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# best practice: linux
nano ~/.pgpass
*:5432:*:username:password
chmod 0600 ~/.pgpass

# best practice: windows
edit %APPDATA%\postgresql\pgpass.conf
*:5432:*:username:password

# linux

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# TCP port to bind to
# Change to a high/odd port if this server is exposed to the internet directly
Port 22

# Bind to all interfaces (change to specific interface if needed)
ListenAddress 0.0.0.0

# Force SSHv2 Protocol
Protocol 2

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// General Requires
var express = require('express');
var path = require('path');
var favicon = require('serve-favicon');
var logger = require('morgan');

// Database Requires
var mongo = require('mongodb');
var monk = require('monk');
var dbConfig = require('./db.js');

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import cv2
import numpy as np
#from skimage.measure import compare_ssim
from skimage.metrics import structural_similarity
import click


@click.command()
@click.option("-o" , "--output" , default = None , type=str  ,  help = "Output File")
@click.argument("image1" , type = str)

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#!/usr/bin/env python
import os, os.path, stat, sys, base64

# TOTP lib inlined
import time, hmac, base64, hashlib, struct


def pack_counter(t):
    return struct.pack(">Q", t)

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AWS Presigned URLs

Presigned URLs are useful for fine-grained access control to resources on s3.

For example, if storing larger text blocks than DynamoDB might allow with its 400KB size limits s3 is a useful option.

Ignoring various ACL methods and using presigned URLs, it's possible to create lambda functions that can generate the required upload and download URLs.

Using the default IAM roles and lambda proxy configuration of serverless, lambdas are assigned an IAM role for the application (so that a logical group of functions can share resources - e.g. for a CRUD REST API). Each function then assumes the IAM role via its own function name.

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---
AWSTemplateFormatVersion: "2010-09-09"

Description: Creates a stack containing an IAM role used to grant
  Datadog monitoring access to AWS infrastructures. See
  http://docs.datadoghq.com/integrations/aws/#installation for
  details.

Parameters:
  DatadogAwsAccountId:

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PostgreSQL JSON Cheatsheet

Using JSON in Postgres by example.

Quick setup via Docker

1. Download and install: Docker Toolbox
2. Open Docker Quickstart Terminal
3. Start a new postgres container:
   docker run --name my-postgres -e POSTGRES_PASSWORD=mysecretpassword -d postgres

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#!/bin/sh

# Set up Rails app. Run this script immediately after cloning the codebase.

# Exit if any subcommand fails
set -e

# Copy over configs
if ! [ -f .env ]; then
  cp .sample.env .env