YoVDO

Energy Efficient Placement of Edge Workloads

Offered By: CNCF [Cloud Native Computing Foundation] via YouTube

Tags

Kubernetes Courses Grafana Courses Prometheus Courses Energy Efficiency Courses Edge Computing Courses Cluster Management Courses Observability Courses eBPF Courses Kepler Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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]

Related Courses

Introduction to Cloud Infrastructure Technologies
Linux Foundation via edX
Scalable Microservices with Kubernetes
Google via Udacity
Google Cloud Fundamentals: Core Infrastructure
Google via Coursera
Introduction to Kubernetes
Linux Foundation via edX
Fundamentals of Containers, Kubernetes, and Red Hat OpenShift
Red Hat via edX