Experimented making node_modules external, rather than bundling: huge available memory win (7 GiB -> 17 GiB) + normalization in server response times (less garbage to collect), but P95 up 50%
@AirbnbEng #webperfpic.twitter.com/DZDT3gSOrO
@GoogleChrome / @v8js / Blink • Opinions are mine
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Experimented making node_modules external, rather than bundling: huge available memory win (7 GiB -> 17 GiB) + normalization in server response times (less garbage to collect), but P95 up 50%
@AirbnbEng #webperfpic.twitter.com/DZDT3gSOrO
Super super interesting. Have you done any tests with v4-alpha.1 maybe @GaryBorton and @lencioni can help advise.
This is very interesting data. So just by bundle vs. non-bundle changes the memory profile significantly? Can you share more details about the application? Maybe we can start a mail thread here?
Can you run with --trace-gc and send us the output?
I don't think so, at the very least we're storing fewer global modules by not including each node module in each of our bundles. Requiring a single instance instead.
@NoahSug Any chance you could provide us with --trace-gc output here?
@bmeurer here you go: https://gist.github.com/noahsug/709cd1cc49bb94af754011508f9042b4 …
These were generated by requesting two bundles over and over again via ApacheBench. The > 500ms spikes occur on lines 639, 657, 762, 773, 821, 839 and 875.
Awesome, thank you! Can you also pass --trace-gc-nvp in addition to --trace-gc? (suggested by @mlippautz). This gives additional information.
And in addition --trace-incremental-marking --trace-gc-verbose please? We have a theory that we'd like to validate. 
Logs are super useful! Please file an issue on http://crbug.com/v8 assinging it to mlippautz@ so that we can follow up on this with you. Looks like incremental marking could be an issue here.
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