~/talk

Sustainability Research the Cloud Native Way

github:rootfs
slides:none on file

Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF and system counters to export energy and performance metrics to Prometheus, staying lightweight (~2% CPU, ~40MB). A small ML model maps counters to per-node, per-pod power; a demo lowers CPU frequency from ~4GHz to 2GHz to save ~30–40% node energy while the clever recommender plugs into Kubernetes VPA to double pod CPU requests (250→500 mCPU) and keep instructions-per-second stable. Default reaction time is about one minute and is configurable.

AI-written summary · about

  1. 0:00Cloud native sustainability
  2. 2:06Metrics correlation and scheduling
  3. 4:13Kepler project for power
  4. 9:35Energy with Kepler and VPA
  5. 14:37Kepler deployment demo
  6. 23:16Workload testing with recommender
  7. 29:50Future directions and community
  8. 30:54Q&A on energy beyond CPU
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