Azure Functions is a managed service for serverless applications, and it can be hosted in various environments, including Kubernetes, through KEDA (Kubernetes-based Event-Driven Autoscaling). This text explores the integration of Azure Functions with KEDA to facilitate event-driven applications within a Kubernetes cluster, specifically using Azure Kubernetes Service (AKS). The approach enables automatic horizontal scaling, optimizing resources according to workload demands, by utilizing Kubernetes tools like Horizontal Pod Autoscaler (HPA) and custom ScaledObject resources. KEDA allows the deployment of Azure Functions as Docker images within Kubernetes, which are then scaled based on metrics from event sources, such as Azure Storage Queues. Additionally, the text outlines the use of Pulumi, an infrastructure as code tool, to streamline the deployment processes by building Docker images, provisioning Kubernetes clusters, and installing Helm charts, thus simplifying the setup of a scalable function app environment in Kubernetes. This integration is particularly valuable for organizations that prioritize Kubernetes as their application platform and seek to leverage event-driven architectures.