As cloud-native adoption grows, so do unexpected cloud bills. Inefficient workload scaling on Kubernetes is often the culprit and traditional CPU/memory-based autoscaling no longer cuts it.

This talk introduces Kubernetes Event-Driven Autoscaling (KEDA) as a smarter, cost-efficient alternative. Attendees will learn how to use KEDA's different type of scalers to scale workloads based on real-time external metrics, reduce resource waste, and lower cloud spend, all without sacrificing performance.

Through real-world scenarios and practical demos, this session empowers developers, platform engineers, and SREs to optimize scaling strategies and take control of their cloud costs.