aurora <[EMAIL PROTECTED]> writes: > Slow compares to what? For a large commerical site with bigger budget, > better infrastructure, better implementation, it is not surprising > that they come out ahead compares to hobbyist sites.
Hmm, as mentioned, I'm not sure what the commercial sites do that's different. I take the view that the free software world is capable of anything that the commercial world is capable of, so I'm not awed just because a site is commercial. And sites like Slashdot have pretty big budgets by hobbyist standards. > Putting implementation aside, is LAMP inherently performing worst than > commerical alternatives like IIS, ColdFusion, Sun ONE or DB2? Sounds > like that's your perposition. I wouldn't say that. I don't think Apache is a bottleneck compared with other web servers. Similarly I don't see an inherent reason for Python (or whatever) to be seriously slower than Java servlets. I have heard that MySQL doesn't handle concurrent updates nearly as well as DB2 or Oracle, or for that matter PostgreSQL, so I wonder if busier LAMP sites might benefit from switching to PostgreSQL (LAMP => LAPP?). > I don't know if there is any number to support this perposition. Note > that many largest site have open source components in them. Google, > Amazon, Yahoo all run on unix variants. Ebay is the notable > exception, which uses IIS. Can you really say ebay is performing > better that amazon (or vice versa)? I don't know how much the OS matters. I don't know how much the web server matters. My suspicion is that the big resource sink is the SQL server. But I'm wondering what people more experienced than I am say about this. Google certainly doesn't use SQL for its web search index. > I think the chief factor that a site performing poorly is in the > implementation. It is really easy to throw big money into expensive > software and hardware and come out with a performance dog. Google's > infrastructure relies on a large distributed network of commodity > hardware, not a few expensive boxes. LAMP based infrastructure, if > used right, can support the most demanding applications. Google sure doesn't use LAMP! I've heard that when you enter a Google query, about sixty different computers work on it. The search index is distributed all over the place and they use a supercomputer-like interconnect strategy (but based on commodity ethernet switches) to move stuff around between the processors. -- http://mail.python.org/mailman/listinfo/python-list
