Hi Steven,
There are a couple of threads that discuss this very question.  I think
when we came up with this spec we were being very generous.  As you can see
from the threads below, only 1GB of memory is needed for a running system
(loading the data is another story).  As for as disk space requirements go,
10GB was allowing for significant headroom.

https://groups.google.com/forum/#!searchin/archesproject/aws$20instance$20size/archesproject/stAP_egXcZk/ZGhovyaIDwAJ
https://groups.google.com/forum/#!searchin/archesproject/aws$20instance$20size/archesproject/YTNaD5IPPzY/jZih2Op_CQAJ

Cheers,
Alexei


Director of Web Development - Farallon Geographics, Inc. - 971.227.3173

On Wed, May 18, 2016 at 1:00 AM, Steven Jones <
[email protected]> wrote:

> Hi,
>
> We're evaluating whether to use Arches on a project that at the moment
> won't be storing a huge amount of data at all, probably < 100,000 entities
> total.
> I've done a lot of web stuff and random projects here and there but
> nothing really too deep into linked data.
>
> In the Technical specifications section of
> http://archesproject.org/implementation-considerations/ 8GB of RAM is
> listed as a production environment.
>
> 8GB seems like quite a lot, I was just wondering if it's possible to
> quantify what uses the RAM in the application?
> As far as I can tell Arches has three main components:
>
>
>    1. Django frontend
>    2. Postgres DB
>    3. Elasticsearch
>
> Are they equally resource hungry when being used for Arches, or is there a
> specific component that requires much RAM?
>
> That same documentation section says that 10GB is required for the
> supplied test dataset, but I don't recall downloading anything like 10GB of
> data. Is it when the data is denormalized into Postgres or ElasticSearch
> that the memory usage balloons?
>
>
> Regards
> Steven Jones
>
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