What do you do when you find a snake in your datacenter? You might say this. (NSFW) Fault tolerance is the property that enables a system to continue operating properly in the event of the failure of some of its components. You might think Facebook solved all of its fault
CDN
Operating at Facebook scale is far from trivial. With 1.49 billion monthly active users (and growing 13 percent yearly), every 60 seconds on Facebook 510 comments are posted, 293,000 statuses are updated, and 136,000 photos are uploaded. And there lies the challenge of serving the masses efficiently
Strategy
Facebook Timeline is audacious in scope. It wants to compile a complete scrollable version of your life story from photos, locations, videos, status updates, and everything you do. That could be many decades of data (hopefully) that must stored and made quickly available at any point in time. A huge
Strategy
How does Facebook handle the massive New Year's Eve traffic spike? Thanks to Mike Swift, in Facebook gets ready for New Year's Eve, we get a little insight as to their method for the madness, nothing really detailed, but still interesting. Problem Setup * Facebook expects tha
There’s some amount of debate whether Facebook really crossed over the one trillion page view per month threshold. While one report says it did, another respected firm says it did not; that its monthly page views are a mere 467 billion per month. In the big scheme of things,
analytics large database real time
Recently, I was reading Todd Hoff's write-up on FaceBook real time analytics system . As usual, Todd did an excellent job in summarizing this video from Engineering Manager at Facebook Alex Himel. In the first post, I’d like to summarize the case study, and consider some things that
Example
What should the architecture of your scalable, real-time, highly available service look like? There are as many options as there are developers, but if you are looking for a general template, this architecture as described by Prashant Malik, Facebook's lead for the Messages back end team, in Scaling
Example
Facebook did it again. They've built another system capable of doing something useful with ginormous streams of realtime data. Last time we saw Facebook release their New Real-Time Messaging System: HBase To Store 135+ Billion Messages A Month. This time it's a realtime analytics system handling
To celebrate the new year Facebook has shared the results of a little end of the year introspection. It has been a fecund year for Facebook: * 43,869,800 changed their status to single * 3,025,791 changed their status to "it's complicated" * 28,460,516
Example
You may have read somewhere that Facebook has introduced a new Social Inbox integrating email, IM, SMS, text messages, on-site Facebook messages. All-in-all they need to store over 135 billion messages a month. Where do they store all that stuff? Facebook's Kannan Muthukkaruppan gives the surprise answer in
Strategy
Facebook's Ryan Mack gave a MySQL Tech Talk where he talked about using what he called Non-stored Procedures for adding edges to Facebook's social graph. The question is: how can edges quickly be added to the social graph? The answer is ultimately one of deciding where
Strategy
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