isa

FROM python

# From the python:onbuild image
# For discussion of onbuild variant images see: https://hub.docker.com/_/python/
WORKDIR /usr/src/app
COPY . /usr/src/app
RUN pip install --no-cache-dir -r requirements.txt

# Install uWSGI
RUN pip install uwsgi

isa

function ll
  command /opt/homebrew/opt/coreutils/libexec/gnubin/ls --color=auto -Falh --group-directories-first $argv
end

function wget
  command wget -cq --show-progress $argv
end

function myip
  command dig +short myip.opendns.com @resolver1.opendns.com

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;

isa

#!/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

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

isa

#!/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" = "your@email.to.match" ]

isa

#!/bin/sh

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

isa

<div id="watch">
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    <li></li><li></li><li></li><li></li><li></li><li></li>

isa

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

isa

#!/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