Lightweight Kubernetes Distributions: A Performance Comparison of MicroK8s, k3s, k0s, and Microshift

H. Koziolek, Nafise Eskandani
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引用次数: 2

Abstract

With containers becoming a prevalent method of software deployment, there is an increasing interest to use container orchestration frameworks not only in data centers, but also on resource-constrained hardware, such as Internet-of-Things devices, Edge gateways, or developer workstations. Consequently, software vendors have released several lightweight Kubernetes (K8s) distributions for container orchestration in the last few years, but it remains difficult for software developers to select an appropriate solution. Existing studies on lightweight K8s distribution performance tested only small workloads, showed inconclusive results, and did not cover recently released distributions. The contribution of this paper is a comparison of MicroK8s, k3s, k0s, and MicroShift, investigating their minimal resource usage as well as control plane and data plane performance in stress scenarios. While k3s and k0s showed by a small amount the highest control plane throughput and MicroShift showed the highest data plane throughput, usability, security, and maintainability are additional factors that drive the decision for an appropriate distribution.
轻量级Kubernetes发行版:MicroK8s、k3s、k0s和Microshift的性能比较
随着容器成为一种流行的软件部署方法,不仅在数据中心,而且在资源受限的硬件(如物联网设备、边缘网关或开发人员工作站)上使用容器编排框架的兴趣越来越大。因此,在过去的几年里,软件供应商已经为容器编排发布了几个轻量级的Kubernetes (k8)发行版,但软件开发人员仍然很难选择合适的解决方案。现有的关于轻量级K8s发行版性能的研究只测试了小型工作负载,结果不确定,而且没有涵盖最近发布的发行版。本文的贡献是对MicroK8s、k3s、k0s和MicroShift进行比较,研究它们在压力场景下的最小资源使用以及控制平面和数据平面性能。虽然k3和k0显示了少量最高的控制平面吞吐量,而MicroShift显示了最高的数据平面吞吐量,但可用性、安全性和可维护性是驱动适当分布决策的其他因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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