Auto-Scaling Agent Worker Pools in Kubernetes
KEDA and Karpenter form a two-layer scaling approach built for stateful agent work on GPUs.
Priya Subramaniam
4 stories
KEDA and Karpenter form a two-layer scaling approach built for stateful agent work on GPUs.
Autonomous systems need new severity rules built around damage that can't be undone.
Setting timeouts and retries right prevents most agent failures in production.
Agents running with too much access turn routine failures into production disasters.