Trying to forecast the above metrics for our postgres database servers. We have nagios and cacti. How have you done this?
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Disk:
You can experiment with
pg_column_sizeto figure out how big a value (or a table row) will be on disk.There will be a lot of overhead: headers, empty space in disk blocks, and of course all the space for indexes you create. Estimate something between three and ten times the space got with
pg_column_size.You will also have to reserve disk space for archived transaction logs (WAL).
Memory:
As much as possible for a busy database.
CPU:
As many cores as you expect concurrent queries.