I've got an ACS k8s Windows cluster setup and working. Early on I discovered I needed to use a nodeSelector or k8s would try and assign my pods to the master node (Linux) even though my container images are Windows. I used this:

  nodeSelector:
    beta.kubernetes.io/os: windows

Now I'm trying to assign memory and cpu resources to my pods and k8s is unable to find a suitable node. It shows this error:

No nodes are available that match all of the following predicates:: Insufficient memory (2), MatchNodeSelector (1)

I have a super small resource assignment and my nodes have plenty of room for these:

  resources:
    requests:
      memory: 1Mi

And here is the full k8s deployment yaml:

apiVersion: apps/v1beta1
kind: Deployment
metadata:
  name: forest-worker-res
spec:
  replicas: 1
  revisionHistoryLimit: 0
  selector:
    matchLabels:
      app: forest-worker
  template:
    metadata:
      labels:
        app: forest-worker
        env: debug
    spec:
      containers:
        - name: forest-worker
          image: intmadras.azurecr.io/forest-worker
          resources:
            requests:
              memory: 10Mi
      nodeSelector:
        beta.kubernetes.io/os: windows
      imagePullSecrets:
        - name: azurereg

If I remove the nodeSelector then the depoyment proceeds but again fails because k8s assigns it to the master node. So I'm stuck. How do I use a nodeSelector and assign resources?