We experimented with different async DB approaches, but settled on synchronous at FriendFeed because generally if our DB queries were backlogging our requests, our backends couldn't scale to the load anyway. Things that were slow enough were abstracted to separate backend services which we fetched asynchronously via the async HTTP module.
Recent articles
- Moltbook is the most interesting place on the internet right now - 30th January 2026
- Adding dynamic features to an aggressively cached website - 28th January 2026
- ChatGPT Containers can now run bash, pip/npm install packages, and download files - 26th January 2026