Running a suite of services in containers (DBs, DNS, reverse proxy, memcached, redis, elasticsearch, shared services, etc) plus a number of discreet applications that use all those things. My day-to-day usage hovers around 20GB with spikes to 32 (my max allocation) when I run parallelized test suites.
Dockers memory usage really adds up fast.
ben_dover@lemmy.ml 2 months ago
not OP, but I have to run fronted and backend of a project in docker simultaneously (multiple postgres and redis dbs, queues, search index, etc., plus two webservers), plus a few browser tabs and two VSCode instances open, regularly pushes my machine over 15gb ram usage
Veraxus@lemmy.world 2 months ago
That is basically my use-case. You add a DB service (or two), DNS, reverse proxy, Redis, Memcached, etc… maybe some backend services like APIs, and then the applications that need those things to run… it adds up FAST. The advantage is that you can have multiple projects all running simultaneously and you can add/remove/swap them pretty easily.
RAM is cheap. There is no excuse for shipping a 8GB computer… even if it’s mostly going to be used for family photos and internet.
seth@lemmy.world 2 months ago
That was a fun song, t4t.