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@jboner
jboner / latency.txt
Last active May 3, 2024 15:17
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
@crtr0
crtr0 / client.js
Created June 8, 2012 17:02
A simple example of setting-up dynamic "rooms" for socket.io clients to join
// set-up a connection between the client and the server
var socket = io.connect();
// let's assume that the client page, once rendered, knows what room it wants to join
var room = "abc123";
socket.on('connect', function() {
// Connected, let's sign-up for to receive messages for this room
socket.emit('room', room);
});
@MohamedAlaa
MohamedAlaa / tmux-cheatsheet.markdown
Last active May 3, 2024 19:09
tmux shortcuts & cheatsheet

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname
@brandonb927
brandonb927 / osx-for-hackers.sh
Last active May 2, 2024 03:13
OSX for Hackers: Yosemite/El Capitan Edition. This script tries not to be *too* opinionated and any major changes to your system require a prompt. You've been warned.
#!/bin/sh
###
# SOME COMMANDS WILL NOT WORK ON macOS (Sierra or newer)
# For Sierra or newer, see https://github.com/mathiasbynens/dotfiles/blob/master/.macos
###
# Alot of these configs have been taken from the various places
# on the web, most from here
# https://github.com/mathiasbynens/dotfiles/blob/5b3c8418ed42d93af2e647dc9d122f25cc034871/.osx
@ibeex
ibeex / foo.log
Created August 4, 2012 13:46
Flask logging example
A warning occurred (42 apples)
An error occurred
@domenic
domenic / promises.md
Last active March 31, 2024 14:07
You're Missing the Point of Promises

This article has been given a more permanent home on my blog. Also, since it was first written, the development of the Promises/A+ specification has made the original emphasis on Promises/A seem somewhat outdated.

You're Missing the Point of Promises

Promises are a software abstraction that makes working with asynchronous operations much more pleasant. In the most basic definition, your code will move from continuation-passing style:

getTweetsFor("domenic", function (err, results) {
 // the rest of your code goes here.
@malarkey
malarkey / Contract Killer 3.md
Last active April 16, 2024 21:44
The latest version of my ‘killer contract’ for web designers and developers

When times get tough and people get nasty, you’ll need more than a killer smile. You’ll need a killer contract.

Used by 1000s of designers and developers Clarify what’s expected on both sides Helps build great relationships between you and your clients Plain and simple, no legal jargon Customisable to suit your business Used on countless web projects since 2008

…………………………

@joscha
joscha / meteor-async.md
Last active August 29, 2017 06:51 — forked from possibilities/meteor-async.md
Meteor Async Guide

From Meteor's documentation:

In Meteor, your server code runs in a single thread per request, not in the asynchronous callback style typical of Node. We find the linear execution model a better fit for the typical server code in a Meteor application.

This guide serves as a mini-tour of tools, trix and patterns that can be used to run async code in Meteor.

Basic async

Sometimes we need to run async code in Meteor.methods. For this we create a Future to block until the async code has finished.

@ndarville
ndarville / business-models.md
Last active January 13, 2024 17:27
Business models based on the compiled list at http://news.ycombinator.com/item?id=4924647. I find the link very hard to browse, so I made a simple version in Markdown instead.

Business Models

Advertising

Models Examples
Display ads Yahoo!
Search ads Google
# you can make a text file of request times (in ms, one number per line) and import it here, or you can use a probability distribution to simulate request times (see below where setting req_durations_in_ms)
# rq = read.table("~/Downloads/request_times.txt", header=FALSE)$V1
# argument notes:
# parallel_router_count is only relevant if router_mode is set to "intelligent"
# choice_of_two, power_of_two, and unicorn_workers_per_dyno are only relevant if router_mode is set to "naive"
# you can only select one of choice_of_two, power_of_two, and unicorn_workers_per_dyno
run_simulation = function(router_mode = "naive",
reqs_per_minute = 9000,