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This article explains the Raft consensus algorithm, which helps multiple servers maintain consistency in distributed systems. It covers how Raft elects leaders and replicates logs to ensure that all servers produce the same outputs, even in the event of failures.
This article introduces a new framework for understanding consensus algorithms, focusing on distributed durability and high availability. It critiques traditional methods like Paxos and Raft, proposing flexible durability policies and goal-oriented rules that adapt to modern cloud environments.