| #!/bin/sh | |
| # Copyright (C) 2019 Cloudfence - Julio Camargo | |
| # All rights reserved. | |
| # | |
| # Redistribution and use in source and binary forms, with or without | |
| # modification, are permitted provided that the following conditions are met: | |
| # | |
| # 1. Redistributions of source code must retain the above copyright notice, | |
| # this list of conditions and the following disclaimer. | |
| # 2. Redistributions in binary form must reproduce the above copyright |
| # Make an Ubuntu 22.04 Docker image supporting CUDA and Linux 4 Tegra stuff on | |
| # the nVidia Jetson Nano. I ran this from the final nano Linux 4 Tegra JetPak | |
| # image aka jetson-nano-jp461-sd-card-image.zip which I updated to 4.6.3 | |
| # using apt. -- @gpshead | |
| # | |
| # Is there any real point to doing this? I have no idea. :P | |
| # If you don't care about toying with the GPU stuff, just go install Armbian. | |
| # | |
| # This is based off of the instructions on | |
| # https://github.com/NVIDIA/nvidia-docker/wiki/NVIDIA-Container-Runtime-on-Jetson |
| #!/bin/bash | |
| set -e -o errexit -o pipefail -o nounset | |
| ################################### | |
| # This script can be used by itself, but it's recommended that you read | |
| # a tutorial on Proxmox forum first: https://forum.proxmox.com/threads/hey-proxmox-community-lets-talk-about-resources-isolation.124256/ | |
| ################################### | |
| # Do not modify these variables (set by Proxmox when calling the script) | |
| vmId="$1" |
| #!/bin/bash | |
| # Install Latest XRDP with XORGXRDP and GFX/Glamor server-side acceleration | |
| # Tested on Ubuntu 22.04 LTS | |
| BUILD_DIR=/tmp/xrdpbuild | |
| echo "-> preparing $BUILD_DIR" | |
| rm -f -r $BUILD_DIR | |
| mkdir -p $BUILD_DIR | |
| $ grep -P "^[ABCDEFabcdefOoIi]{6,6}$" /usr/share/dict/words | tr 'OoIi' '0011' | tr '[:lower:]' '[:upper:]' | awk '{print "#" $0}' | |
| #ACAD1A | |
| #B0BB1E | |
| #DEBB1E | |
| #AB1DED | |
| #ACAC1A | |
| #ACCEDE | |
| #AC1D1C | |
| #BAB1ED | |
| #BA0BAB |
| version: '3' | |
| services: | |
| portainer: | |
| image: portainer/portainer-ce:latest | |
| container_name: portainer | |
| restart: unless-stopped | |
| security_opt: | |
| - no-new-privileges:true | |
| volumes: |
| import pandas as pd | |
| import numpy as np | |
| def get_dataset(size): | |
| # Create Fake Dataset | |
| df = pd.DataFrame() | |
| df['size'] = np.random.choice(['big','medium','small'], size) | |
| df['age'] = np.random.randint(1, 50, size) | |
| df['team'] = np.random.choice(['red','blue','yellow','green'], size) | |
| df['win'] = np.random.choice(['yes','no'], size) |
| #!/usr/bin/env python3 | |
| """Command generator for setting DHCP Option 119 | |
| This script converts the specified domain names to DHCP Option 119 | |
| (Domain Search Option) and prints commands for various DHCP servers. | |
| USAGE: | |
| ./dhcp_option119.py DOMAIN ... | |
| EXAMPLE: |
This (and related gists) captures how i created my docker swarm architecture. This is intended mostly for my own notes incase i need to re-creeate anything later! As such expect some typos and possibly even an error...
Each major task has its own gist, this is to help with maitainability long term.
Excerpts from the Proxmox VE Administration Guide]
LVM normally allocates blocks when you create a volume. LVM thin pools instead allocates blocks when they are written. This behaviour is called thin-provisioning, because volumes can be much larger than physically available space.
8.10.2. Trim/Discard It is good practice to run fstrim (discard) regularly on VMs and containers. This releases data blocks that the filesystem isn’t using anymore. It reduces data usage and resource load. Most modern operating systems issue such discard commands to their disks regularly. You only need to ensure that the Virtual Machines enable the disk discard option.