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@zhengjia
zhengjia / capybara cheat sheet
Created June 7, 2010 01:35
capybara cheat sheet
=Navigating=
visit('/projects')
visit(post_comments_path(post))
=Clicking links and buttons=
click_link('id-of-link')
click_link('Link Text')
click_button('Save')
click('Link Text') # Click either a link or a button
click('Button Value')
@masak
masak / explanation.md
Last active October 2, 2024 09:32
How is git commit sha1 formed

Ok, I geeked out, and this is probably more information than you need. But it completely answers the question. Sorry. ☺

Locally, I'm at this commit:

$ git show
commit d6cd1e2bd19e03a81132a23b2025920577f84e37
Author: jnthn <[email protected]>
Date:   Sun Apr 15 16:35:03 2012 +0200

When I added FIRST/NEXT/LAST, it was idiomatic but not quite so fast. This makes it faster. Another little bit of masak++'s program.

@jboner
jboner / latency.txt
Last active November 16, 2024 21:28
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
@hellerbarde
hellerbarde / latency.markdown
Created May 31, 2012 13:16 — forked from jboner/latency.txt
Latency numbers every programmer should know

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

@lboynton
lboynton / memcached-init.sh
Created September 24, 2012 12:57
CentOS memcached init script with multiple instance support
#! /bin/bash
#
# chkconfig: - 55 45
# description: The memcached daemon is a network memory cache service.
# processname: memcached
### END INIT INFO
# Usage:
# cp /etc/memcached.conf /etc/memcached_server1.conf
# cp /etc/memcached.conf /etc/memcached_server2.conf
@domenic
domenic / promises.md
Last active October 13, 2024 22:51
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.
@solar
solar / install.sh
Created November 5, 2012 16:37
install memcached from source with supervisord
#!/bin/sh
version="1.4.15"
priority="10415"
libevent="/usr/local/libevent/2.0.20-stable/"
supervisordir="/etc/supervisord.d"
# create user
sudo groupadd memcached
sudo useradd -r -g memcached -s /sbin/nologin -M -d /var/run/memcached memcached
@tournasdim
tournasdim / Schema.php
Created June 29, 2013 16:58
A list of Laravel's Schema commands (Laravel 4)
<?php
Schema::create('users' , function($table)
{
$table->increments('id'); Incrementing ID to the table (primary key).
$table->string('email'); VARCHAR equivalent column
$table->string('name', 100); VARCHAR equivalent with a length
$table->integer('votes'); INTEGER equivalent to the table
@plentz
plentz / nginx.conf
Last active November 16, 2024 14:10
Best nginx configuration for improved security(and performance)
# to generate your dhparam.pem file, run in the terminal
openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048
@denji
denji / nginx-tuning.md
Last active November 5, 2024 10:10
NGINX tuning for best performance

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.