THE VIDEO SHELF · crdts
CRDTs and the Quest for Distributed Consistency
Martin Kleppmann's QCon London 2018 talk on keeping data consistent in distributed systems without a central leader. It surveys CRDT algorithms for syncing devices and collaborative editing over peer-to-peer networks.
Why HN readers recommended it
Strongly recommended as a clear, accessible survey of the CRDT landscape.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- InfoQ
- Topic
- crdts
- Format
- talk
- Level
- intermediate
- HN recommenders in dataset
- 3
- HN mentions in dataset
- 3
- Recommendation years in dataset
- 2018–2020
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.
Recently saw a fantastic intermediate talk on this subject called CRDTs and the Quest for Distributed Consistency[0]. One product of the research was automerge[1], a library for handling collaborative editing of JSON-like data models [0]: [VIDEO] [1]: [LINK]
hardwaresofton on Hacker News · 2018-10
In Lessons learned from creating a real-time collaborative rich-text editorI think the original statement is defensible. Many of the original OT papers proposed algorithms that have since been shown not to converge in particular cases (especially the TP2 puzzle). It took a while for the fog to clear, in part because TP2 requires concurrent …
raphlinus on Hacker News · 2019-06
In Creating a Collaborative EditorRecently going through this book. I highly recommend it, and any videos by the author, Martin Kleppmann I especially like this one: > CRDTs and the quest for distributed consistency [VIDEO]
syspec on Hacker News · 2020-07
In Summary: Designing Data-Intensive Applications by Martin Kleppmann
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.

