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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…
Website: ku.bz
