Monitoring Energy Consumption and Building Energy Efficient Systems the Cloud Native Way
Talkat ContainerCon @ Open Source Summit Europe 2022 · on Friday, 2022-09-16· at 11:45· Wicklow Hall 1 (Level 2), Convention Centre Dublin, Spencer Dock, N Wall Quay, North Wall Dublin 1, D01 T1·
summary
Kepler measures per-pod power by probing kernel counters via eBPF and exports Prometheus metrics that Grafana renders; a model server (TensorFlow Keras + Flask) trains two linear models for CPU core and DRAM energy and serves predictions. Integration works on MicroShift with cgroup v2 and kernel headers; a live run of a Monte Carlo CPU-bound pod shows pod energy tracks core energy closely while DRAM energy is negligible, confirming the approach and enabling scheduler policies.
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chapters (5)
- 0:00Start
- 1:54Energy Measurement Methodology: Ideal vs Reality
- 8:24About Kepler Model Server
- 9:55Implementation of Kepler Model Server
- 12:20Peaks
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