Any particular reason you're building your own container system instead of leveraging LXC or Docker?

For the massively parallel workloads you find in data science, it seems like you'd benefit a lot from the wealth of container orchestration tools around Docker (swarm, Rancher/Cattle, Kubernetes) in order to easily scale out your functions. Especially when many companies already have these set up for their more vanilla applications.

This is an example I've seen that can leverage a docker swarm for invoking functions, loosely modeled after AWS Lambda: https://github.com/alexellis/faas