anchor.diff:  There must be operating pods in the project before a VPA can determine recommended resources.
   ====
   
  -Exempting containers from applying VPA recommendations::
  +[id="nodes-pods-vertical-autoscaler-using-exempt_{context}"]
  +== Exempting containers from applying VPA recommendations
  +
   If your workload object has multiple containers and you do not want the VPA to evaluate and act on all of the containers, create a VPA CR for a specific workload object and add a `resourcePolicy` to opt-out specific containers.
   
   When the VPA updates the pods with recommended resources, any containers with a `resourcePolicy` are not updated and the VPA does not present recommendations for those containers in the pod.
  
positive.code: There must be operating pods in the project before a VPA can determine recommended resources and apply the recommendations to new pods.
  ====
  
  Manually applying VPA recommendations::
  To use the VPA to only determine the recommended CPU and memory values, create a VPA CR for a specific workload object with `updateMode` set to `off`.
  
  When the pods are created for that workload object, the VPA analyzes the CPU and memory needs of the containers and records those recommendations in the `status` field of the VPA CR. The VPA does not update the pods as it determines new resource recommendations.
  
negative.code: There must be operating pods in the project before the VPA can determine recommended resources and apply the recommendations to new pods.
  ====
  
  [id="nodes-pods-vertical-autoscaler-using-pod_{context}"]
  == Automatically applying VPA recommendations on pod creation
  To use the VPA to apply the recommended resources only when a pod is first deployed, create a VPA CR for a specific workload object with `updateMode` set to `Initial`.
  
  When the pods are created for that workload object, the VPA analyzes the CPU and memory needs of the containers and assigns the recommended container resource limits and requests. The VPA does not update the pods as it learns new resource recommendations.
  