Real World Ruby Performance at Scale

on YouTube ↗43m

" summary

Claims concrete wins: Ruby 2.1 tools actually shave tail latencies and make production profiling safe. Uses PB profiler (meta-runner of benchmark, RBlineprof, memory_profiler), stackprof / stackprof-remote for production sampling, and memcache key hoisting. Finds a bad DNS-backed statsd send and cuts nested JSON generation from ~1.6s per item to ~30ms per item, shows occasional 1-in-10k cache misses drive p90 spikes, and proves iterative measure-change-confirm fixes work even when big cliffs don’t appear.

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" chapters (29)

1. 0:00Start
2. 0:11Real World Ruby Performance at Scale Aaron Quint
3. 1:58SKIPPING THE INTRO
4. 2:48TIPS AND TRICKS ARE THE CLIFF NOTES OF TECH LEARNING
5. 3:52RUBY PERFORMANCE AS THERAPY
6. 4:51PERFORMANCE IS ABOUT CONTEXT
7. 7:17METRICS! MEASUREMENT! MMMNUMBERS MILLISECONDS MATTER!
8. 7:49TOOLS ABOUND!
9. 8:14WHAT ARE THE STEPS TO FIX THIS PROBLEM?
10. 8:40TWO ANGLES OF OPTIMIZATION
11. 9:27VERTICAL: FIX INDIVIDUAL ELEMENTS aka, speeding up a single query, controller action, or code path
12. 9:42HORIZONTAL: ADDRESS HARDWARE OR SOFTWARE ACROSS A CLUSTER
13. 10:06CONTEXT IS CRUCIAL TO ACCEPTANCE
14. 10:24KNOWING YOUR TOOLS IS CRUCIAL TO TREATMENT
15. 12:35FEATURES VS. SPEED
16. 13:06WE REALIZED THAT BEING FAST MEANT BEING STABLE
17. 13:50CASE STUDIES IN PERFORMANCE THERAPY
18. 14:01JSON FOR DAYS
19. 17:49UNCACHED PERFORMANCE IS STILL A PROBLEM
20. 18:08PPPROFILER TO THE RESCUE
21. 21:54MAKE THE SLOWEST LINES FASTER Rinse and Repeat
22. 23:25FINGER IN THE SOCKET
23. 23:35BEFORE VDAY WE WERE LOOKING FOR ANY WINS
24. 27:34HMM, WHY IS STATSD SLOW?
25. 29:20THE HOLIDAY SCALE
26. 31:45SHRINKING THE GAP
27. 39:33BIG WINS ARE NOT THE POINT
28. 40:29IF YOU'RE NOT FAILING YOU'RE NOT BEING HONEST
29. 41:02DON'T JUST MAKE TOOLS, LEARN TO USE THEM

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