05-08-2018
Let me see if my understanding comes close. On one single server, you have several different (database?) applications, each of which is running on different datasets for different countries; it now becomes overloaded and causes problems, probably performance wise. Can you quantify the problem?
So you have APP_A running on DB1, APP_A running on DB2, APP_A running on DB3, then APP_B running on DB4 (or is it DB1 again?), APP_B running on DB5 / DB2, etc.
You might use tools like vmstat, ps, or top to extract memory consumption for processes, and there might be others as well. Use with care, and take a few snapshots over time to account for load variations.
The difficulty of answering your question lies in e.g. shared memory, as multiple application instances might work from one single code copy in memory, and database systems tend to utilise shared memory as well for effectiveness.
I'm afraid there's no easy, general way to get at your desired numbers; you might want to hire an expert for this analysis.
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