Autoscaling Kubernetes Nodes using a Cluster Autoscaler

So far, we have discussed scaling at the level of individual Pods, but this is not the only way in which you can scale your workloads on Kubernetes. It is possible to scale the cluster itself to accommodate changes in demand for compute resources – at some point, we will need more Nodes to run more Pods. You can configure a fixed number of nodes to manage Node-level capacity manually. This approach is still applicable even if the process of setting up, managing, and decommissioning these nodes is automated.

This is solved by the CA, which is part of the Kubernetes autoscaler repository (https://github.com/kubernetes/autoscaler/tree/master/cluster-autoscaler). The CA must be able to provision and deprovision Nodes for the Kubernetes cluster, so this means that vendor-specific plugins must be implemented. You can find the list of supported cloud service providers here: https://github.com/kubernetes/autoscaler/tree/master...