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Building an AWS EC2 Carbon Emissions Dataset

Talkat apidays Paris 2021 · 2021-12-07..12-09· [data-engineering, web-performance]
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slides:none on file

Builds an EC2 carbon dataset and a public calculator using on-instance RAPL readings accessed via turbostress (stress-ng + turbostat) to profile Intel bare‑metal CPU+memory power, then scales those profiles to instance sizes. Finds peaks around 900 W on c5 metal under full load, adds a heuristic uplift for unmeasured components, and models manufacturing as a naive 1 ton manufacturing baseline per minimal server with a 4‑year lifespan to get hourly embodied CO2. Limits: no AMD/Graviton coverage and virtualization assumptions.

AI-written summary · about

  1. 0:00Start
  2. 1:16Why Did We Do this Build this Data Set for Ec2
  3. 6:27Build Consumption Profiles
  4. 10:14How Virtual Machines Are Defined by Aws
  5. 14:00Naive Model To Estimate the Emissions from Manufacturing
  6. 17:16Cloud Carbon Footprint Project
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