When we send a request to Kubernetes API to create a Pod (directly or through one of the Controllers), it initiates the scheduling process. What happens next or, to be more precise, where it will decide to run a Pod, depends hugely on the resources we defined for the containers that form the Pod. In a nutshell, Kubernetes will decide to deploy a Pod, whenever it is possible, inside one of the nodes that has enough available memory.
When memory requests are defined, Pods will get the memory they requested. If memory usage of one of the containers exceeds the requested amount, or if some other Pod needs that memory, the Pod hosting it might be killed. Please note that I wrote that a Pod might be ...
