⚡ One HLD concept. 60 seconds. Interview ready· 1 of 9
Log replication ensures data consistency by requiring majority acknowledgment before committing changes.
⚡ One HLD concept. 60 seconds. Interview ready· 2 of 9
Bully, Raft, and ZooKeeper are distinct algorithms for leader election in distributed systems.
⚡ One HLD concept. 60 seconds. Interview ready· 3 of 9
Consensus ensures that distributed systems can agree on decisions even during failures.
⚡ One HLD concept. 60 seconds. Interview ready· 4 of 9
Raft consensus helps distributed systems elect leaders and replicate logs reliably.
⚡ One HLD concept. 60 seconds. Interview ready· 5 of 9
matchIndex tracks what each follower has, while commitIndex shows what is committed.
⚡ One HLD concept. 60 seconds. Interview ready· 6 of 9
Raft handles leader failure by allowing followers to elect a new leader through voting.
⚡ One HLD concept. 60 seconds. Interview ready· 7 of 9
Raft's safety rules guarantee that committed entries are preserved even after leader failures.
⚡ One HLD concept. 60 seconds. Interview ready· 8 of 9
Quorum and majority help distributed systems maintain data consistency and availability.
⚡ One HLD concept. 60 seconds. Interview ready· 9 of 9
Raft and Paxos are protocols that help computers agree on values in distributed systems.
🏁
Lock it in: take the quizzes, and SnapGyan will bring each topic back right before you’d forget it.
