ncode

#!/usr/bin/env python
from gevent import monkey 
monkey.patch_all()
import sys
import redis
import urllib2
import traceback
from cgi import escape

# -- gsdproxy 

inklesspen

(This gist is pretty old; I've written up my current approach to the Pyramid integration on this blog post, but that blog post doesn't go into the transactional management, so you may still find this useful.)

Fast and flexible unit tests with live Postgres databases and fixtures

I've created a Pyramid scaffold which integrates Alembic, a migration tool, with the standard SQLAlchemy scaffold. (It also configures the Mako template system, because I prefer Mako.)

I am also using PostgreSQL for my database. PostgreSQL supports nested transactions. This means I can setup the tables at the beginning of the test session, then start a transaction before each test happens and roll it back after the test; in turn, this means my tests operate in the same environment I expect to use in production, but they are also fast.

I based my approach on [sontek's blog post](http://sontek.net/blog/

nvie

# Alt 1: very explicit, but requires knowledge on what type of workers exist
from rq.workers.gevent import GeventWorker
w = GeventWorker(4)

# Alt 2: A bit like an "Abstract Factory", no need for knowing the implementing
# class names, backward compatible, and kind='forking' by default
from rq import Worker
w = Worker(4, kind='gevent')

# Alt 3: I don't think (2) works without really nasty tricks. This one is as

djcas9

{
  "event_id": 10750,
  "sensor": {
    "name": "snorby.org",
    "interface": "eth0",
    "id": 0,
    "filter": null,
    "encoding": null,
    "detail": null
  },

ngocphamm

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

• Scaling Twitter: Making Twitter 10000 Percent Faster
• Scaling Twitter
• Blaine Cook on Scaling Twitter - YouTube

jamestbrown

#!/usr/bin/python
from silk import *
import json
import random
import datetime
import time

def strTimeProp(start, end, format, prop):
    stime = time.mktime(time.strptime(start, format))
    etime = time.mktime(time.strptime(end, format))

lechup

from __future__ import absolute_import

import signal
import gevent
import gevent.pool
from rq import Worker
from rq.timeouts import BaseDeathPenalty, JobTimeoutException
from rq.worker import StopRequested, green, blue
from rq.exceptions import DequeueTimeout

fabiosantoscode

# This enables a publicly available server to forward connections to your computer behind a NAT.
# So if you access http://xx.xx.xx.xx:8080/ on your browser, traffic is redirected to your machine behind a NAT.

# on your local host, type:
ssh -R xx.xx.xx.xx:8888:localhost:80 [email protected]

# now wait for your shell, and type:
socat TCP-LISTEN:8080,FORK TCP:127.0.0.1:8888

# This command outputs nothing, just keep it running. While you don't ^C, your tunnel is up and running!

wizardjedi

sudo apt-get install debootstrap dchroot

mkdir tmp-os

sudo debootstrap --arch i386 --variant=minbase stable os-tmp http://ftp.debian.org/debian/

sudo chroot os-tmp /bin/bash

apt-get update && apt-get install curl vim mc wget