montanaflynn

package port

import (
	"net"
	"strconv"
)

// New gets an available port
func New() (port int, err error) {

montanaflynn

# Easy way to check for dependencies
checkfor () {
    command -v $1 >/dev/null 2>&1 || { 
        echo >&2 "$1 required"; 
        exit 1; 
    }
}
checkfor "ffmpeg"

montanaflynn

Kong

Kong is a powerful proxy built on nginx. By taking a request and passing it to an upstream server and then returning the result to the client Kong can perform his magic. To know which requests go to which service Kong looks for a Host header to match against. There's a few other ways Kong can match requests to services but for now that's the most basic route. Pun intended.

Start

Assuming everything has been installed and setup, such as dependencies and config files which can be found in the docs, it's time to turn Kong on. The first time Kong runs you'll see some Kong config values and initial migrations to the datastore.

kong start

montanaflynn

function Calculator(num){
 return {
  answer : num ? num : 0,
  equals : function() {
    return this.answer
  },
  add : function(num) {
    this.answer += num ? num : 1
    return this
  },

montanaflynn

// API stuff like routing, etc...
var express = require('express')

// To get the meta data, custom
var getMetaData = require("./meta.js") 

// Create express api and route
express().get('/', function(req, res) {

    // Get the query parameter url

montanaflynn

Ubuntu 14 on AWS GPU instance

Verify You Have a CUDA-Capable GPU

lspci | grep -i nvidia

Souce

• https://no2147483647.wordpress.com/2016/01/16/setup-amazon-aws-gpu-instance-with-mxnet/
• http://tleyden.github.io/blog/2015/11/22/cuda-7-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/

montanaflynn

package main

import (
	"fmt"
	"math/rand"
	"os"
	"time"
)

// Card holds the card suits and types in the deck

montanaflynn

Three steps to viewing docker logs in kibana

1) Save this to ./logstash.conf:

# Docker can send logs in gelf format
input {
  gelf { }
}

montanaflynn

To reproduce Kong's benchmark please follow these instructions.

Create AWS Instances

Spin up three m3.medium EC2 ubuntu 14.04 instances with public DNS enabled and configure them for high network traffic by increasing these limits:

Added fs.file-max=80000 to /etc/sysctl.conf

Added the following lines to /etc/security/limits.conf

montanaflynn

const promise1 = new Promise((resolve, reject) => {
  setTimeout(resolve, 50, 'one');
});

const promise2 = new Promise((resolve, reject) => {
  setTimeout(resolve, 60, 'two');
});

const promise3 = new Promise((resolve, reject) => {
  setTimeout(resolve, 70, 'three');