Bo Qin qboster

Set Up Your Own WireGuard VPN Server on CentOS

This tutorial is going to show you how to set up your own WireGuard VPN server on CentOS. WireGuard is made specifically for the Linux kernel. It runs inside the Linux kernel and allows you to create fast, modern, and secure VPN tunnel. TL;DR

Prerequisites

This tutorial assumes that the VPN server and VPN client are both running CentOS operating system.

Step 1: Install WireGuard on CentOS Server and Desktop

Log into your CentOS server, then run the following commands to install WireGuard.

# CentOS 8

How to install NVIDIA Docker 2 package on Ubuntu and Debian:

If you came to this result (from Google or elsewhere) after realizing that Nvidia-docker's entry on this subject does not result in a working installation, here are the basic steps needed to install this package correctly:

For starters, ensure that you've installed the latest Docker Community edition by following the steps below:

curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo apt-key fingerprint 0EBFCD88

sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"

Multiplatform (`amd64` and `arm`) Kubernetes cluster setup

The official guide for setting up Kubernetes using kubeadm works well for clusters of one architecture. But, the main problem that crops up is the kube-proxy image defaults to the architecture of the master node (where kubeadm was run in the first place).

This causes issues when arm nodes join the cluster, as they will try to execute the amd64 version of kube-proxy, and will fail.

It turns out that the pod running kube-proxy is configured using a DaemonSet. With a small edit to the configuration, it's possible to create multiple DaemonSets—one for each architecture.

Steps

Follow the instructions at https://kubernetes.io/docs/setup/independent/create-cluster-kubeadm/ for setting up the master node. I've been using Weave Net as the network plugin; it see

How to install OpenCV 3.4.1 with CUDA on Ubuntu distro

First of all install update and upgrade your system:

    $ sudo apt-get update
    $ sudo apt-get upgrade

Then, install required libraries:

	package main

	import (
	"context"
	"fmt"
	"log"
	"syscall"
	"time"

	// "github.com/containerd/cgroups/v3"

	#!/bin/bash

	echo "Hidden=true" >> /etc/xdg/autostart/tracker-extract.desktop
	echo "Hidden=true" >> /etc/xdg/autostart/tracker-miner-apps.desktop
	echo "Hidden=true" >> /etc/xdg/autostart/tracker-miner-fs.desktop
	echo "Hidden=true" >> /etc/xdg/autostart/tracker-miner-user-guides.desktop
	echo "Hidden=true" >> /etc/xdg/autostart/tracker-store.desktop

	dbus-launch --exit-with-session gsettings set \
	org.freedesktop.Tracker.Miner.Files crawling-interval -2

	# Inspired by https://github.com/vpenso/ganglia-sensors/blob/master/lib/python_modules/infiniband.py#/

	import logging
	import re
	import sys
	import json
	import time
	import subprocess

	#!/bin/bash
	#
	# script to fully prepare ImageNet dataset

	## 1. Download the data
	# get ILSVRC2012_img_val.tar (about 6.3 GB). MD5: 29b22e2961454d5413ddabcf34fc5622
	# wget https://image-net.org/data/ILSVRC/2012/ILSVRC2012_img_val.tar
	# get ILSVRC2012_img_train.tar (about 138 GB). MD5: 1d675b47d978889d74fa0da5fadfb00e
	# wget https://image-net.org/data/ILSVRC/2012/ILSVRC2012_img_train.tar

	gcc -fpic --shared $(python3-config --includes) greetmodule.c -o greet.abi3.so
	# can also use $(pkg-config --cflags python-3.5)
	# or
	# python3 setup.py install --record files.txt --user

	#!/bin/bash
	# add the GPG key for the official Docker repository to the system
	curl -fsSL https://download.docker.com/linux/ubuntu/gpg \| sudo apt-key add -

	# add the Docker repository to APT sources
	sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"

	# update the package database with the Docker packages from the newly added repo
	sudo apt-get update