instruction: Create a comprehensive Dockerfile for cluster applications with best practices
output: ```dockerfile
  from the kubelet and Pods in failure zone A, and direct that traffic only
  to the control plane hosts that are also in zone A. If a single control-plane host or
  endpoint failure zone A goes offline, that means that all the control-plane traffic for
  nodes in zone A is now being sent between zones. Running multiple control plane hosts in
  each zone makes that outcome less likely.
  etcd storage
  To improve performance of large clusters, you can store Event objects in a separate
  dedicated etcd instance.
  When creating a cluster, you can (using custom tooling):
  
  start and configure additional etcd instance
  configure the API server to use it for storing events
  
  See Operating etcd clusters for Kubernetes and
  Set up a High Availability etcd cluster with kubeadm
  for details on configuring and managing etcd for a large cluster.
  Addon resources
  Kubernetes resource limits
  help to minimize the impact of memory leaks and other ways that pods and containers can
  impact on other components. These resource limits apply to
  addon resources just as they apply to application workloads.
  For example, you can set CPU and memory limits for a logging component:
   ...
   containers:
   - name: fluentd-cloud-logging
   image: fluent/fluentd-kubernetes-daemonset:v1
   resources:
   limits:
   cpu: 100m
   memory: 200Mi
  Addons' default limits are typically based on data collected
  ```