GreenGate

Hands-off, carbon-aware path to production. Every number below is measured from real GitLab pipelines with the SCI method, unless it says projection.

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Key numbers

gCO2e per pipeline run

App scope (lint, tests, image build). Baseline = the intentionally wasteful pipeline; optimized = after the Duo optimizer flow's MR merged.

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Projection projection, not a measurement

If a team ran this optimization on , the measured saving per pipeline would add up to:

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How this is measured

SCI = ((E × I) + M) per R, with R = one pipeline run (ISO/IEC 21031:2024). E comes from job runtime × vCPU and memory power coefficients (Cloud Carbon Footprint) × PUE, I is the grid intensity of the runner region (Google Cloud us-east1, where GitLab.com hosted runners run), M is amortized embodied hardware carbon. Absolute grams are estimates; the percentage reduction compares the same jobs with the same method.

Full methodology and sources · Repository