This talk explores how autoscaling paradigms can enhance network ingress in Kubernetes.

With GatewayAPI becoming a popular choice to manage network traffic, we will see how KEDA's capability to interpret various metrics as scaling decisions can be used to automate deployment patterns. By bringing these two technologies together, I would like to advocate for a revised look into standard traffic management strategies, such as canary deployments, blue/green deployments, and A/B testing.