The Raft consensus algorithm, designed for distributed systems, can continue to operate even if a minority of its nodes are unavailable. This means that if a system has, for example, 5 nodes, it can still function if up to 2 nodes are offline.
This capability is a feature of how Raft ensures agreement among nodes. The algorithm requires a majority of nodes to be available to commit new entries or make progress. However, the analysis suggests that the system can remain operational and accept new leadership proposals even with fewer than a majority of nodes participating, as long as the remaining nodes can form a quorum.
Understanding these operational boundaries is crucial for designing and managing distributed systems. The ability to tolerate a certain level of node failure without complete service interruption is a key consideration for system availability and fault tolerance.
