The issue is language ecosystems that don't use client side connection pooling because they're single threaded (node, Python). So scaling up the number of web server threads means scaling the number of Postgres processes, which are expensive.
replyThis solves the latency but not the overhead--you'll end up with a full pool of connections for each running instance of your application.
replyHow many running instances do you need though? e.g. Scala web frameworks should be able to do thousands of RPS on a single core without the application developer really trying to optimize anything, and I always hear that even Ruby, Python, etc. are also fast enough to be IO bound so you should just need 2 copies for redundancy, right? Then give each like 8-16 connections.
replyIf I'm implementing my own connection pool, I'll certainly make the number of connections configurable.
replyThat's fine but doesn't address the issue that PgBouncer does. Your application connection pool can multiplex all the connections needed in one application. PgBouncer can multiplex the connections across all applications (whether different apps or many instances of the same app).
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