Reseaux. MSN Live. Search. Big Data. API. Documents - Lecteur. Java and Tomcat on Mac OS X, Part I. Extreme Agility at Facebook. By E.
Michael Maximilien November 11, 2009 Comments (4) The Facebook social utility is phenomenally successful. As of summer 2009, the site attracted around 300 million visitors per month. It is well noted that if Facebook was a nation it would be ranked in the top five most populous states; and the growth seems to be accelerating! In a nutshell Facebook has simply changed the way everyday individuals (worldwide) conduct their social lives. Robert Johnson (pictured on photo), director of engineering at Facebook was the last keynote at OOPSLA 2009.
Facebook’s architecture is based on typical hierarchical PHP Web application model with a layer of data caching and extracted services components. To support their extreme scale needs, the various service components use an homegrown, now Apache open source, RPC mechanism called Thrift. Perhaps the most interesting and revealing aspect of Robert’s talk was the discussion of Facebook’s somewhat unique development process. Ronald Woan. 11 Strategies to Rock You. This is a guest posting by Marty Abbott and Michael Fisher, authors of The Art of Scalability.
I'm still reading their book and will have an interview with them a little later. If 2010 is the year that you’ve decided to kickoff your startup or if you’ve already got something off the ground and are expecting double or triple digit growth, this list is for you. We all want the attention of users to achieve viral growth but as many can attest, too much attention can bring a startup to its knees. If you’ve used Twitter for any amount of time you’re sure to have seen the “Fail Whale”, which is so often seen that it has its own fan club. Take a look at the graph below from Compete.com showing Twitter’s unique visitors. What should you do if you want your startup to scale with double and triple digit growth? 1) Scale Out – Not Up This one shouldn’t come as a surprise to anyone. 2) Use Databases Appropriately 3) Soar Through the Clouds 4) Goldfish not Thoroughbreds 5) Simplify, Simplify, Simplify.
Other startup architectures. Structured diff. Debug. SEO. Creative SEO. Java. Prod. NFS. Theory. Linux. Hot Scalability Links for. Latency is Everywhere and. Update 8: The Cost of Latency by James Hamilton.
James summarizing some latency info from Steve Souder, Greg Linden, and Marissa Mayer. Speed [is] an undervalued and under-discussed asset on the web. Update 7: How do you know when you need more memcache servers?. Dathan Pattishall talks about using memcache not to scale, but to reduce latency and reduce I/O spikes, and how to use stats to know when more servers are needed.Update 6: Stock Traders Find Speed Pays, in Milliseconds. Goldman Sachs is making record profits off a 500 millisecond trading advantage. Latency matters. The Amazon results were reported by Greg Linden in his presentation Make Data Useful. The less interactive a site becomes the more likely users are to click away and do something else. I wondered if latency went to zero if sales would be infinite? How do we recover that which is most meaningful--sales--and build low-latency systems? I'm excited that the topic of latency came up.
CNS - News. CNS 2009 Lecture Series Archives Please note that archival web casts may not upload due to security parameters in place.
Please contact your technical support to make sure Windows Media Player is an allowable access. CNS Lecture Series - Friday, December 11, 2009 Click here for web cast. Abstract: I'll describe PNUTS, a system we have built at Yahoo! Bio: I am a research scientist at Yahoo! CNS Lecture Series - Thursday, November 12, 2009 Abstract: As cloud services grow to span more and more globally distributed datacenters, there is an increasingly urgent need for automated mechanisms to place application data across these datacenters. Biography: Sharad Agarwal is a researcher in the Networking Research Group at Microsoft Research. CNS Lecture Series - Friday, November 6, 2009 Click Here for Power Point Presentation.
Mail. Investigation. Blaze DS. Fetch. Scrapping. Stats. Bad frame. Database.