As cloud-native applications continue to evolve, scaling infrastructure efficiently and cost-effectively has become increasingly crucial. Kubernetes has been a key player in this space, providing powerful tools for managing containerized workloads. One such tool is KEDA (Kubernetes Event-driven Autoscaling), which enables fine-grained control over scaling based on application needs. In this blog post, we will explore the concept and architecture of KEDA, compare it with other Kubernetes scaling tools like Karpenter and HPA, and discuss how KEDA and HPA can work together to provide scalable and cost-effective solutions.