Hacker News new | ask | show | jobs
by derefr 1325 days ago
Yup. In both cases, I was presuming a worst-case workload — e.g. an OLAP workload where you have to read all the data in the DB to answer a query, and "all the data" is far larger than RAM; or 10k concurrent queries from different tenants who all care about different things. That's really where bottlenecks will hit you. "More RAM" does help when your problems aren't worst-case problems. :)