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 second
Why NUMA-aware scheduling and two-layer architecture are crucial for handling complex workloads at scale
How Katalyst provides node-level resource insights to enable efficient workload co-location and improve CPU utilization

Sponsor

This episode is sponsored by Learnk8s — get started on your Kubernetes journey through comprehensive online, in-person or remote training.

More info

Find all the links and info for this episode here: https://ku.bz/lMpNng_33
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5,000 pods/second and 60% utilization with Gödel and Katalyst, with Yue Yin

KubeFM

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