Intermediate Topic 24 of 51 Distributed Systems & Cloud
Leader Election
Choosing one coordinator among nodes.
How it works
Leader election chooses one node among a group to act as coordinator for a task, such as handling writes, so the others follow it. Algorithms include the bully algorithm, where the highest-ID live node wins, ring-based election, consensus-based election as in Raft and Paxos, and lease-based election using a coordination service such as ZooKeeper or etcd, where the leader holds a lease it must renew. When the leader fails, a new one is elected, and fencing tokens prevent an old leader from acting.
Where it is used
Primary selection in databases, cluster managers, schedulers, distributed locks and sharded services use leader election to avoid conflicting actions.
Common pitfall
Split brain, where two nodes both believe they are leader due to partitions or pauses, is the main danger, causing conflicting writes. Long garbage collection pauses can make a leader miss lease renewals and then act after losing leadership. Use fencing tokens, majority quorums, short leases with clock-drift margins and make leader actions idempotent.
Where it fits in the course
Leader Election is topic 24 of 51 in Distributed Systems & Cloud, rated Intermediate. It follows Raft. The next topic is Two-Phase Commit.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Distributed Systems & Cloud quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Distributed Systems & Cloud quiz, and revisit the topic if you miss a question.
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Related topics
- Raft (Distributed Systems & Cloud)
- Two-Phase Commit (Distributed Systems & Cloud)
- Paxos (Distributed Systems & Cloud)
- Saga Pattern (Distributed Systems & Cloud)