Raft peer cluster communication is the mechanism by which nodes (servers) in a distributed system, typically in Roles of Leader, Follower, or Candidate, exchange messages to maintain a consistent, replicated log, ensuring high availability and strong consistency. It enables leader election and log replication via remote procedure calls (RPCs) like AppendEntries and RequestVote. Synonyms include Raft consensus protocol communication, Raft RPC communication, or distributed log replication messaging.
Usage Examples in Distributed Systems:
Etcd (Kubernetes): etcd uses Raft to store cluster state, ensuring all nodes have the same configuration.
Distributed Databases (CockroachDB/TiDB): Distributed systems use Raft for coordinating node data replication and ensuring data consistency across geographically distributed nodes.
Service Discovery (Consul): Raft ensures that all nodes in a service discovery cluster agree on which services are available and where they are located.
Configuration Management (Vault): HashiCorp Vault uses Raft to manage distributed secrets, requiring a quorum to maintain availability.
Key Communication Mechanisms:
AppendEntries RPC: Used by the leader to replicate log entries to followers and as a heartbeat mechanism to maintain authority.
RequestVote RPC: Used by candidates to gather votes during elections.
Heartbeats: Periodic messages from the leader to prevent follower timeout and new elections.
Core Principles:
Leader-Based: One node is elected leader; all client requests go through it.
Quorum-Based: A majority of nodes must agree on a state change for it to be committed.
Linearizability: Ensures strong consistency for read and write operations.
Log Replication: Ensures all nodes in the cluster agree on the same sequence of opera
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