andreineculau

import aws from 'aws-sdk';
import fs from 'fs';
import ini from 'ini';
import path from 'path';

// compatibility with aws-cli
let cliCacheFolder = path.join(process.env.HOME, '.aws', 'cli', 'cache');
let awsProfile = process.env.AWS_PROFILE || process.env.AWS_DEFAULT_PROFILE;
if (awsProfile) {
  try {

ptarjan

Scaling your API with rate limiters

The following are examples of the four types rate limiters discussed in the accompanying blog post. In the examples below I've used pseudocode-like Ruby, so if you're unfamiliar with Ruby you should be able to easily translate this approach to other languages. Complete examples in Ruby are also provided later in this gist.

In most cases you'll want all these examples to be classes, but I've used simple functions here to keep the code samples brief.

Request rate limiter

This uses a basic token bucket algorithm and relies on the fact that Redis scripts execute atomically. No other operations can run between fetching the count and writing the new count.

hochgi

package hochgi.util

package object collections {
  /**
   * `partition` and `map` combined.
   * for a given collection, and a function from the collection elements to `Either[A,B]`,
   * generates a tuple of 2 collections of types `A` and `B`
   *
   * @param xs the collection of elements
   * @param f a function that convert an element to an `Either[A,B]`

pzrq

# -*- coding: utf-8 -*-
"""
# usage: python mro_exploration.py
# https://github.com/pzrq/

Better PyCharm mixin handling would make it far more useful for 
Django Class-Based Views, Managers, and in contexts others have identified
such as Werkzeug.
https://youtrack.jetbrains.com/issue/PY-7712

mrlesmithjr

global
        log logstash    local0 #Change logstash to your naming
        log-send-hostname
        chroot /var/lib/haproxy
        user haproxy
        group haproxy
        daemon
        maxconn 4000

defaults

suprememoocow

- action: ec2_facts

- apt: pkg=lvm2 state=present
- apt: pkg=mdadm state=present

- pip: name=boto state=latest

- ec2_vol: instance="{{ hostvars[inventory_hostname]['ansible_ec2_instance-id'] }}"
           volume_size=20
           device_name="{{ item }}"

solidsnack

To get started with Docker/Marathon/Mesos, you need to install a
new Mesos, a new Marathon, and Deimos, the bridge to Docker.
You'll also need Docker and the JVM. These instructions are for
Ubuntu 13.10.

 ## Install Mesos prerequisites
 :; sudo apt-get update
 :; sudo apt-get install zookeeperd default-jre python-setuptools python-protobuf curl pip

 ## Install recent Mesos

solidsnack

#!/bin/bash
set -o errexit -o nounset -o pipefail
function -h {
cat <<EOF
 USAGE: syslogged <program> <args>

  Wraps a command invocation with logging, sending STDOUT and STDERR to
  syslog, setting the syslog tag to:

    <program>[<pid>]

algal

#
# A CORS (Cross-Origin Resouce Sharing) config for nginx
#
# == Purpose
#
# This nginx configuration enables CORS requests in the following way:
# - enables CORS just for origins on a whitelist specified by a regular expression
# - CORS preflight request (OPTIONS) are responded immediately
# - Access-Control-Allow-Credentials=true for GET and POST requests

rcrowley

import os
import os.path
import sys

from graphite.render.hashing import ConsistentHashRing

instances = []
unwelcome_instances = []
for arg in sys.argv[1:]:
    unwelcome = False