14 min read · scale batch and queue workloads from external events
KEDA event-driven autoscaling in Kubernetes: batch and queue workloads beyond CPU
HPA scales on CPU and memory; queue consumers and batch jobs need queue depth, lag, and schedules. KEDA adds scale-to-zero, ScaledObject for long-lived workers, and ScaledJob for fan-out batches—without paying for idle pods between bursts.