Raft Distributed Consensus Protocol

Overview

The Raft distributed consensus protocol allows a collection of processes to maintain consistency even in the face of multiple node failure. The two main tenants of the protocol are leader election and log replication.

This visualization will lay out the problem of distributed consensus followed by a general overview of leader election and log replication. It will then follow up with details of Leader Election using best case (Single Candidate) and worst case (Split Vote) scenarios. Then it will show details of Log Replication using the best case (Network OK) and worst case (Network Partitions) scenarios. Finally, it will conclude with additional resources on where to learn more.

URL

http://thesecretlivesofdata.com/raft/

Frames

- [x] What is Distributed Consensus?
- [x] Overview
  - [x] States (Follower, Candidate, Leader)
- [x] Leader Election
  - [x] Election Timeout
  - [x] Candidacy
  - [x] Leadership & heartbeat timeout.
  - [x] Re-election
  - [x] Split Vote
- [ ] Log Replication
  - [X] Complex state machine example.
  - [X] Commitment rules
  - [X] Network Partitions
  - [X] Client reads.
- [X] Conclusion & Additional Resources

[angusng]

Great work! Very easy to understand. Keep up. Suggestion - An step back button/arrow will be great.

[philips]

Looks really great! But, I want arrow keys!