KhodeN

#! /usr/bin/env python
import argparse
import sys
import re
import time

line_nginx_full = re.compile(r"""(?P<ipaddress>\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}) - - \[(?P<dateandtime>\d{2}\/[a-z]{3}\/\d{4}:\d{2}:\d{2}:\d{2} (\+|\-)\d{4})\] ((\"(GET|POST) )(?P<url>.+)(http\/1\.1")) (?P<statuscode>\d{3}) (?P<bytessent>\d+) (["](?P<refferer>(\-)|(.+))["]) (["](?P<useragent>.+)["])""", 
    re.IGNORECASE)

line_nginx_onlyStatus = re.compile(r'.+HTTP\/1\.1" (?P<statuscode>\d{3})')

hgfischer

Benchmarking Nginx with Go

There are a lot of ways to serve a Go HTTP application. The best choices depend on each use case. Currently nginx looks to be the standard web server for every new project even though there are other great web servers as well. However, how much is the overhead of serving a Go application behind an nginx server? Do we need some nginx features (vhosts, load balancing, cache, etc) or can you serve directly from Go? If you need nginx, what is the fastest connection mechanism? This are the kind of questions I'm intended to answer here. The purpose of this benchmark is not to tell that Go is faster or slower than nginx. That would be stupid.

So, these are the different settings we are going to compare:

• Go HTTP standalone (as the control group)
• Nginx proxy to Go HTTP
• Nginx fastcgi to Go TCP FastCGI
• Nginx fastcgi to Go Unix Socket FastCGI

nodesocket

/* Flatten das boostrap */
.well, .navbar-inner, .popover, .btn, .tooltip, input, select, textarea, pre, .progress, .modal, .add-on, .alert, .table-bordered, .nav>.active>a, .dropdown-menu, .tooltip-inner, .badge, .label, .img-polaroid {
 	-moz-box-shadow: none !important;
	-webkit-box-shadow: none !important;
	box-shadow: none !important;
	-webkit-border-radius: 0px !important;
	-moz-border-radius: 0px !important;
	border-radius: 0px !important;
	border-collapse: collapse !important;
	background-image: none !important;

ragingwind

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

dypsilon

Frontend Development

Attention: the list was moved to

https://github.com/dypsilon/frontend-dev-bookmarks

This page is not maintained anymore, please update your bookmarks.

---

liukuan

<?php

  /**
	 * 加密 hash，生成发送给用户的 hash 字符串
	 *
	 * @param array $hash_data
	 * @param string $hash_key
	 * @return string
	 */
	function encode_hash($hash_data, $hash_key = false)

sanatgersappa

package main

import (
	"html/template"
	"io"
	"net/http"
	"os"
)

//Compile templates on start

bradpauly

Function.prototype.cache = function(){
  var _cache = {};

  this.store = function(n, v){
    _cache[n] = v;
    return v;
  }

  this.fetch = function(n) {
    if (n in _cache) {

discordianfish

package main

import (
	"fmt"
	"io"
	"log"
	"net/http"
	"os"
)

mreiferson

const (
	ModeAll = iota
	ModeRoundRobin
)

type Publisher interface {
	Publish(string, []byte) error
}

type PublishHandler struct {