Which Kubernetes feature would you use to guard against split brain scenarios with your distributed application?

Replication controllers (and their successor, ReplicaSets) ensure a desired number of Pods run but do not provide the stable identities or ordering guarantees necessary for robustly managing distributed state or preventing split-brain.

Consensus protocols (like Raft or Paxos) are *implemented within* distributed applications, but StatefulSet is the Kubernetes resource that provides the necessary infrastructure (stable IDs, ordered operations) for these protocols to operate reliably in a distributed environment.

Rolling updates are a deployment strategy for gracefully updating applications, not a mechanism to prevent split-brain for distributed applications.

StatefulSets provide stable, unique network identifiers and stable, ordered deployment and scaling guarantees for Pods, which are crucial for distributed applications requiring strong consistency or leader election mechanisms to prevent split-brain scenarios. This ordering helps manage distributed consensus protocols effectively.