docs: document trade-offs in memory configuration

Problem: memory requests and limits has been set for `master` process in
PR kubernetes-sigs#1631. It does not follow best practices for setting those values,
but the intention was provide default values for a wide variety of
clusters, including small ones.

Solution: provide solid documentation about the problems that might
happen in production environments when
`resource.memory.requests << resource.memory.limits`. Add a link to
relevant external sources, which includes the advise from Tim Hockin:
> Always set memory limit == request

Signed-off-by: cmontemuino <[email protected]>

deployment/helm/node-feature-discovery/values.yaml

@@ -100,6 +100,12 @@ master:
       memory: 4Gi
     requests:
       cpu: 100m
+      # You may want to use the same value for `requests.memory` and `limits.memory`. The “requests” value affects scheduling to accommodate pods on nodes.
+      # If there is a large difference between “requests” and “limits” and nodes experience memory pressure, the kernel may invoke
+      # the OOM Killer, even if the memory does not exceed the “limits” threshold. This can cause unexpected pod evictions. Memory
+      # cannot be compressed and once allocated to a pod, it can only be reclaimed by killing the pod. There is a great article by 
+      # Robusta that discusses this issue.
+      # https://home.robusta.dev/blog/kubernetes-memory-limit
       memory: 128Mi
 
   nodeSelector: {}

docs/deployment/helm.md

@@ -132,7 +132,7 @@ API's you need to install the prometheus operator in your cluster.
 | `master.service.type`      | string  | ClusterIP                               | NFD master service type. **NOTE**: this parameter is related to the deprecated gRPC API and will be removed with it in a future release |
 | `master.service.port`      | integer | 8080                                    | NFD master service port. **NOTE**: this parameter is related to the deprecated gRPC API and will be removed with it in a future release |
 | `master.resources.limits`  | dict    | {cpu: 300m, memory: 4Gi}                | NFD master pod [resources limits](https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#requests-and-limits) |
-| `master.resources.requests`| dict    | {cpu: 100m, memory: 128Mi}              | NFD master pod [resources requests](https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#requests-and-limits) |
+| `master.resources.requests`| dict    | {cpu: 100m, memory: 128Mi}              | NFD master pod [resources requests](https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/#requests-and-limits). You may want to use the same value for `requests.memory` and `limits.memory`. The “requests” value affects scheduling to accommodate pods on nodes. If there is a large difference between “requests” and “limits” and nodes experience memory pressure, the kernel may invoke the OOM Killer, even if the memory does not exceed the “limits” threshold. This can cause unexpected pod evictions. Memory cannot be compressed and once allocated to a pod, it can only be reclaimed by killing the pod. There is a great article by [Robusta](https://home.robusta.dev/blog/kubernetes-memory-limit) that discusses this issue.|
 | `master.tolerations`       | dict    | _Scheduling to master node is disabled_ | NFD master pod [tolerations](https://kubernetes.io/docs/concepts/scheduling-eviction/taint-and-toleration/) |
 | `master.annotations`       | dict    | {}                                      | NFD master pod [annotations](https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/) |
 | `master.affinity`          | dict    |                                         | NFD master pod required [node affinity](https://kubernetes.io/docs/tasks/configure-pod-container/assign-pods-nodes-using-node-affinity/) |