Raft Consensus Algorithm | System Design | High Level Design

Welcome to a concise guide on the Raft Consensus Algorithm in system design! Join me as I explore this fundamental algorithm for achieving distributed consensus.

What is the Raft Consensus Algorithm?
Raft is a consensus algorithm designed to manage a replicated log in distributed systems. It ensures that multiple nodes in a distributed system agree on a consistent state, even in the presence of failures. Raft is designed to be understandable and provides a clear and simple method for achieving consensus.

How Raft Works
Leader Election: Raft uses a leader-based approach where one node is elected as the leader, and the others are followers. The leader manages log replication and handles client requests.
Log Replication: The leader receives log entries from clients and replicates them to the followers. Followers append these entries to their logs.
Commitment: Once the leader ensures that a majority of followers have replicated an entry, it marks the entry as committed and notifies the followers.
Consistency: All nodes apply committed entries to their state machines in the same order, ensuring consistency across the system.

Benefits of Raft
Understandability: Raft is designed to be easier to understand and implement than other consensus algorithms like Paxos.
Reliability: Ensures consistency and fault tolerance in distributed systems, even if some nodes fail.
Simplicity: Provides clear rules for leader election, log replication, and commitment, making it straightforward to reason about.

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