thegreenfield

upstream uwsgi {
	ip_hash;
        server 127.0.0.1:40000;
}
server {

        listen                  80;
        server_name             www.domain.com;
        root                    /sites/mysite/;
        access_log              /sites/mysite/log/nginx/access.log;

thegreenfield

Benchmarking Nginx with Go

There are a lot of ways to serve a Go HTTP application. The 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

thegreenfield

In August 2007 a hacker found a way to expose the PHP source code on facebook.com. He retrieved two files and then emailed them to me, and I wrote about the issue:

http://techcrunch.com/2007/08/11/facebook-source-code-leaked/

It became a big deal:

http://www.techmeme.com/070812/p1#a070812p1

The two files are index.php (the homepage) and search.php (the search page)

thegreenfield

#! /usr/bin/env python

import redis
import random
import pylibmc
import sys

r = redis.Redis(host = 'localhost', port = 6389)
mc = pylibmc.Client(['localhost:11222'])

thegreenfield

from django.contrib.sessions.backends.base import SessionBase, CreateError
from django.conf import settings
from django.utils.encoding import force_unicode
import redis

class SessionStore(SessionBase):
    """ Redis store for sessions"""

    def __init__(self, session_key=None):
        self.redis = redis.Redis(

thegreenfield

// make sure we're using the right db; this is the same as "use aggdb;" in shell
db = db.getSiblingDB("aggdb");

// simple projection
var p1 = db.runCommand(
{ aggregate : "article", pipeline : [
    { $project : {
	tags : 1,
	pageViews : 1
    }}

thegreenfield

server {
    listen 80;
    server_name %(name)s %(aliases)s;
    client_max_body_size 4G;
    keepalive_timeout 5;

    gzip on;
    gzip_static on;
    gzip_min_length 1000;
    gzip_types text/css text/plain text/javascript application/x-javascript application/x-json;    

thegreenfield

mkdir heroku
cd heroku/
virtualenv --no-site-packages env
source env/bin/activate
pip install bottle gevent
pip freeze > requirements.txt

cat >app.py <<EOF
import bottle
import os