It's interesting and great to see this stuff take center stage more and more. Those lucky enough to work at places like Twitter, Google, Facebook and other large tech companies will have already seen how this kind of thing dominates the datacenter's there and has been at the core of their systems for many years. People on the outside though are rarely exposed to this concept of datacenter scale computing aside from things like hadoop and so the idea of leveraging a datacenter level API is hard to fathom. I believe it's still going to be a while before this truly becomes mainstream and really we'll see the historical two level forward shift whereby on one side we've previously achieved compute as a service with EC2 and GCE, while developing platform as a service on the other side with Google App Engine and Heroku. These service different demographics and we'll continue to see the level of abstractions occur providing SREs/Devops engineers access to Cluster As A Service and microservice platforms for developers/programmers to give them more flexibility.

Google SREs by last count were 1 engineer to 1000 machines. In 10 years the common devops engineer at a 200 person startup will leverage the same number of resources using layers of abstraction like Mesos and Kubernetes.