Rails Performance First Aid

on YouTube ↗32m

" summary

Shows concrete fixes: use New Relic or Skylight and flamegraph profilers to find hot spots (one app drops from 6 seconds to ~500 ms after fixes), run load tests before/after, and aim for ~250–300 ms end-to-end. Remove Ruby-level work by adding joins or SQL NOT EXISTS queries, fix N+1s with Bullet and the undocumented preloader trick, add partial indexes and EXPLAIN plans, move servers closer to users to cut network latency, and use fragment/JSON caching with Redis and conditional GETs (304s).

AI-written summary · about

" chapters (8)

1. 0:00Introduction
2. 1:03Rails performance myths
3. 5:04First aid approach
4. 11:16Measuring performance
5. 16:57Database tuning basics
6. 25:30Caching strategies
7. 28:37Quick optimizations
8. 30:06Summary and Q&A

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