KubeFM · 2026-05-12 · 36 min
Most teams scale Kubernetes by thinking about pods and nodes. At Render, Brian Stack ran into a different dimension: hundreds of thousands of namespaces per cluster, multiplied across DaemonSets that list-watch every namespace. Brian explains how Render traced the issue through Calico and Vector, worked with upstream maintainers, and turned memory profiling into operational wins: lower node costs, lighter API-server load, and faster rollouts. In this interview: Why namespaces can become a hidden scaling bottleneck How DaemonSets multiply memory and control-plane pressure How profiling, staging clusters, and upstream collaboration freed 7 TiB Why pushing from an 80% fix to a complete fix can make teams faster Sponsor This episode is sponsored by LearnKube - 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: Interested in sponsoring an episode? Learn more.
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