AKS is a versatile tool, capable of running all kinds of workloads. Because of this, it makes no assumptions about the kind of jobs it will be running and gives the controls to the user to figure out the best compute model for the workload. In this webinar, we’ll look at those controls and how you can tune AKS to work with your workloads using node pools, virtual nodes, and auto-scaling, and then shaping those workloads with node selectors, taints/tolerations, and affinities.
