Implementing Fine-Grained and Pluggable Container Resource Management Leverag...- Qiang Ren & He Cao
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Implementing Fine-Grained and Pluggable Container Resource Management Leveraging NRI | 基于 NRI 实现精细化且可插拔的容器资源管理 - Qiang Ren, Intel & He Cao, ByteDance
To overcome Kubernetes' limitations in resource management, ByteDance developed Katalyst, a resource management system. Katalyst employs a range of methodologies, including colocation, node over-commitment, specification recommendation, and tidal colocation, aimed at optimizing cluster resource utilization.
Initially, Katalyst introduced a QoS Resource Manager (QRM) framework within kubelet, facilitating versatile container resource allocation through a plugin architecture. Presently, the Node Resource Interface (NRI) presents a refined alternative.
This session elucidates how Katalyst leverages NRI for fine-grained and adaptable container resource management, ensuring efficiency without intrusive modifications of upstream components. This novel architecture allows Katalyst to seamlessly integrate with native Kubernetes, offering a user-friendly and easily maintainable solution.
为了克服 Kubernetes 在资源管理方面的局限性，字节跳动构建了一个资源管理系统 Katalyst，通过在离线业务常态混部、资源超分、规格推荐、潮汐混部等方式，提升集群的资源利用率。最初，Katalyst 在 kubelet 中引入了一个 QoS Resource Manager（QRM）框架，通过插件化的方式来扩展容器的资源分配策略；当前，Node Resource Interface（NRI）提供了一个原生的替代方案。
本次演讲将介绍 Katalyst 如何通过 NRI 实现精细化且可插拔的容器资源管理，在不对上游组件进行侵入性修改的情况下，提升资源利用率并保证业务的 SLO 不受影响。这种全新的架构使 Katalyst 能够与原生 Kubernetes 无缝集成，提供了一种易于使用和维护的解决方案。