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I have a django application that uses a lot of geo-referenced data, because of the large number of fairly heavy libraries we use (looking at you numpy and GDAL) we find a lot of the requests tend to deal with large amounts of data in a database, but don’t overly stress the CPU. We often get to memory limits and would like to be able to scale up containers, and therefore workers when a certain RAM load is reached. I know this is possible in kubernetes, but can’t find the option in the the app platform abstraction.
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