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Kubernetes autoscaling (HPA) has served us well, but as workloads evolve, CPU and memory metrics are no longer enough. Enter KEDA, the industry standard for application autoscaling based on actual event depth.
In this session, we will move beyond the basics and explore the state-of-the-art of autoscaling. We will demonstrate how to transform modern applications into efficient, cost-effective, and resilient workloads.
Attendees will deep dive into:
Whether you are running batch jobs or high-traffic APIs, you will leave this talk with the patterns needed to optimize your cluster’s efficiency.