Event-Driven Autoscaling with KEDA and Karpenter: Cost Optimization and Elastic Throughput for Cloud-Native Workloads
Static threshold-based autoscaling with Kubernetes Horizontal Pod Autoscaler (HPA) does not cover asynchronous event-driven workloads that only target CPU and memory usage average metrics, such as the default HPA does. The HPA targets metrics that are lagging indicators‚ unlike the queue depth and stream backlog metric...