Ulan Sametov usametov

Howdy Y'all! I'm @kordless on YouTube and I occasionally play and stream Rust, the game.

This repo is for deploying a Rust Server running on Google Container Engine. Google has a deal going where you can get $300 of free credits for a year on Google Cloud, so it's a good excuse to signup and run your own server. And no, I don't work for Google!

This deployment uses an image built by @dids, which is hosted on Docker Hub: https://hub.docker.com/r/didstopia/rust-server/

This deployment method can be used to start a small server to play with friends or practice building things. In a few days, I'll update the scripts to include a way to save the content you've created, in-game, with others who can then run their own servers and load your content in to explore it for themselves.

For now, start by navigating to Google Cloud and signup for an account. You'll need to enter some credit card details to get this going, but Google is giving you $300 in credits for the next year. Should be e

Deploying to Elastic Beanstalk via CircleCi 2.0

I got to here after spending hours trying to deploy to an Elastic Beanstalk instance via CircleCi 2.0 so I thought I'd write up what worked for me to hopefully help others. Shout out to RobertoSchneiders who's steps for getting it to work with CircleCi 1.0 were my starting point.

For the record, I'm not the most server-savvy of developers so there may be a better way of doing this.

Setup a user on AWS IAM to use for deployments

Add user here

Machine Learning Repository for SEO

SEO is a field that is rich with data, yet many young SEOs may not be equipped to learn tools that will prepare them for the future. We want to support our community by using our expertise to provide access to more advanced tools that will allow SEOs of all levels to play with the technologies that will shape the future of our work.

Objectives

Provide a repositiory that makes it possible to learn about ML specifically targeted to those interested in SEO
Provide a repository that allows a novice user to run a simple model on something meaningful for SEO.
Provide a repository that allows advanced users to save time on data getting, cleaning, preprocessing, and model selection.
Allow users to showcase work and models developed.
Have users get involved with the future development of the repo.

Kerberos cheatsheet

Bruteforcing

With kerbrute.py:

python kerbrute.py -domain <domain_name> -users <users_file> -passwords <passwords_file> -outputfile <output_file>

With Rubeus version with brute module:

Connecting to a Raspberry Pi through a VPS using a reverse SSH tunnel

SSH (Secure Shell) to a host existing in an internal network through a reverse-tunneled SSH connection to an externally accessible VPS (Virtual Private Server). This setup is described where the internal host is a Raspberry Pi, but can be generalized for any host on the internal network that runs an OpenSSH server.

  internal network                                                   Internet                                       home network
                                              ||                                                         ||
 ------------------                           ||                          ------------------             ||             ------------------
|                  | reverse SSH tunnel (VPS $tunnel_port to Pi port 22) |                  |            ||            |                  |
|   Raspberry Pi     ==================================================>         VPS          ===================

	@startuml
	' uncomment the line below if you're using computer with a retina display
	' skinparam dpi 300
	!define Table(name,desc) class name as "desc" << (T,#FFAAAA) >>
	' we use bold for primary key
	' green color for unique
	' and underscore for not_null
	!define primary_key(x) <b>x</b>
	!define unique(x) <color:green>x</color>
	!define not_null(x) <u>x</u>

	/*
	* The MIT License (MIT)
	* Copyright (c) <2016> <Brickgao>
	*
	* Permission is hereby granted, free of charge, to any person obtaininga
	* copy of this software and associated documentation files (the "Software"),
	* to deal in the Software without restriction, including without limitation
	* the rights to use, copy, modify, merge, publish, distribute, sublicense,
	* and/or sell copies of the Software, and to permit persons to whom the Software
	* is furnished to do so, subject to the following conditions:

	from urllib import request
	import xml.etree.ElementTree as ET

	url = 'http://python-data.dr-chuck.net/comments_24966.xml'
	print ("Retrieving", url)
	html = request.urlopen(url)
	data = html.read()
	print("Retrieved",len(data),"characters")

	tree = ET.fromstring(data)

	;; "human" date/time format parsing

	(def human-time-parser
	(insta/parser
	"S = H (':' M)? ' '? P? (' ' Z)?
	H = #'[1-9]' \| #'1[0-2]'
	M = #'0[0-9]' \| #'[1-5][0-9]'
	P = AM \| PM
	AM = 'A' 'M'?
	PM = 'P' 'M'?

	$INPUTVIDEO='input.mp4'
	$OUTPUTVIDEO='output.mp4'
	ffmpeg -i $INPUTVIDEO -metadata:s:v rotate="-90" -codec copy $OUTPUTVIDEO