# DevConf.US 2024 - Kubernetes Autoscale Everything! Topics * machine learning and autoscaler * https://github.com/kubernetes/autoscaler/blob/master/cluster-autoscaler/proposals/provisioning-request.md * how to handle GPUs * how will CAS handle DRA? * bottlenecks in CAS, where are they? * moving running PODs, is this possible? * checkpointing is work in this direction * https://github.com/kubernetes/enhancements/pull/4305 * proactive vs reactive autoscaling * how to scale based on other sources of data, eg bandwidth * https://keda.sh/ # DevConf.CZ 2024 - Kubernetes Autoscale Everything! Topics * workload placement * consolidating resources * [CEL](https://kubernetes.io/docs/reference/using-api/cel/) * might be useful for admission webhooks replacement * might also be helpful pod scheduling readiness * https://kubernetes.io/docs/concepts/scheduling-eviction/pod-scheduling-readiness/ * kueue project might also work * https://github.com/kubernetes-sigs/kueue * autoscaling vs autoprovisioning * VPA - in-place scaling, has anyone run this? * dynamic resource allocation, might be related in the future * https://kubernetes.io/docs/concepts/scheduling-eviction/dynamic-resource-allocation/ * karpenter and cluster-api * did they consider capi for a backend? * karpenter with provisioning request * related topic, https://www.redhat.com/en/blog/how-full-is-my-cluster-part-6-proactive-node-autoscaling * hybrid cloud * will we see kubernetes spanning across cloud providers?