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Deploy Django and React APP in a production VPS (Django + React + PostgreSQL + NGINX + Ubuntu Server)

Assuming You have backend and frontend codes in /home/backend and /home/frontend/ (Use git to upload)

Install required Packages from the Ubuntu Repositories

sudo apt-get update
sudo apt-get install python3-pip python3-dev libpq-dev postgresql postgresql-contrib nginx

Sending Bash and ZSH Commands to Syslog

Also posted here: http://18pct.com/sending-bash-and-zsh-commands-to-syslog/

Your bash/zsh history is great if its complete, but it doesn't capture commands across all users, sudo's, root commands etc. In particular with test environments, someone may perform a "one-off" procedure and then months later it needs to be repeated. It would be nice to be able to look up what the user did at the time, and searching through multiple, possibly truncated history files is a pain.

Tools like typescript are great if you're actively documenting, but not something you would use all the time in practice and capture more than just a history of your commands. There are third-party tools like rootsh and Snoopy that can accomplish this, but third-party tools can be overkill if all you want is a quick reference in a re

	#! /usr/bin/env python3.2

	import xml.etree.ElementTree as etree
	import shutil
	import os

	first = 1
	for fileName in os.listdir("."):
	if ".nessus" in fileName:
	print(":: Parsing", fileName)

	FROM alpine:3.8.4

	# Run command
	# docker run -v ${pwd}:/keys -it keygen

	# Do update and install openssh
	RUN apk update
	RUN apk add openssh

	# Create script and folder

	package main

	import (
	"fmt"
	"io"
	"log"
	"os"
	)

	func main() {

	import nimcrypto
	import winim/clr except `[]` # https://s3cur3th1ssh1t.github.io/Playing-with-OffensiveNim/ <-- thank you so much, 2 hours googling I almost went crazy

	#[
	All credit goes to @byt3bl33d3r (OffensiveNim) and @s3cur3th1ssh1t

	nimble install winim nimcrypto zippy
	nim c -d:danger -d:strip --opt:size rsrcDecryptAssembly.nim

	slurp = "staticRead" will read the file and store it in the variable (.rdata) on compile time.

	# Code snippet to convert all .csv files in the current directory to .xlsx files and upload to smartsheet

	import os
	import glob
	import pandas as pd
	import numpy as np
	import smartsheet # Package smartsheek-python-sdk
	import openpyxl

	# Smartsheet Token for use with API