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@jboner
jboner / latency.txt
Last active March 10, 2025 12:18
Latency Numbers Every Programmer Should Know
Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference 0.5 ns
Branch mispredict 5 ns
L2 cache reference 7 ns 14x L1 cache
Mutex lock/unlock 25 ns
Main memory reference 100 ns 20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy 3,000 ns 3 us
Send 1K bytes over 1 Gbps network 10,000 ns 10 us
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD
@dypsilon
dypsilon / frontendDevlopmentBookmarks.md
Last active March 4, 2025 16:05
A badass list of frontend development resources I collected over time.
@staltz
staltz / introrx.md
Last active March 9, 2025 05:06
The introduction to Reactive Programming you've been missing
# Hello, and welcome to makefile basics.
#
# You will learn why `make` is so great, and why, despite its "weird" syntax,
# it is actually a highly expressive, efficient, and powerful way to build
# programs.
#
# Once you're done here, go to
# http://www.gnu.org/software/make/manual/make.html
# to learn SOOOO much more.

Folder Structure

Please note

While this gist has been shared and followed for years, I regret not giving more background. It was originally a gist for the engineering org I was in, not a "general suggestion" for any React app.

Typically I avoid folders altogether. Heck, I even avoid new files. If I can build an app with one 2000 line file I will. New files and folders are a pain.

@Couto
Couto / webpack.js
Last active November 7, 2024 13:10
Fetch polyfill with webpack
var webpack = require('webpack');
var HtmlWebpackPlugin = require('html-webpack-plugin');
var path = require('path');
var folders = {
APP: path.resolve(__dirname, '../app'),
BUILD: path.resolve(__dirname, '../build'),
BOWER: path.resolve(__dirname, '../bower_components'),
NPM: path.resolve(__dirname, '../node_modules')
};
@manigandham
manigandham / rich-text-html-editors.md
Last active November 14, 2024 09:30
Rich text / HTML editors and frameworks

Strictly Frameworks

Abstracted Editors

These use separate document structures instead of HTML, some are more modular libraries than full editors

@diegoconcha
diegoconcha / redux_egghead_notes.md
Last active January 18, 2022 13:23
Redux Egghead.io Notes

###Redux Egghead Video Notes###

####Introduction:#### Managing state in an application is critical, and is often done haphazardly. Redux provides a state container for JavaScript applications that will help your applications behave consistently.

Redux is an evolution of the ideas presented by Facebook's Flux, avoiding the complexity found in Flux by looking to how applications are built with the Elm language.

####1st principle of Redux:#### Everything that changes in your application including the data and ui options is contained in a single object called the state tree

@yossorion
yossorion / what-i-wish-id-known-about-equity-before-joining-a-unicorn.md
Last active March 1, 2025 08:27
What I Wish I'd Known About Equity Before Joining A Unicorn

What I Wish I'd Known About Equity Before Joining A Unicorn

Disclaimer: This piece is written anonymously. The names of a few particular companies are mentioned, but as common examples only.

This is a short write-up on things that I wish I'd known and considered before joining a private company (aka startup, aka unicorn in some cases). I'm not trying to make the case that you should never join a private company, but the power imbalance between founder and employee is extreme, and that potential candidates would

Scaling your API with rate limiters

The following are examples of the four types rate limiters discussed in the accompanying blog post. In the examples below I've used pseudocode-like Ruby, so if you're unfamiliar with Ruby you should be able to easily translate this approach to other languages. Complete examples in Ruby are also provided later in this gist.

In most cases you'll want all these examples to be classes, but I've used simple functions here to keep the code samples brief.

Request rate limiter

This uses a basic token bucket algorithm and relies on the fact that Redis scripts execute atomically. No other operations can run between fetching the count and writing the new count.