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THE VIDEO SHELF · paxos consensus

Paxos lecture (Raft user study)

John Ousterhout's slides-and-voiceover lecture on Paxos, made for the Raft user study comparing how students learn Raft and Paxos. It is a full introduction to the Paxos consensus algorithm.

Why HN readers recommended it

Recommended as a clear, lucid way to learn Paxos and Multi-Paxos, ideally alongside the companion Raft video.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
Diego Ongaro
Topic
paxos consensus
Format
lecture
Level
intermediate
HN recommenders in dataset
6
HN mentions in dataset
7
Recommendation years in dataset
2013–2024

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • One of the most lucid explanations of the Raft Consensus Algorithm that I've ever seen is the one in John Ousterhout and Diego Ongaro's Raft User Study[0]. The 2 videos do an excellent job of explaining both the Paxos and Raft algorithms and the key …

    krat0sprakhar on Hacker News · 2014-10
    In The Raft Consensus Algorithm
  • I recently took a Distributed Systems course, and I also thought it was very interesting and unexpected how in the most basic form of Paxos, there is no concept of node roles or hierarchy like leader/follower, master/replica, etc. The base case is that all nodes …

    cljacoby on Hacker News · 2024-02
    In The leadership myth in replicated databases (2023)
  • one other thing to keep in mind is that the underlying algorithms (zab and raft) provide different guarantees. for example, zookeeper/zab allows reading directly from followers with a guarantee to get at least a past value that won't be rolled back. this was one reason …

    tomjohnson3 on Hacker News · 2013-09
    In ZooKeeper vs. Doozer vs. Etcd

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.