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7 Years Of YouTube Scalability Lessons In 30 Minutes

highscalability.com

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Re: 7 Years Of YouTube Scalability Lessons In 30 Minutes

#4

I love the part on faking data. I take the viewpoint that only software testers care that the comment count is exactly correct in the majority of system. Users don't care.

I always thought it was a bug that view counts on YouTube varied depending on what page you saw them on. It can be different on the video view page, the channel page, and in your dashboard.

Turns out they're just making that shit up.

Re: 7 Years Of YouTube Scalability Lessons In 30 Minutes

#5
I fully agree with Youtube faking data. However, I reckon they are faking a bit too much. Many times I would see 2000 likes and the video having 1700 views (Viral videos that is).

I knew the view counter wasn't propagated but the likes were and I was like: "Damn this is Youtube, kinda disappointing..."

I guess if both were propagated at the same time I wouldn't mind.

Re: 7 Years Of YouTube Scalability Lessons In 30 Minutes

#6
The first 10 minutes are about monetization from one of the Youtube dev advocates. Skip to 9:45 to get to the "good stuff".

As an aside, this fellow is probably one of the best presenters I've seen from the pycon videos for this year. Confident, smooth, not reading from a computer screen or sheet of paper, clearly smart and in firm command of the subject matter.

I'd love to see more talks from him.

Re: 7 Years Of YouTube Scalability Lessons In 30 Minutes

#8
post #3

What's this? Python? Apache? MySQL? But I thought you had to be running beta-release key value stores, esoteric web servers, and experimental programming languages if you wanted to scale! /s

Got your experimental programming language:

> Vitess - a new project released by YouTube, written in Go, it’s a frontend to MySQL. It does a lot of optimization on the fly, it rewrites queries and acts as a proxy. Currently it serves every YouTube database request. It’s RPC based.

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