Cutting Python Web App Memory Over 31%

tl;dr; I cut 3.2 GB of memory usage from our Python web apps using five techniques: async workers, import isolation, the Raw+DC database pattern, local imports for heavy libraries, and disk-based caching. Here are the exact before-and-after numbers for each optimization. Over the past few weeks, I’ve been ruthlessly focused on reducing memory usage on my web apps, APIs, and daemons. I’ve been following the one big server pattern for deploying all the Talk Python web apps, APIs, background se...