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

Watch (or listen to) it here: https://ku.bz/lMpNng_33

🌟 This episode is brought to you by Learnk8s — Become an expert in Kubernetes! Join the next Advanced Kubernetes workshop: https://learnk8s.io/training

With @Birthmarkb "Chief Idea Officer" Farrell