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Energy Efficient Placement of Edge Workloads

CNCF [Cloud Native Computing Foundation] via YouTube

Overview

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Explore energy-efficient placement of edge workloads in this informative conference talk from KubeCon + CloudNativeCon Europe 2023. Discover how Kubernetes-based Efficient Power Level Exporter (Kepler) integrates with Kubernetes to provide container-level energy consumption metrics. Learn about leveraging eBPF programs to probe and export energy-related system counters, enabling better observation and decision-making for energy conservation. Understand the integration of Kepler with Prometheus and Grafana for visualizing time series metrics. Gain insights into sustainable cluster management by combining Kepler with Cloud Native patterns, Observability, and Kubernetes features such as node selectors, labels, affinity, and anti-affinity to optimize edge workload placement based on ideal load destinations.

Syllabus

Energy Efficient Placement of Edge Workloads - Parul Singh & Kaiyi Liu, Red Hat

Taught by

CNCF [Cloud Native Computing Foundation]

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