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Tom notes that if you have a small site that can be served by one box, any stack will do. If you have a medium site that needs hundreds of requests per second, go with what your team knows best. But beyond that, once you get the hundreds of thousands of queries per second, everyone builds a custom solution.
Oui, mais c'est tellement plus drôle de jouer les prophètes sur la fin des bases relationelles !
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tracking Aptimize for about a year since they contacted me about their Website Accelerator. I was psyched to have them present at and sponsor Velocity. Website Accelerator changes web pages in real time and injects many of the performance best practices from my books, plus some others that aren’t in my books. It’s a server-side module that runs on Microsoft Sharepoint, ASP.NET, and Linux/Apache.
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in this article, i outline a step-by-step process for incrementally scaling your deployment, from a simple single-node drupal install running all components of the system, all the way to a load balanced, multi node system with database level optimization and clustering. since you almost certainly don't want to jump straight from your single node system to the mother of all redundant clustered systems in one step, i've broken this down into 5 incremental steps, each one building on the last. each step along the way is a perfectly viable deployment.
Obtaining Optimal Performance From Drupal And The LAMP Stack
Freebase.com is powered by a tuple store called graphd. Graphd is a C/Unix server which processes commands in a simple template-based query language.
linked articles are also interesting
there are many things that you can do to improve your drupal application's scalability, some of which we discussed in the recent scaling drupal - an open-source infrastructure for high-traffic drupal sites article.
LASVM is an approximate SVM solver that uses online approximation. It reaches accuracies similar to that of a real SVM after performing a single sequential pass through the training examples. Further benefits can be achieved using selective sampling techniques to choose which example should be considered next. As show in the graph, LASVM requires considerably less memory than a regular SVM solver. This becomes a considerable speed advantage for large training sets. In fact LASVM has been used to train a 10 class SVM classifier with 8 million examples on a single processor.
With the recent brouhaha over Twitter’s scalability problems, I thought, wouldn’t it be fun to write a Twitter clone in Erlang?
Last weekend was cold and rainy here in Palo Alto, so I sat down and hacked one, and thus Twoorl was born. It took me one full day plus a couple of evenings. The codebase is about 1700 lines (including comments).
Twitter is dead, long live to Twoorl. The code is open source.
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Thrift is a software framework for scalable cross-language services development. It combines a powerful software stack with a code generation engine to build services that work efficiently and seamlessly between C++, Java, Python, PHP, and Ruby.
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don't waste time writing code to restrict people
after the video that was great the slide on how YouTube scaled. Interesting as always.