How Uber Manages a Million Writes Per Second Using Mesos and Cassandra Across Multiple Datacenters - High Scalability -
If you are Uber and you need to store the location data that is sent out every 30 seconds by both driver and rider apps, what do you do? That’s a lot of real-time data that needs to be used in real-time. Uber’s solution is comprehensive. They built their own system that runs Cassandra on top of Mesos. It’s all explained in a good talk by Abhishek Verma, Software Engineer at Uber: Cassandra on Meso
Gone Fishin': Tumblr Architecture - 15 Billion Page Views A Month And Harder To Scale Than Twitter - High Scalability -
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
YouPorn - Targeting 200 Million Views a Day and Beyond - High Scalability -
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. 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
Tumblr Architecture - 15 Billion Page Views a Month and Harder to Scale than Twitter - High Scalability -
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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Stuff The Internet Says On Scalability For June 15, 2012 - High Scalability -
