Consensus is fundamental to consistent, distributed systems. To guarantee system availability in the event of inevitable crashes, systems need a way to ensure each node in the cluster is in alignment, such that work can seamlessly transition between nodes in the case of failures.
help to drive resiliency for distributed systems by providing the logic for processes like leader election, atomic configuration changes, synchronization and more.
As data industry leaders like CockroachDB, MongoDB, Neo4j and TiDB have demonstrated, Raft-based systems deliver simpler, faster and more reliable distributed data environments. Raft is becoming the standard consensus protocol for today’s distributed data systems because it marries particularly well with performance engineering to further boost the throughput of data processing.