Green Must Be Convenient
summary
Claim: Azure SQL Database manages vast JSON objects and turns raw data in a data lake into a relational view used by analytics. It gives concrete numbers: server embodied carbon ~4,000 kg and a phone ~8 kg, and shows power ratios like PUE ~1.05–1.1. Measurements show CPU power is non‑linear so consolidation matters. A working tool exists: kubernetes plugin for carbon‑aware scheduling that moves or time‑shifts workloads to greener grids, and extending server lifetimes to ~10 years reduces lifecycle emissions.
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chapters (10)
- 0:00Green software introduction
- 4:46Green Software Foundation
- 7:16Data center energy efficiency
- 11:51Hardware efficiency and lifetimes
- 16:15Scaling strategies and incentives
- 19:26Carbon awareness and energy mix
- 23:26Shifting workloads in space and time
- 28:55Measuring and reducing emissions
- 33:16Introducing the SCI metric
- 35:45Summary and call to action
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