Hi rkurn,

Thank you for reply. You are right. keep-alive makes the difference. I 
updated in google spreadshit.

On Wednesday, October 5, 2016 at 8:47:54 AM UTC+3, rkuhn wrote:
>
> Hi Olga,
>
> establishing a connection is a very expensive operation, which is why all 
> modern clients/browsers reuse them for multiple requests. The ab tool needs 
> the -k switch to enable this behavior.
>
> Regards, Roland 
>
> Sent from my iPhone
>
> On 5 Oct 2016, at 01:32, Olga Gorun <[email protected] <javascript:>> 
> wrote:
>
>
> I tried to repeat this benchmark and would be glad to see comments to 
> results I got.  
> Tested porjects: gists from original post with the following versions: 
>
> akka-http, 2.4.11 vs spray, 1.3.1 (akka - 2.3.6). In both cases scala 
> 2.11.8, jvm 8.
>
> The tests were done on AWS machine of c4.2xlarge type (8 cores CPU, 16GB 
> memory, ulimit - 500000). As I can see from jvm and system monitoring, it 
> is far from being limited by CPU, memory, disk IO or networking. OS: Ubuntu 
> 14.04
>
> See results at: 
> https://docs.google.com/spreadsheets/d/1yuFD7WDOzhWB5_Ob7XgAfFAdWt48SrthbvZSZ45GE-k/edit?usp=sharing
>
> Starting from the fact that my results are different (spray gives better 
> results than akka-http). In addition I see interesting effects when I use 
> different benchmark tools. I also started from wrk, but in addition to 
> throughput I wanted to see failures if exist, and latency percentiles, so I 
> added  tests with weighttp and ab. 
>
> Throughput reported by ab is much different than the rest and shows 
> drastic difference between akka-http and spray. Reported latency also don't 
> have much in common. I can think that ab (as a single-threaded tool) can be 
> bottleneck itself. But how to explain such a difference in throughput for 
> akka-htttp and spray? And how to explain difference in reported latency.
>
> Regards,
> Olga Gorun
>
>
>
>    
>
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