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#
# Run as root
# $ bash <(curl -s https://raw.github.com/gist/1631411)
#

# Update, upgrade and install development tools:
apt-get update
apt-get -y upgrade
apt-get -y install build-essential git-core curl \
                   libssl-dev \

isa

RHEL 6.3 veewee templates for vagrant use

These templates can be used to feed to veewee to spin up an el6 basebox for use with vagrant.

There are some coded values in definition.rb and ks.cfg which point at Yale-ishness. Amend to point at local RHEL iso/yum repo.

Built successfully with veewee 0.2.3, vagrant 1.0.3, Virtualbox 4.1.18.

Config Management

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#!/bin/env bash
# chkconfig: 2345 80 05
# description: Starts and stops the Tomcat
#
# if you are doing tomcat instancing, you might wanna check the CATALINA_PID logic down here to create something more dynamic behavior
# other than that just add this file under /etc/init.d/ as tomcat and use chkconfig to configure
#
# chkconfig --add tomcat
# chkconfig --level 2345 tomcat on
# chkconfig --list tomcat

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Webkit needs an X server in order to be able to render. If you're running on any Linux server distribution then you won't have an X server running. You can use the xvfb package to generate a virtual framebuffer for the duration of your tests. For example:

DISPLAY=localhost:1.0 xvfb-run cucumber

If you are running this on a build server you might have something like this:

DISPLAY=localhost:1.0 xvfb-run cucumber -p default -f junit -o cucumber

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<div id="watch">
  <div class="frame-face"></div>
  <ul class="minute-marks">
    <li></li><li></li><li></li><li></li><li></li><li></li>
    <li></li><li></li><li></li><li></li><li></li><li></li>
    <li></li><li></li><li></li><li></li><li></li><li></li>
    <li></li><li></li><li></li><li></li><li></li><li></li>
    <li></li><li></li><li></li><li></li><li></li><li></li>
    <li></li><li></li><li></li><li></li><li></li><li></li>
    <li></li><li></li><li></li><li></li><li></li><li></li>

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#!/bin/sh

# This program has two feature.
#
# 1. Create a disk image on RAM.
# 2. Mount that disk image.
#
# Usage:
#   $0 <dir> <size>
#

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#!/bin/sh

git filter-branch --env-filter '

an="$GIT_AUTHOR_NAME"
am="$GIT_AUTHOR_EMAIL"
cn="$GIT_COMMITTER_NAME"
cm="$GIT_COMMITTER_EMAIL"

if [ "$GIT_COMMITTER_EMAIL" = "[email protected]" ]

isa

Backend Architectures

Twitter

ror, scala, jetty, erlang, thrift, mongrel, comet server, my-sql, memchached, varnish, kestrel(mq), starling, gizzard, cassandra, hadoop, vertica, munin, nagios, awstats

• Introduce Gizzard of Twitter - 트위터의 새로운 분산 관리 라이브러리 Gizzard를 소개합니다.
• The Architecture Twitter Uses to Deal with 150M Active Users, 300K QPS, a 22 MB/S Firehose, and Send Tweets in Under 5 Seconds
• Scaling Twitter: Making Twitter 10000 Percent Faster

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#!/bin/sh                                                                                                                     

# The bandwidth to simulate, here about 56kilobit per second. This is layer 2 bandwidth, so TCP/UDP and IP overhead will apply                                
BW="56kbps"                                                                                                                                                   
# _Half_ the latency that we aim for. Since this applies to both the WAN port and Wi-Fi, the delay is applied twice, so this actually puts it at around 120+ms
LATENCY="60ms"                                                        
# Chance of packet loss. Also applied to both interfaces, so it is 1%.
LOSS="0.5%"                           
# The device name of your wifi device.
WIFI="wlan0"                      

isa

#!/bin/sh
find ${1:-.} -type f -exec ls -lnq {} \+ | awk '
function pp() {
  u="+Ki+Mi+Gi+Ti";
  split(u,unit,"+");
  v=sum;
  r=0;
  for(i=1;i<5;i++) {
    if(v<1024) break;
    r=v%1024;