4 ms·
If you know you're going to want this type of parallelism and simple deployments, use languages that have better threading stories. That said, one place I work
by dehrmann 5y ago
If you know you're going to want this type of parallelism and simple deployments, use languages that have better threading stories.
That said, one place I worked had a legacy Python service on 16+ core machines. We happened to deploy with dpkg, apt, and docker (I wouldn't necessarily recommend this), and the start script spun up cpu count - 1 instances with CPU affinity set. There was something like nginx for routing out in front.