~/talk

When Observability Meets Sustainability: A Real World Experience

links:none on file
name:Hua Ye
links:none on file
name:Fan Meng
links:none on file
slides:none on file

A full‑stack measurement system collects ~100 metrics across security, reliability, operations and greenness, using sensors on racks and cooling plus Prometheus, Grafana, ELK and Kepler for IBM Z to attribute energy down to containers and processes. Real‑time dashboards and ML-driven rules produce automated actions: consolidation, power‑knob changes and job scheduling that match time‑of‑day prices (lowest 11pm–7am), where intelligent scheduling shifts 96→48 jobs and shows measurable drops in energy use, PUE and CO2 emissions in the demo.

AI-written summary · about

  1. 0:00Introduction
  2. 1:51Sustainability in IT
  3. 3:36IBM China’s sustainability framework
  4. 6:46Framework implementation
  5. 8:52Demo setup and observability tools
  6. 13:49Live energy monitoring demo
  7. 20:18Efficiency metrics and indicators
  8. 24:39AI energy optimization
  9. 27:13Carbon tracking and performance
  10. 29:19Q&A
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