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# Iterates over files and subdirectories in directorie[s] given as arguments
# and adds raw text of those files to merged.txt in the working directory
# where the script is called

# Call like this:
# ruby merge.rb {absolute path portion to delete} {directory to scan} [{directory to scan}]
# For example:
# ruby merge.rb /Users/donnieclapp/Projects/ ~/Projects/htl-website/myproject/static_media/stylesheets

# create or open the merged.txt file for writing (in working directory)

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console.log('Loading function');

const https = require('https');
const url = require('url');
// to get the slack hook url, go into slack admin and create a new "Incoming Webhook" integration
const slack_url = 'https://hooks.slack.com/services/...';
const slack_req_opts = url.parse(slack_url);
slack_req_opts.method = 'POST';
slack_req_opts.headers = {'Content-Type': 'application/json'};

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AWS CLI Cheatsheet

http://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html https://www.youtube.com/watch?v=_wiGpBQGCjU

Setup

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package httptimeout

import (
	"net/http"
	"time"
	"fmt"
)

type TimeoutTransport struct {
	http.Transport

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package httpclient

import (
    "net"
    "net/http"
    "time"
)

type Config struct {
    ConnectTimeout   time.Duration

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#!/bin/bash

# A variation of:
# https://github.com/majek/dump/blob/master/how-to-receive-a-packet/softnet.sh
# by [email protected] / https://github.com/jwbensley

cmd="${0##*/}"

usage() {
cat >&2 <<EOI

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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.

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AWS Golang SDK examples

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#!/usr/bin/env python
# coding: utf-8

import os
import sys

from rename import get_new

if __name__ == '__main__':
    origin = sys.argv[1]

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package main

import (
        "bytes"
        "exec"
        "log"
        "os"
)

// Pipeline strings together the given exec.Cmd commands in a similar fashion