ChanYub Park mrchypark

Kubernetes on (vanilla) Raspbian Lite

Yes - you can create a Kubernetes cluster with Raspberry Pis with the default operating system called Raspbian. This means you can carry on using all the tools and packages you're used to with the officially-supported OS.

Pre-reqs:

You must use an RPi 2 or 3 for use with Kubernetes
I'm assuming you're using wired ethernet (Wi-Fi also works, but it's not recommended)

Master node setup

Docker on WSL (Windows 10 Home / Docker Toolbox) (Virtualbox instead Hyper-V)

Docker on WSL communicates with Docker on Windows from Docker Toolbox.

Install VirtualBox and Docker Toolbox on Windows.

Docker on Windows uses VM for Linux based docker containers.

Docker 치트 시트

한국어 번역(초벌) : nacyot

왜 Docker를 사용해야하는가?

Why Should I Care (For Developers)

"나에게 Docker의 매력은 간단히 격리된 환경을 만들 수 있다는 것과, 그러한 환경을 재사용할 수 있다는 점이다."런타임 환경을 한 번 만들어 패키지로 만들면, 이 패키지를 다른 어떤 머신에서도 다시 사용할 수 있다. 또한 여기서 실행되는 모든 것은 마치 가상머신과 같이 호스트로부터 격리되어있다. 무엇보다도 이런 모든 일들이 빠르고 간단히 가능하다.

	# remove sheet protection in Excel
	# Sample file: https://www.dropbox.com/s/4ul0kowrscyr8cz/excel_protected.xlsx?dl=0

	library(stringr)
	library(zip)

	# file with protected sheets
	file <- "data/excel_protected.xlsx"

	# file name and path after removing protection

	#!/bin/bash

	# install CUDA Toolkit v9.0
	# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb)
	CUDA_REPO_PKG="cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64-deb"
	wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/${CUDA_REPO_PKG}
	sudo dpkg -i ${CUDA_REPO_PKG}
	sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub
	sudo apt-get update
	sudo apt-get -y install cuda

	library(shiny)
	library(gsheet)

	# Helper Functions
	read.list <- function(url = "https://docs.google.com/spreadsheets/d/1aJ2Bv8CCR4OhBoVdsQD16OWON89VwuaLYKDDP-OiTG4") {
	as.data.frame(gsheet::gsheet2tbl(url))
	}

	read.data <- function(url) {
	data <- as.data.frame(gsheet::gsheet2tbl(url))


	#########################################
	## GLOBAL REQUIREMENTS AND DEFINITIONS ##
	#########################################
	require(RCurl)
	require(XML)

	loginURL <- "https://accounts.google.com/ServiceLogin"
	authenticateURL <- "https://accounts.google.com/accounts/ServiceLoginAuth"
	insightsURL <- "http://www.google.com/insights/search/overviewReport"

	# -- coding: utf-8 --

	from __future__ import unicode_literals
	from gevent import monkey; monkey.patch_all()

	import re
	from urlparse import urljoin

	from gevent.pool import Pool
	import requests

	"""A simple implementation of a greedy transition-based parser. Released under BSD license."""
	from os import path
	import os
	import sys
	from collections import defaultdict
	import random
	import time
	import pickle

	SHIFT = 0; RIGHT = 1; LEFT = 2;