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Slideshow transcript
Slide 1: Scaling Twitter Alex & Britt (from Twitter)
Slide 2: Preconceived notions.
Slide 3: The story.
Slide 4: So, what happened?
Slide 5: What we did.
Slide 6: More boxes. Not so many then. But now... ‣ Mongrels across 19 cores. ‣ Message processing/delivery across 16 cores. ‣ Jabber across 2 cores. ‣ MySQL on one big 8 core box. ‣ 16GB+ for memcache across a bunch of ‣ machines. ‣ 32 cores total.
Slide 7: That’s a lot.
Slide 8: Why? 200 - 300 connections per second. ‣ Spiking at 800 connections per second. ‣ We’ve done 11,000 connections per second. ‣ MySQL has spiked to 2,400 queries per second. ‣ Alexa says we have a whole mess o’ traffic, and ‣ they’re not even seeing the API traffic.
Slide 9: memcache.
Slide 10: memcache.
Slide 11: memcache.
Slide 12: Cache the hell out of everything.
Slide 13: Denormalize.
Slide 14: find(:all, :conditions => \"substring( truncate(id,0),-2,1) = #{@fugly_dist_idx}\", :limit => 10)
Slide 15: Starling.
Slide 16: Community.
Slide 17: YOU CAN HAS QUESTIONS
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