KEDA: How Event-Driven Autoscaling Cuts Kubernetes Cost
Blog post from Cast AI
KEDA (Kubernetes Event-Driven Autoscaling) is an open-source project created by Microsoft and Red Hat, which was graduated by the Cloud Native Computing Foundation (CNCF) on August 22, 2023. It enhances Kubernetes Horizontal Pod Autoscaler (HPA) by enabling workloads to scale based on external event signals, such as queue depths or Kafka consumer lag, rather than just CPU and memory metrics. KEDA's ability to scale workloads to zero when no events are pending is a key feature, differing from HPA's minimum requirement of one replica, thus reducing idle costs. This event-driven scaling model is particularly beneficial for workloads like queue consumers or batch jobs, which sit idle between processing bursts. KEDA wraps HPA by creating and managing an HPA resource when a ScaledObject is defined, allowing for seamless integration. Furthermore, KEDA supports over 70 built-in scalers and custom event sources through the External Scaler gRPC interface, and it can be deployed across various cloud and on-premises environments without vendor lock-in.
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