The Namespaces Scaling Trap, with Brian Stack

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 bottleneckHow DaemonSets multiply memory and control-plane pressureHow profiling, staging clusters, and upstream collaboration freed 7 TiBWhy pushing from an 80% fix to a complete fix can make teams fasterSponsorThis episode is sponsored by LearnKube — 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/0mrvCsXrVInterested in sponsoring an episode? Learn more.