Consensus algorithms

In [distributed software], [nodes] need to work together to maintain a [consistent] state. However, due to the inherent challenges of distributed software systems – such as network [latency], node [failures], and [asynchrony] – it is difficult to achieve [consensus] on the state of the system.

Consensus algorithms address these challenges by ensuring that all participating nodes agree on some state or sequence of events, even when some nodes might fail or act maliciously.

Popular consensus algorithms

Paxos: Paxos works by electing a leader that proposes a value, which is then accepted by a majority of the nodes.
Raft: Raft works by designating one node as the leader to manage log replication, and ensure consistency across the cluster.