instruction: Create a Dockerfile for configuration
output: ```dockerfile
  from a PodTo consume a ConfigMap in a volume in a Pod:Create a ConfigMap or use an existing one. Multiple Pods can reference the
  same ConfigMap.Modify your Pod definition to add a volume under .spec.volumes[]. Name
  the volume anything, and have a .spec.volumes[].configMap.name field set
  to reference your ConfigMap object.Add a .spec.containers[].volumeMounts[] to each container that needs the
  ConfigMap. Specify .spec.containers[].volumeMounts[].readOnly = true and
  .spec.containers[].volumeMounts[].mountPath to an unused directory name
  where you would like the ConfigMap to appear.Modify your image or command line so that the program looks for files in
  that directory. Each key in the ConfigMap data map becomes the filename
  under mountPath.This is an example of a Pod that mounts a ConfigMap in a volume:apiVersion: v1
  kind: Pod
  metadata:
   name: mypod
  spec:
   containers:
   - name: mypod
   image: redis
   volumeMounts:
   - name: foo
   mountPath: "/etc/foo"
   readOnly: true
   volumes:
   - name: foo
   configMap:
   name: myconfigmap
  Each ConfigMap you want to use needs to be referred to in .spec.volumes.If there are multiple containers in the Pod, then each container needs its
  own volumeMounts block, but only one .spec.volumes is needed per ConfigMap.Mounted ConfigMaps are updated automaticallyWhen a ConfigMap currently consumed in a volume is updated, projected keys are eventually updated as well.
  The kubelet checks whether the mounted ConfigMap is fresh on every periodic sync.
  However, the kubelet uses its local cache for getting the current value of the ConfigMap.
  The type of the cache is configurable using the configMapAndSecretChangeDetectionStrategy field in
  the KubeletConfiguration struct.
  A ConfigMap can be either propagated by watch (default), ttl-based, or by redirecting
  all requests directly to the API server.
  As a result, the total delay
  ```