Autoscaling on Kubernetes can save costs, boost performance, and streamline operations – but only if done right. In this session, we’ll explore the real-world challenges of autoscaling containerized workloads, from unpredictable traffic patterns to complex resource management across multiple services. We’ll dive into how Kubernetes Event-Driven Autoscaling (KEDA) can simplify your scaling logic with custom metrics and various triggers, so you can handle spikes efficiently without overprovisioning. We’ll cover resource-based, event driven, custom metrics based and HTTP-driven scaling, and the often-overlooked scale-to-zero strategy – helping you optimize for both capacity and cost. To bring these concepts to life, we’ll walk through a live demo showing how to set up and monitor diverse scaling scenarios in real time. Get ready to tackle the pitfalls of autoscaling head-on and deploy robust, cost-effective solutions in your own Kubernetes environment.