4 HN users recommended this talk4 months2019–2020score 4.5
Years with an HN recommendation, 2007–2026
HN recommends it as an illuminating, approachable explanation of distributed consensus.
Heidi Howard's Reactive Summit 2018 talk on generalizing Paxos by weakening its original requirements. She shows Paxos is one point on a broad spectrum of consensus approaches.
“Heidi Howard is incredible and her work on distributed consensus is illuminating.” (HN, 2020)
Heidi Howard is incredible and her work on distributed consensus is illuminating. I think she has actually successfully cracked the cookie of "making consensus easy". [this video]
Check out Heidi Howard's work for some nice generalisations and variations of Paxos. Her approach using immutable state makes things more tractable. [link] [this video]
Heidi Howard's generalisations of Paxos using immutable state.
Tbh I think you got it backwards. CALM is actually very much about eventual consistency. The gist is basically, that distributed systems are only eventually consistent iff they are logically monotonic. Coordination as used in this article basically means "needs to be decided by an authority". But because of CALM we know that in order to elect an authority/leader, you need a consensus algorithm that actually has monotonicity at it's core, like raft. There's a really great talk on this by Heidi Howard: [this video] I actually don't think that database isolation levels are a good way to talk about this stuff, because they are practical guarantees, not theoretical ones. Snapshot isolation for example also requires a leader. From a theoretical point of view there is no in between (at least none that I can see), either you are eventually consistent or you're not, either you are monotonic or you're not.
Talk connecting CALM, monotonicity and consensus algorithms.
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