instruction: Create a comprehensive Dockerfile for storage applications with best practices
output: ```dockerfile
  from each container in a shared
  volume. You can create a subdirectory for each container in the shared volume,
  and mount the subdirectory to the container.The following example creates a logs volume and initiates the subdirectories
  app1 and app2 in the volume. It then starts two containers and mounts one
  of the subdirectories of the logs volume to each container. This example
  assumes that the processes in the containers write their logs to
  /var/log/app1 and /var/log/app2.
  
  $ docker volume create logs
  $ docker run --rm \
   --mount src=logs,dst=/logs \
   alpine mkdir -p /logs/app1 /logs/app2
  $ docker run -d \
   --name=app1 \
   --mount src=logs,dst=/var/log/app1,volume-subpath=app1 \
   app1:latest
  $ docker run -d \
   --name=app2 \
   --mount src=logs,dst=/var/log/app2,volume-subpath=app2 \
   app2:latest
  With this setup, the containers write their logs to separate subdirectories of
  the logs volume. The containers can't access the other container's logs.Share data between machinesWhen building fault-tolerant applications, you may need to configure multiple
  replicas of the same service to have access to the same files.
  There are several ways to achieve this when developing your applications.
  One is to add logic to your application to store files on a cloud object
  storage system like Amazon S3. Another is to create volumes with a driver that
  supports writing files to an external storage system like NFS or Amazon S3.Volume drivers let you abstract the underlying storage system
  ```