Originally posted by pejakm
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Gatling: High-Performance Open-Source Server
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Lol, My sincerest apologies. I just received some numbers and it appears that we might have been trolled by a press release..
We can all pass GO and collect $200 and not give Gatling another thought.
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EDIT: Realized I was being unfair to Michael, as he is not an SA.Last edited by russofris; 23 July 2012, 12:01 PM.
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Originally posted by curaga View PostCache. That 2mb binary will barely fit in L2, but many cpus have 64 or 128kb of L1 already. Having the entire binary in L1 code cache surely has an effect.
Again, I'm looking for a use case where these servers fit. I might be willing to concede on a web-statics profile, but am calling Gatling (and supporters) out on the RPS figures they give. What are the RPS when you're actually serving something useful? How does that compare to Apache's httpd? Does it outweigh the loss of functionality? Does it outweigh the support overhead of a heterogeneous http tier?
I'm surprised that they're not pimping the latency benefits over RPS hokum.
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@Size - Arbitrary for x86, becoming arbitrary for SOC. I'm not certain what the benefit of "smaller" is other than "being smaller", which isn't typically a limitation on X86. Apache is pretty small at about 2MB for a stripped down binary.
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Originally posted by chithanh View PostGatling has a totally different use case from Apache. No amount of compile-time options will make Apache into a 125k static x86 binary. As it says on the homepage, gatling was developed to sustain the Slashdot effect and similar flash crowd events.
@Slashdot: When a site is slashdot'ed, Apache is rarely the tier that tips over. It's typically the middleware tier or DB tier, manifested as a 500 to the user. I see magical numbers being put out there like "15000 requests per second". I do not believe that this occurs in any real-world setting, with the exception of DDOS style attacks.
I could see size being a factor for SOC embedded implementations of the pre-flash era, or on home brew flash based routers, but x86? Seriously? I can see RPS being an issue if you have an optimized cluster serving web-statics to users, but the statics would need to be very small for > 10000 to occur (hello world).
Does anyone here run a stack that exceeds 1000 RPS, or 50 TPS? To put things in perspective, a Tier 2 network operator (ATT, Verizon, Sprint) rarely exceeds 50 TPS, which is about 500-2000 RPS on the front end depending on the workflow. I don't believe that the Apple store exceeds 50TPS.
Still confused, as I am unable to reconcile the numbers with any plausible real-world scenario. A go-kart is small and fast, but I have yet to see a scenario where it would be a good fit.
I'll drop my friends at Amazon an e-mail to see what their numbers look like.
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Originally posted by russofris View PostI'm really curious as to why this even necessitated an article. What does Gatling have that Apache httpd does not offer, or can not be achieved with simple compile time options? While a book can be written on the reverse perspective, I've always wondered what makes all of these lightweight httpd servers attractive.
Originally posted by curaga View PostDefaults, IIRC. ./configure
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I'm really curious as to why this even necessitated an article. What does Gatling have that Apache httpd does not offer, or can not be achieved with simple compile time options? While a book can be written on the reverse perspective, I've always wondered what makes all of these lightweight httpd servers attractive.
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Thanks to the fact that gatling does not attempt to support dynamic content, there needs not be any fast-paced development.
The Monkey benchmarks are of limited value, as the exact build parameters for nginx are not known. Normally you build a monolithic binary with exactly the features you want.
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Originally posted by waucka View PostI have to wonder how many potential contributors
Code:~/gatling (cvs)-[gatling] % cvs log | grep author | grep leitner -c 980 ~/gatling (cvs)-[gatling] % cvs log | grep author | grep -v leitner -c 5
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