We're running Mango on embedded machines with 1 Gig of RAM and 16 Gigs of storage. I wonder if someone more knowledgeable could through some stuff up here about the best way to optimize systems with limited RAM and Hard Disk.
To whit, I understand purge settings of data to keep disk usage under control, but I'm not sure what to do for memory.
We're running ~300 point systems with 5-sec polling on most points, nearly all of which is getting sent up via the persistent TCP publisher. I'm not quite sure how to minimize Mango's memory footprint. Generally, TOP shows of the 1001.5 total, 35.4 free, 317.4 free, and 648.6 buff/cache on a freshly running instance on live data.
I was browsing the Forum here, and have seen many things about memory leak solutions and whatever else. So: Any advice on keeping Mango Happy with limited Memory and Disk resources?