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Today we covered Consistent Hashing. Mostly from the system design perspective, although we did touch on the algorithmic ideas as well. Timekeys: 0:00 Intro 0:48 PSA 1:04 Consistent Hashing (CH) 1:31 Better not start from the ring 2:40 CH: System design aspects 9:00 CH: Algorithmic aspects 9:23 A toy example 11:37 Minimizing reassignment 12:08 Imagine there are five nodes ... 14:53 Primary / backup nodes as an example 18:42 Supporting node weights 20:58 Why "virtual nodes" are IMHO misleading 22:43 Viewing the hash space as continuous 26:42 The Ring as a probabilistic data structure 31:32 The Ring: problem statement 33:34 The Ring: solution 37:46 Pictures, courtesy of `finaldie` the Final Blog 39:56 The Ring implementation notes 43:10 Back to system design: Zero orchestration 46:16 Examining key assignment history 48:13 Distributed filesystem as an example 49:58 Q: Heartbeats and who receives them with no orchestrator? 52:35 Q: How to guarantee five nines of availability? 57:07 Q: Raft or Paxos? 1:00:59 Mutations and high read to write ratio 1:04:35 Sharding compute (CPU), not RAM/disk 1:06:20 Q: How do CH NoSQL-s ensure consistency? 1:12:11 Q: How to work around hot keys? 1:14:39 Trading more machines for lower latency / higher throughput 1:15:33 Bad apples 1:19:22 Q: Stronger consistency and data validation? 1:23:02 Different meanings of the word consistency 1:27:21 Recap on hot keys (covered in the question before) 1:28:08 Q: More fine-grained assignment based on The Ring That talk on DynamoDB by Rick Houlihan I keep referring to: • AWS re:Invent 2018: Amazon DynamoDB Deep D... Also, around 23:45, I should have referred to the "continuous hash space" as a "Cantorian ideal", not the Platonic one :-) Slides: https://tinyurl.com/sdm-consistenthas...