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It depends how much time is spent doing computation and how much time is spent doing lookups from disk. If the latter is clearly dominating, then a switch to Go will not help much.



thanks for the insight. i did not have much to do with Go. But hear a lot of positive benchmarks here on HN. Reddit is kind of like an example social web app, and I read a lot on its architectural changes and scaling efforts. So for social Web 2.0 apps, which are getting older now, I m curious how much Go would make a difference. Mainly for Google applications, apparently Go brings a lot of speed and performance on the same server.


It doesn't really matter what the genre of an application is. What matters is the runtime fundamentals. How much time is spent computing vs waiting for I/O? Whichever one is slower is the current bottleneck and is what you should fret about. Go becomes something to consider if the bottleneck is computation time. It's tangential otherwise.


I read a comment from one of the sysadmins (alienth?) saying their main bottlenecks were I/O.


With all of Reddit's past problems with AWS and EBS (https://news.ycombinator.com/item?id=2339214, https://news.ycombinator.com/item?id=2469838, ), I figured they would haved jumped to Google Compute Engine by now, which has much better IO all around (http://gigaom.com/2013/03/15/by-the-numbers-how-google-compu...).




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