How CAST AI uses KEDA for Kubernetes autoscaling Kubernetes comes with several built-in autoscaling mechanisms - among them the Horizontal Pod Autoscaler (HPA). Scaling is essential for the producer-consumer workflow, a common use case in the IT world today. It’s especially useful for monthly reports and transactions with a huge load where teams need to spin up many workloads to process things faster and cheaper (for example, by using spot instances).
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