[jo909]

A lot of the issues were kind of "external" and while worth thinking about for every deployment, not really something the k8s project can do much about other than warn in the documentation.

  - disk latency
  - monitoring queries
  - homemade autoscaler killing all etcd nodes
  - custom scheduling policy moving many kubedns processes to the same node
  - unusually large docker images
  - "sharing" gcr.io request quotas because of Azure NAT IPs

That's not to say that Mesos is not indeed scaling better or easier. I don't know enough about Mesos.