₂e

Facility energy: 42,450 kWh per month

Estimated Reduction

6,993.8 kg

32.3% fewer emissions • 6,625 kWh saved

Emission Sources

Compute Workloads

16,406.91 (75.9%)

Storage Services

1,761.403 (8.1%)

Data Transfer & Networking

431.113 (2.0%)

Embodied Hardware Emissions

3,020 (14.0%)

Facility Energy Consumption per month

Baseline Facility Energy49,075 kWh

100%

Optimised Scenario42,449.875 kWh

87%

Detailed Breakdown

Compute Workloads(76%)

16,406.9 kg

Storage Services(8%)

1,761.4 kg

Data Transfer & Networking(2%)

431.1 kg

Embodied Hardware Emissions(14%)

3,020 kg

Total Emissions21,619.4 kg CO₂e

Scenario Comparison

Baseline (US East (N. Virginia))21,619.4 kg

→

Optimised (US West (Oregon))14,625.6 kg

Reduction6,993.8 kg (32.3%)

Key Assumptions

Grid intensity for US East (N. Virginia): 0.379 kg CO₂e per kWh.
PUE applied: 1.3 (facility overhead multiplier).
Embodied emissions included for hardware manufacturing.
Carbon-free energy mix: 26.0% of grid supply.

These figures are directional estimates using publicly available conversion factors. For audit-grade reporting, pair this with detailed billing exports and regional energy data.

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Next Step: Turn Estimates Into Action

Ready to connect cost optimisation with ESG reporting? Our cloud & security specialists can quantify savings, design greener architectures, and deliver quarterly sustainability dashboards.

Schedule a Cloud Sustainability Review Explore Cloud Optimisation Services

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Need help turning these estimates into a sustainability roadmap?

Our cloud optimisation team models cost, carbon, and security outcomes together—bringing ESG and FinOps under one plan.

Talk With a Cloud Sustainability Specialist See Cloud Optimisation Services

Frequently Asked Questions

Common questions about the Cloud Carbon Footprint Estimator

The calculator uses publicly available conversion factors (kWh per spend/usage), average data center PUE, and location-based grid intensity. Results are directional estimates designed for planning—not audited ESG reporting. Provide billing exports and measured utilisation to refine accuracy.

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ℹ️ Disclaimer

This tool is provided for informational and educational purposes only. All processing happens entirely in your browser - no data is sent to or stored on our servers. While we strive for accuracy, we make no warranties about the completeness or reliability of results. Use at your own discretion.