Mike Krieger, Instagram at The Airbnb Tech Talk, On Scaling Instagram on TechCrunch http://techcrunch.com/2012/04/12/how-to-scale-a-1-billion-startup-a-guide-from-instagram-co-founder-mike-krieger
If you started out building a dating site and instead ended up  building a video sharing site (YouTube) that handles 4 billion views a day, then itâs just possible you learned something along the way. And indeed, Mike Solomon, one of the original engineers at YouTube, did learn a lot and he has given a talk about it at PyCon: Scalability at YouTube. This isnât an architecture driven talk where we
This is a guest post by Siddharth Anand, a senior member of LinkedIn's Distributed Data Systems team. Over the past 3 years, I've had the good fortune to work with many emerging NoSQL products in the context of  supporting the needs of a high-traffic, customer facing web site. In 2010, I helped Netflix to successfully transition its web scale use-cases from Oracle to SimpleDB, AWS' hosted database
Update: Here's the video of the talk. Erick Pickup, lead developer at YouPorn.com, presented their architecture in a talk titled Building a Website To Scale given at the ConFoo conference. Â As you might expect, YouPorn is a beast, streaming three full DVDs of video every second, handing 300K queries every second, and generating up to 15GBs of log data per hour. Unfortunately, all we have are the s
With over 15 billion page views a month Tumblr has become an insanely popular blogging platform. Users may like Tumblr for its simplicity, its beauty, its strong focus on user experience, or its friendly and engaged community, but like it they do. Growing at over 30% a month has not been without challenges. Some reliability problems among them. It helps to realize that Tumblr operates at surprisin
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Facebook gave a MySQL Tech Talk where they talked about many things MySQL, but one of the more subtle and interesting points was their focus on controlling the variance of request response times and not just worrying about maximizing queries per second. But first the scalability porn. Facebook's OLTP performance numbers were as usual, quite dramatic: Query response times: 4ms reads, 5ms writes.Row
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« Scaling Memcached: 500,000+ Operations/Second with a Single-Socket UltraSPARC T2 | Main | Product: Hadoop » Film buffs will recognize Django as a classic 1966 spaghetti western that spawned hundreds of imitators. Web heads will certainly first think of Django as the classic Python based Web framework that has also spawned hundreds of imitators and has become the gold standard framework for the w
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