Raft

Raft's authors Diego Ongaro and John Ousterhout stated that algorithm understandability should be the primary design goal

Every write operation to etcd goes through Raft log replication where the Leader receives the request, replicates to a majority of Followers, and returns success after confirming the commit

Diego Ongaro proposed Raft in his 2014 doctoral dissertation, with user studies demonstrating Raft is significantly easier to understand and teach than Paxos

In production systems, tuning election timeouts and heartbeat intervals directly affects failure recovery time, typically ranging from hundreds of milliseconds to a few seconds

The Raft algorithm was designed to prioritize understandability compared to Paxos

In a Raft cluster, every node is in one of three states at any given moment

etcd is the core data store for Kubernetes and uses Raft to guarantee strong consistency of cluster configuration data

HashiCorp's Consul uses Raft to achieve consistency in service discovery and configuration management

Raft decomposes the consensus problem into three subproblems: Leader Election, Log Replication, and Safety

Geographic redundancy refers to deploying functionally equivalent computing and storage resources in multiple physically isolated locations, so that when any one site fails, operations can be taken over by other sites; distributed architecture further partitions data and computation across multiple nodes, maintaining overall availability through consensus protocols (such as Raft, Paxos) or eventual consistency models.

Consistency issues in cross-region data synchronization are typically addressed using the Paxos or Raft consensus protocols.

A longer progression curve increases immersion and a sense of achievement, but extended waiting and repetitive accumulation conflict with modern players' expectations for instant feedback, and this is a design challenge faced by similar games such as Dave the Diver, Raft, and Valheim.

Both Couple (later renamed Raft) and Between had amassed a considerable user base, but ultimately faced high churn rates due to unequal engagement between partners and changes in relationship status.

The couples app Couple was later renamed Raft.

Raft is easier to understand in engineering implementation compared to Paxos and already has a mature open-source ecosystem such as etcd and TiKV.

In a Quorum cluster of 2f+1 nodes, an operation can be committed as long as f+1 nodes acknowledge it, and the system can tolerate f simultaneous node failures.

Raft was proposed by Diego Ongaro in 2014 with understandability as a design goal, decomposing the consensus process into three sub-problems: leader election, log replication, and safety.

Modern systems such as etcd and CockroachDB both use the Raft algorithm.

Failover relies on two core mechanisms: shared state and health checking, with shared state typically implemented via distributed databases or consensus protocols such as Raft

Raft is a consensus algorithm that is easier to understand than Paxos.