I've tried and it's not an easy task because of my Win into Vagrant into Docker setup. I'll try again soon when I get a Linux box!
On Fri, Aug 19, 2016 at 5:54 PM, Vasily <[email protected]> wrote: > Umm, no. VTune has Python support starting 2017 Beta, and, well, it was my > team (at Intel) work actually :-) > > P.S. I'm from Intel, too. > > Thanks, > Vasily > 19 авг. 2016 г. 18:17 пользователь "Francesco Di Mizio" < > [email protected]> написал: > > I had thought you were making fun of Intel somehow ;) >> >> On Aug 19, 2016 5:07 PM, "Pierre Tardy" <[email protected]> wrote: >> >> ahah >> >> I though this was a taunt on me being employed by Intel. >> I actually had mitigated experience with vtune few years ago, and didn't >> know they had python support until then. >> Being an opensource guy, I usually neglegate to look at proprietary stuff. >> >> Pierre >> >> Le ven. 19 août 2016 à 12:18, Vasily <[email protected]> a écrit : >> >>> I'm again suggesting to look into Python profiling capabilities of >>> Intel® VTune™ Amplifier. It could run statistical profiling for a long time >>> and display CPU usage over time, so the developer can look at specific time >>> range where CPU usage was too high and see which functions were executed. >>> >>> Thanks, >>> Vasily >>> 19 авг. 2016 г. 11:57 пользователь "Pierre Tardy" <[email protected]> >>> написал: >>> >>> Hi Francesco, >>>> >>>> Your described setup looks sane to me. >>>> >>>> The problems we are trying to catch are cpu spikes, as far as I >>>> understand, which does not happen for very long, but are very annoying for >>>> users, as it is blocking the reactor. >>>> >>>> This problem is not easy to see in the profile you sent, as this >>>> profile is over long time, so we see the average of each method during the >>>> day and not the spikes. >>>> >>>> What would really be needed is a on-demand profiler which would detect >>>> cpu spikes and only log the stack traces during those times. >>>> >>>> Here is a nice blog pst explaining why statistic profiling is cool and >>>> easy to implement in python. >>>> https://nylas.com/blog/performance >>>> >>>> For 0.9.1 I want to concentrate on scalability, and write a debugging >>>> ui plugin based on those ideas (and probably code) >>>> >>>> That would be great if your team can help on that matter. >>>> >>>> Regards, >>>> Pierre >>>> >>> >>
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