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 -- -- To post, send email to [email protected]. To unsubscribe, send email to [email protected]. For more information, visit https://groups.google.com/d/forum/archesproject?hl=en --- You received this message because you are subscribed to the Google Groups "Arches Project" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
