Enable javascript in your browser for better experience. Need to know to enable it? Go here.
Published : Apr 26, 2023
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar. Understand more
Apr 2023
Assess ?

衡量能源消耗是团队减少软件碳足迹的重要步骤。云碳足迹 (CCF) 通过从云 API 检索的账单和使用数据估计能源消耗。Kepler 是基于 Kubernetes 的高效功率级别导出器(Kubernetes-based Efficient Power Level Exporter)的缩写。它通过使用软件计数器(RAPL, ACPInvml)来测量硬件资源的功耗,并采用基于 eBPF 的方法来将功耗归因于进程、容器和 Kubernetes Pod。然后,使用自定义的 ML 模型和 SPEC Power 基准测试数据将功率使用转换为能量估算。最后,将 Pod 级别的能量消耗报告作为 Prometheus 度量标准公开。在 Kubernetes 运行在虚拟机上的情况下,例如不使用裸机实例时,Kepler 使用 cgroups 来估计能源消耗。我们对云碳足迹有着丰富的经验,并且可以证明其有用性,但我们对 Kepler 项目的方法感到好奇。

Download the PDF

 

 

 

English | Português 

Sign up for the Technology Radar newsletter

 

 

Subscribe now

Visit our archive to read previous volumes