What are the limitations of the Raft consensus algorithm?
Raft has several limitations, including performance issues in large clusters, reliance on a leader, and potential for split-brain scenarios.
Can you explain how the leader election process works in Raft?
In Raft, a leader is elected through a voting process where nodes can become candidates and request votes from others.
What happens if the leader fails?
If the leader fails, the remaining nodes will initiate a new election to choose a new leader to maintain consensus.
Are there any scenarios where Raft performs poorly?
Yes, Raft can perform poorly in scenarios with high latency or when there are frequent leader changes, impacting throughput.
How does Raft compare to Paxos?
Raft is generally considered easier to understand and implement than Paxos, but both achieve consensus in distributed systems.
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