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Production optimization with

React and Webpack
@k88hudson
Firefox Engineering, Mozilla
🏎
Why React?
Abstracts away the DOM
Works on servers,
native apps, …Firefox?!?
It’s fast*
Helpful errors
Deterministic
component
rendering
Lifecycle
Testable
Why Webpack?
node_modules
file system
single bundle
for client-side
applications
Why optimization?
ERROR!
ERROR!
Users have high standards for
performance
Good optimization is not just making
everything faster, smaller and more
fault tolerant…
…it’s about being aware of your
options and making the right
compromises.
Everyone has Opinions™
Laws of benevolent optimization
Laws of benevolent optimization
1. Don’t optimize prematurely
2. Know your options
3. Instrument your sh*t
4. Set benchmarks that make sense for
your actual users
1. Don’t optimize prematurely
Before you optimize…
• Know what you’re building, address the UX/
product risk first
• Are your engineers on the same page as
your designers/product? Do you share a
common goal?
• Finish a few rounds of internal testing
• Have a good idea of who your users are
You might be ready to optimize if…
• You’re about to ship a product to market,
particularly on devices or in conditions that are
different from your development environment
• You’ve already shipped an MVP and are seeing
latency/perf/errors bog you down
• You’ve already shipped a product and have no
idea if it’s performing well but you feel like you
should probably figure that out
2. Know your options
Where can we optimize?
Development Build time
RuntimeAnalysis
Webpack—optimizing at
Build time
Development
Optimizing at build time
Transform code (for size, compatibility)
Manage configuration
Remove unused, non-essential code
Re-structure files/output
main.js
main.bundle.js
Typical Webpack set-up
Using custom loaders
Compiling ES2015 and JSX
<Foo bar />
React.createElement(Foo, { bar: true });
How big is the bundle?
Without webpack
react.js 628K
react-dom.js 4.0k
With webpack
main.js 648K
Webpack’s built-in production
optimization plugins
webpack -p
Webpack’s built-in production
optimization plugins
• optimize-minimize (UglifyJS)
• optimize-occurrence-order
• optimize-dedupe
With webpack -p
main.js 172K (-476k)
Another option—
Using the production build directly
With resolve/externals
main.js 136K (-512)
Use a production build of React
process.env.NODE_ENV
Use a production build of React
How DefinePlugin works
Using DefinePlugin for dev-only
dependencies
my-dev-logger will not be included in the bundle.
With webpack -p
NODE_ENV=production
main.js 128K (-520k)
This is stuff you should definitely be doing.
3. Instrument your sh*t
webpack --json
webpack-bundle-size-analyzer
React—optimizing at Runtime
First-load latency
First-load latency
First-load latency
General optimizations
If we render with JS…
loading…
Server-side rendering with react
Precompile the initial state
Instrumenting performance
Instrumenting performance
Time to first React render
Time to first React render

with content
Total render time
What if we’re having

rendering issues?
Reasons this might be a problem
• You are manipulating or reading the DOM directly
• You are handling very large arrays of complex
elements
• Your business logic contains computationally
expensive functions
• You are rendering very complex DOM elements (such
as SVG visualizations)
Manipulating/reading the DOM
Using keys correctly
Using keys correctly
Using keys correctly
shouldComponentUpdate
shouldComponentUpdate
Use React Perf tools
require(“react-addons-perf“);
Perf.printInclusive
Perf.printExclusive
Perf.printWasted
Perf.printOperations()
Laws of benevolent optimization
1. Don’t optimize prematurely
2. Know your options
3. Instrument your sh*t
4. Set benchmarks that make sense for
your actual users
What should you benchmark?
• File size
• Time to first load
• Time to render
What is acceptable depends on who your
users are what they’re likely to expect
The difference between 

over-engineering and good engineering
is making the right compromises
Thanks!
Tweet at me @k88hudson
😎

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