Bindings, Platforms, and Innovation
This presentation focuses on the Internet and separating myth from fact, history from the future, and the mundane from the imaginative. Bob Frankston presents a vision of what could and should be.
Tracking change and innovation in the enterprise software development community
Posted by Sebastien Auvray on Aug 26, 2007 03:49 PM
There have been long debates on Rails performance. Rails can really slow down when your application deals with a lot of File exchange or concurrent connections. That is what Merb has been designed for. Ezra Zygmuntowicz, from Engine Yard, started working on Merb (Mongrel+Erb) 10 months ago and gave a presentation this month about it at Ruby Hoedown. Ezra originally tried to optimize Rails to make it more threadsafe, but at the end it was easier to make a new framework than trying to change ActionPack, (the View and Controller parts of Rails).Using Evented Mongrels with Merb gives you the best bang for the buck overall when high concurrency is expected [...] be sure you understand your application's usage patterns and not over-engineer your solution. In most cases, running Rails with a standard Mongrel cluster may be just fine for you.
Usage Landscape: Enterprise Open Source Data Integration
Effective Management of Static Analysis Vulnerabilities and Defects
I don't think a 5-20% speed increase is compelling, personally. Mind you, if Rails continues to get slower with each new release, it could become compelling. And, hey, competition is always good, so I'm glad I have a choice at least. :)
The Merb v0.4 link (http://merbivore.com/) gives me a 404 error.
Hi Kevin, Indeed it seems to be down at the moment. You can still find a mirror at http://merb.rubyforge.org/files/README.html Regards, Sébastien.
It's about more than just speed. It's also about handling more traffic with fewer Mongrels and less memory. Merb lets Mongrel do more of the work and can spin off threads when needed to handle additional requests.
Just kind of throwing this out, but... The same benchmark, running through Swiftiply to 2 backend processes, on an AMD dual core Athlon 4200+ (so, a little bit faster than the test machine for Phil Misiowiec's benchmarks), with IOWA: Concurrency of 10: 1076/second Concurrency of 100: 995/second
Geoffrey, that's a good point. Are there any memory profiling statistics out there? I'd like to see that.
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