This article explains how Bilibili’s large‑scale Kubernetes cloud platform reduces costs and improves machine utilization by applying co‑location (mixed‑tenant) techniques, including resource‑aware scheduling, dynamic isolation, and a dedicated management console across online, offline, and idle‑machine scenarios.
Bilibili’s Kubernetes cloud platform boosts server utilization by co‑locating latency‑sensitive online services with batch‑oriented offline jobs on the same nodes, using custom schedulers, extended resources, dynamic CPU/memory isolation, and a management console, achieving average CPU usage around 35 % and significant cost savings.
This article explains how Alibaba’s mixed‑deployment (co‑location) technology combines online transaction services and offline compute workloads on shared physical servers, detailing its architecture, scheduling mechanisms, resource‑concession strategies, achieved performance gains, and future directions for large‑scale e‑commerce infrastructure.
This article explains Alibaba's mixed‑deployment (co‑location) technique, detailing its motivation, architecture, resource‑sharing mechanisms, scheduling strategies, performance results, and future directions for scaling and refining resource utilization across online and offline workloads.
This article explains Alibaba's co‑location (混部) technology that mixes online services and batch compute on the same physical servers, detailing its background, key characteristics, scheduling architecture, resource isolation mechanisms, cost‑saving formulas, and future roadmap, showing how it boosts utilization and reduces expenses.
Alibaba’s mixed‑deployment (Co‑location) technology combines online services and batch compute tasks on shared physical resources, using priority‑based scheduling, resource isolation, and dynamic memory management to dramatically improve CPU utilization, cut infrastructure costs, and maintain service level objectives during peak traffic events.
