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In-person
1-4 April 2025
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A Comparative Analysis of Kueue, Volcano, and YuniKorn - Wei Huang, Apple & Shiming Zhang, DaoCloud
Wednesday April 2, 2025 11:15 - 11:45 BST
Level 1 | Hall Entrance N10 | Room G
Choosing the best solution for running batch workloads on Kubernetes can be frustrating. Kueue, Volcano, and Apache YuniKorn were designed to address similar challenges but differ in how they tackle them. Deciding which is most suitable for a specific use case is often confusing.

Batch workloads like big data, data engineering, HPC, AI, and machine learning share common requirements, especially around batch-scheduling. Managing resource sharing and isolation between tenants while balancing utilization and meeting SLAs presents a significant challenge on Kubernetes.

This session dives into three community-driven solutions: Kueue, Volcano, and Apache YuniKorn. We’ll explore their features, use-case suitability, and design trade-offs, providing a comprehensive comparison. Attendees will leave with the insights needed to answer a crucial question: which solution best addresses the batch-scheduling needs of my workloads?
Speakers
SZ

Shiming Zhang

Software Engineer, DaoCloud
Shiming Zhang is a contributor to Kubernetes with the main focus on scalability, performance, reliability and testing, he gained experience and contributed to many Kubernetes features and most of its components.
avatar for Wei Huang

Wei Huang

Staff Software Engineer, Apple
Wei Huang is a Software Engineer at Apple, focusing on Kube scheduling and control plane. He has served as a co-chair of Kubernetes SIG-Scheduling for years. He is also the founder of two Kubernetes sub-projects, scheduler-plugins, and kwok.
Wednesday April 2, 2025 11:15 - 11:45 BST
Level 1 | Hall Entrance N10 | Room G
  Cloud Native Experience

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