#!flask/bin/python | |
from flask import Flask, jsonify, abort, request, make_response, url_for | |
from flask_httpauth import HTTPBasicAuth | |
app = Flask(__name__, static_url_path = "") | |
auth = HTTPBasicAuth() | |
@auth.get_password | |
def get_password(username): | |
if username == 'miguel': |
#!/bin/zsh | |
# pyenv install for CentOS 6.5 x86_64 | |
yum install -y gcc gcc-c++ make git patch openssl-devel zlib-devel readline-devel sqlite-devel bzip2-devel | |
git clone git://github.com/yyuu/pyenv.git ~/.pyenv | |
export PATH="$HOME/.pyenv/bin:$PATH" | |
eval "$(pyenv init -)" |
This installation is going to require 2 servers one acts as kerberos KDC server
and the other machine is going to be client. Lets assume the FQDN's are (here
cw.com
is the domain name, make a note of the domain name here):
- Kerberos KDC Server: kdc.cw.com
- Kerberos Client: kclient.cw.com
Important: Make sure that both systems have their hostnames properly set and both systems have the hostnames and IP addresses of both systems in
#!/bin/bash | |
set -e | |
## striping seems to break docker | |
#STRIPE="-i2 -I64" | |
#DEVS="/dev/xvdf /dev/xvdg" | |
DEVS="$1" | |
if [ -z "$DEVS" ]; then | |
echo >&2 "Specify which block devices to use" | |
exit 1 |
docker用来隔离应用还是很方便的,一来本身的操作较为简单,二来资源占用也比虚拟机要小得多,三来也较为安全,因为像数据库这样的应用不会再全局暴露端口,同时应用间的通信通过加密和端口转发,更加安全。
Gitlab是目前比较流行的开源类Github代码管理平台。Gitlab使用Rails开发,使用PostgreSQL或MySQL数据库,Redis做缓存。一般自己搭建私有代码仓库,Gitlab通常是首选。这里简单介绍一下dockerized Gitlab。
Gitlab的docker镜像早已有人做好了,并且维护相当不错。大家可以前往其GitHub仓库了解该镜像的情况。官方repo的readme中已经有详细的安装配置方案,这里我简单的梳理一下部署流程。
这里以Ubuntu 14.04发行版为例,在bash中输入一下命令安装最新的docker:
# Set variables in .bashrc file | |
# don't forget to change your path correctly! | |
export GOPATH=$HOME/golang | |
export GOROOT=/usr/local/opt/go/libexec | |
export PATH=$PATH:$GOPATH/bin | |
export PATH=$PATH:$GOROOT/bin |
myApp.factory('Excel',function($window){
var uri='data:application/vnd.ms-excel;base64,',
template='<html xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:x="urn:schemas-microsoft-com:office:excel" xmlns="http://www.w3.org/TR/REC-html40"><head><!--[if gte mso 9]><xml><x:ExcelWorkbook><x:ExcelWorksheets><x:ExcelWorksheet><x:Name>{worksheet}</x:Name><x:WorksheetOptions><x:DisplayGridlines/></x:WorksheetOptions></x:ExcelWorksheet></x:ExcelWorksheets></x:ExcelWorkbook></xml><![endif]--></head><body><table>{table}</table></body></html>',
base64=function(s){return $window.btoa(unescape(encodeURIComponent(s)));},
format=function(s,c){return s.replace(/{(\w+)}/g,function(m,p){return c[p];})};
return {
The `Getting started`_ instructions are a good start (no surprise there!) but are somewhat incomplete and currently look a bit outdated (I plan to fix them soon): however, the outcome has been that I have struggled more than I felt necessary in building and running Mesos on a dev VM (Ubuntu 14.04 running under VirtualBox).
Some of the issue seem to arise from the unfortunate combination of Mesos Master trying to guess its own IP address, the VM being (obviously) non-DNS resolvable and, eventually, the Slave and the Framework failing to properly communicate with the Master.
In the process of solving this, I ended up automating all the dependencies installation, building and running the framework; I have then broken it down into the following modules to make it easier to run only parts of the process.
def yanghui_triangle(): | |
def safe_get_value(l, index): | |
length = len(l) | |
return 0<= index < length and l[index] or 0 | |
tmp = [1] | |
while True: | |
yield tmp | |
length = len(tmp) | |
new = [] |