defunkt

# unicorn_rails -c /data/github/current/config/unicorn.rb -E production -D

rails_env = ENV['RAILS_ENV'] || 'production'

# 16 workers and 1 master
worker_processes (rails_env == 'production' ? 16 : 4)

# Load rails+github.git into the master before forking workers
# for super-fast worker spawn times
preload_app true

nex3

#!/usr/bin/env ruby

# Alex's changes:
# * erector and erector_mixin
# * each template now includes a loop and a variable (this affects HAML quite a lot)
# * automated comparison and benchmarking 
# * make sure variable is truly being interpolated

# # of iterations = 10000
#                           user     system      total        real

dahlia

# 30 minutes Lisp in Ruby
# Hong Minhee <http://dahlia.kr/>
#
# This Lisp implementation does not provide a s-expression reader.
# Instead, it uses Ruby syntax like following code:
#
#     [:def, :factorial,
#       [:lambda, [:n],
#         [:if, [:"=", :n, 1],
#               1,

igrigorik

require 'rubygems'
require 'rack'

class Object
  def webapp
    class << self
       define_method :call do |env|
         func, *attrs = env['PATH_INFO'].split('/').reject(&:empty?)
         [200, {}, send(func, *attrs)]
       end

jstorimer

RedisSessionStore.logger = Rails.logger

session_options = {:expire_after => 1.day, :key_prefix => 'sessions'}
MultiSessionStore.stores[:plain] = [RedisSessionStore, session_options.merge(:key => '_session_id')]
MultiSessionStore.stores[:secure] = [RedisSessionStore, session_options.merge(:key => '_secure_session_id', :secure => ['production', 'staging'].include?(Rails.env))]
MultiSessionStore.default_store = :plain

MultiSessionStore.routes = [
  ['/admin', :secure],
]

roncioso

/*
  Nice to study. Original here http://www.20thingsilearned.com/js/twentythings.min.js
*/

var TT = TT || {};
TT.PAGE_WIDTH = 800;
TT.PAGE_HEIGHT = 500;
TT.PAGE_MIN_WIDTH = 1000;
TT.PAGE_MIN_HEIGHT = 680;
TT.PAGE_MARGIN_LEFT = 32;

pat

require 'app'
require 'thinking_sphinx/tasks'

justfalter

SUMMARY
I like to use kcachegrind for doing profiling on my ruby code. Most of my development
is done on OSX, and while you can install kcachegrind via macports, it takes forever
because it has to build KDE, as well. Much to my surprise, the fine folks who 
wrote kcachegrind also made a QT version, qcachegrind. I was able to build this on
OSX without too much effort, only having to install QT and GraphViz. Yippie!

I'm running OSX 10.6.7, with Xcode 4. My default gcc/g++ version is 4.2. I'm sure
it will build just fine on earlier versions of Xcode, but I haven't tested it.

kjwierenga

#!/bin/sh

#########################################################################
#									#
#	MySQL performance tuning primer script				#
#	Writen by: Matthew Montgomery <mmontgomery@mysql.com>		#
#	Inspired by: MySQLARd (http://gert.sos.be/demo/mysqlar/)	#
#	Version: 1.5-r5		Released: 2009-11-22			#
#	Licenced under GPLv2                                            #
#									#

bric3

#  _______ _     _                      _       _                                   _ 
# |__   __| |   (_)                    (_)     | |                                 | |
#    | |  | |__  _ ___    ___  ___ _ __ _ _ __ | |_    _ __ ___   _____   _____  __| |
#    | |  | '_ \| / __|  / __|/ __| '__| | '_ \| __|  | '_ ` _ \ / _ \ \ / / _ \/ _` |
#    | |  | | | | \__ \  \__ \ (__| |  | | |_) | |_   | | | | | | (_) \ V /  __/ (_| |
#    |_|  |_| |_|_|___/  |___/\___|_|  |_| .__/ \__|  |_| |_| |_|\___/ \_/ \___|\__,_|
#                                        | |                                          
#                                        |_|                                          
#
# New home : https://github.com/bric3/osx-jdk5-installer