You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
Instantly share code, notes, and snippets.
Ameen Khan
ameenkhan07
Software Engineer.
Master's in CS @ University at Buffalo.
Previously @innovaccer
(dominic: this list of papers was originally recommended to me by Brain Noguchi @bnoguchi, and was a great start to understanding distributed systems)
Here's a selection of papers that I think you would find helpful and interesting:
Time, Clocks, and the Ordering of Events in a Distributed System
The seminal paper about event ordering and concurrency. The important result is that events in a distributed system define a partially ordered set. The connection to what we're working on is fundamental, as this defines how to detect concurrent updates. Moreover, the chosen algorithm to turn the partially ordered set into a totally ordered set defines the conflict resolution algorithm.
I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.
I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't real