Kubernetes promises to run containerised workloads efficiently and at scale. It also provides auto-scaling features where the workloads can scale to meet the traffic demands. None of this is available by default. This demo will focus on architecting Kubernetes clusters for high-traffic websites or workloads. Attendees will see how Prometheus can be used to collect metrics from workloads. These metrics will then be fed to Kubernetes Pod Autoscaler using KEDA (Kubernetes Event-driven Autoscaling) to scale the pods to meet the demand automatically.
