Ray is, like YARN, a resource manager - but it's lightweight and fast. Kind of like Erlang is for a lightweight process model, Ray can start tens of thousands of containers with much lower latency than YARN or Mesos or Kubernetes. It has found a niche in distributed Reinforcement Learning (deep RL), and is establishing a beach-head there. Now it faces the chasm....