5,000 pods/second and 60% utilization with Gödel and Katalyst, with Yue Yin

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Learn how ByteDance manages computing resources at scale with custom Kubernetes scheduling solutions that handle millions of pods across thousands of nodes.Yue Yin, Software Engineer at ByteDance, discusses their open-source Gödel scheduler and Katalyst resource management system. She explains how these tools address the challenges of managing online and offline workloads in large-scale Kubernetes deployments.You will learn:How Gödel's distributed architecture with dispatcher, scheduler, and binder components enables the scheduling of 5,000 pods per secondWhy NUMA-aware scheduling and two-layer architecture are crucial for handling complex workloads at scaleHow Katalyst provides node-level resource insights to enable efficient workload co-location and improve CPU utilizationSponsorThis episode is sponsored by Learnk8s — get started on your Kubernetes journey through comprehensive online, in-person or remote training.More infoFind all the links and info for this episode here: https://ku.bz/lMpNng_33Interested in sponsoring an episode? Learn more.

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