Cluster & deploy
Stories about how Spark runs on a cluster: the role of the cluster manager, and how the driver and executors are started and managed.
Planned stories:
- Driver and executors: who does what and how they find each other
- Resource negotiation: how Spark asks for cores and memory
- Standalone vs YARN vs Kubernetes: one story, different backends
Stories will be added here gradually.