Web Performance meets Machine Learning

Web Performance meets Machine Learning

In this talk, we’ll see how to use Guess.js - a toolkit for enabling data-driven UX, for automating the code splitting & pre-fetching for our React, Angular, and vanilla JavaScript applications by using machine learning! We’ll explain how with a single line of webpack config, we can make our build smarter & our applications faster!

82bafb0432ce4ccc9dcc26f94d5fe5bc?s=128

Minko Gechev

October 18, 2018
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Transcript

  1. 18.

    twitter.com/mgechev Step 1: Open https://example.com/ Step 2: Determine JavaScript which

    is likely to be required Step 3: Download the chunks Step 4: Store chunks in browser cache Pre-fetching
  2. 38.

    twitter.com/mgechev - Main & Settings in same chunk ‣ Update

    of the source code - Pre-fetch FAQ when the user is at Home Possible optimizations
  3. 42.

    twitter.com/mgechev const { GuessPlugin } = require('guess-webpack'); "// ""... plugins:

    [ "// ""... new GuessPlugin({ GA: 'XXXXXX' }) ] "// ""...
  4. 52.

    twitter.com/mgechev const { fetch } = require(‘guess-ga'); fetch({ key: require('./c.json'),

    viewId: '000000000', period: { startDate, endDate }, routes }) .then(g "=> writeFileSync('data.json', JSON.stringify(g))); guess-ga
  5. 59.

    twitter.com/mgechev Markov Chain / /a /a/:id /b /b/a / 0

    0.3 0 0.7 0 /a 0 0 0.9 0.1 0 /a/:id 0 1 0 0 0 /b 0 0 0 0 1 /b/a 0 1 0 0 0 /a /a/a /a/b /b /b/a /
  6. 60.

    twitter.com/mgechev /a /a/a /a/b /b /b/a / Activity: / /a

    /a/:id /b /b/a / 0 0.3 0 0.7 0 /a 0 0 0.9 0.1 0 /a/:id 0 1 0 0 0 /b 0 0 0 0 1 /b/a 0 1 0 0 0 Probability threshold: 0.5
  7. 61.

    twitter.com/mgechev /a /a/a /a/b /b /b/a / Activity: / /a

    /a/:id /b /b/a / 0 0.3 0 0.7 0 /a 0 0 0.9 0.1 0 /a/:id 0 1 0 0 0 /b 0 0 0 0 1 /b/a 0 1 0 0 0 Probability threshold: 0.5
  8. 62.

    twitter.com/mgechev /a /a/a /a/b /b /b/a / Activity: / /a

    /a/:id /b /b/a / 0 0.3 0 0.7 0 /a 0 0 0.9 0.1 0 /a/:id 0 1 0 0 0 /b 0 0 0 0 1 /b/a 0 1 0 0 0 Probability threshold: 0.5
  9. 63.

    twitter.com/mgechev / /a /a/:id /b /b/a / 0 0.3 0

    0.7 0 /a 0 0 0.9 0.1 0 /a/:id 0 1 0 0 0 /b 0 0 0 0 1 /b/a 0 1 0 0 0 /a /a/a /a/b /b /b/a / Activity: - Download b.bundle.js Probability threshold: 0.5
  10. 64.

    twitter.com/mgechev /a /a/a /a/b /b /b/a / Activity: - Download

    b.bundle.js / /a /a/:id /b /b/a / 0 0.3 0 0.7 0 /a 0 0 0.9 0.1 0 /a/:id 0 1 0 0 0 /b 0 0 0 0 1 /b/a 0 1 0 0 0 Probability threshold: 0.5
  11. 65.

    twitter.com/mgechev /a /a/a /a/b /b /b/a / Activity: - Download

    b.bundle.js / /a /a/:id /b /b/a / 0 0.3 0 0.7 0 /a 0 0 0.9 0.1 0 /a/:id 0 1 0 0 0 /b 0 0 0 0 1 /b/a 0 1 0 0 0 Probability threshold: 0.5
  12. 66.

    twitter.com/mgechev /a /a/a /a/b /b /b/a / / /a /a/:id

    /b /b/a / 0 0.3 0 0.7 0 /a 0 0 0.9 0.1 0 /a/:id 0 1 0 0 0 /b 0 0 0 0 1 /b/a 0 1 0 0 0 Activity: - Download b.bundle.js - No action Probability threshold: 0.5
  13. 67.

    twitter.com/mgechev /a /a/a /a/b /b /b/a / / /a /a/:id

    /b /b/a / 0 0.3 0 0.7 0 /a 0 0 0.9 0.1 0 /a/:id 0 1 0 0 0 /b 0 0 0 0 1 /b/a 0 1 0 0 0 Activity: - Download b.bundle.js - No action Probability threshold: 0.5
  14. 68.

    twitter.com/mgechev /a /a/a /a/b /b /b/a / / /a /a/:id

    /b /b/a / 0 0.3 0 0.7 0 /a 0 0 0.9 0.1 0 /a/:id 0 1 0 0 0 /b 0 0 0 0 1 /b/a 0 1 0 0 0 Activity: - Download b.bundle.js - No action Probability threshold: 0.5
  15. 69.

    twitter.com/mgechev /a /a/a /a/b /b /b/a / / /a /a/:id

    /b /b/a / 0 0.3 0 0.7 0 /a 0 0 0.9 0.1 0 /a/:id 0 1 0 0 0 /b 0 0 0 0 1 /b/a 0 1 0 0 0 Activity: - Download b.bundle.js - No action - Download a.bundle.js Probability threshold: 0.5
  16. 72.
  17. 75.

    twitter.com/mgechev A X h A X h General purpose Fast

    to train Domain specific Small payload
  18. 76.

    twitter.com/mgechev - Personalized bundling - Smarter clustering - Smarter model

    - Personalize pre-fetching - Reduced chunk over fetching Future plans