> Am 26.06.2018 um 15:41 schrieb Sven Van Caekenberghe <s...@stfx.eu>:
> 
> 
> 
>> On 26 Jun 2018, at 15:24, Norbert Hartl <norb...@hartl.name> wrote:
>> 
>> 
>> 
>>> Am 26.06.2018 um 14:52 schrieb Andrei Stebakov <lisper...@gmail.com>:
>>> 
>>> Does anyone use Pharo for Miro services? I heard about Seaside and Teapot, 
>>> just was wondering if Pharo can handle multiple simultaneous requests and 
>>> if it can, where it reaches the limit.
>> 
>> I use it extensively. I use Zinc-REST package to offer services. The answer 
>> how much it can handle in parallel is hard to answer. For this you need to 
>> tell what you are about to do. But a rule of thumb is not to exceed 5 
>> parallel tasks that are working at the same time. But a lot of tasks have 
>> wait times while accessing another HTTP service, a database, a filesystem 
>> etc. For this you can easily go up to 10 I guess. 
>> 
>> But these numbers are more of a gut feeling then something scientific
>> 
>> Norbert
> 
> A single ZnServer instance on a single image can handle thousands of requests 
> per seconds (local network, very small payload, low concurrency). On a modern 
> multi core / multi processor machine with lots of memory you can 10s if not 
> 100s of Pharo image under a load balancer, provided you either do not share 
> state or use high performance state sharing technology - this is the whole 
> point of REST.
> 
> Of course, larger payloads, more complex operations, real world networking, 
> etc will slow you down. And it is very easy to make some architectural or 
> implementation error somewhere that makes everything slow. As they say, YMMV.
> 

I meant it regarding what a single image can do. And it can do thousands of 
requests only if there is no I/O involved and I doubt this will be a very 
useful service to build if it does not any additional I/O. Still I would try 
not to have more than 5 req/s on a single image before scaling up. The only 
number I can report is that 2 images serving 30 requests/s while using mongodb 
are not noticable in system stats.

Norbert

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