"10 performance sins of Rails applications"

on YouTube ↗35m

" summary

Shows specific fixes and measured results: set up New Relic/Skylight/Datadog and track mean, median and 95th percentile; move a preloaded 2000 stations live-search from front end to backend and cut initial page load ~20% with a ~3% conversion lift; removing one unnecessary Facebook Pixel yields ~50% speed increase; use pluck/select/count and add DB indexes to avoid heavy ActiveRecord objects; push email/report work to background using Active Job / Sidekiq and enqueue IDs not objects; test on slow phones to catch front-end bloat.

AI-written summary · about

" chapters (10)

1. 0:00Introduction
2. 1:36Measuring performance is key
3. 7:04Front-end vs back-end speed
4. 11:08Optimization without measurement
5. 15:34Doing too much in code
6. 18:45Caching strategies in Rails
7. 20:13Active Record performance pitfalls
8. 27:12Offload work to background jobs
9. 31:40Front-end performance matters
10. 34:00Q&A and closing

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