jlis

#!/usr/bin/env python

# Try to determine how much RAM is currently being used per program.
# Note per _program_, not per process. So for example this script
# will report RAM used by all httpd process together. In detail it reports:
# sum(private RAM for program processes) + sum(Shared RAM for program processes)
# The shared RAM is problematic to calculate, and this script automatically
# selects the most accurate method available for your kernel.

# Licence: LGPLv2

jlis

// https://css-tricks.com/building-skeleton-screens-css-custom-properties/

.loading {
    position: relative;
    width: 100%;
    display: block;
    margin: 0 0 10px;
    height: 20px;

    &--inner {

jlis

// from https://reinink.ca/articles/server-side-apps-with-client-side-rendering#turbolinks

require('turbolinks').start()

document.addEventListener('turbolinks:load', (event) => {
    const root = document.getElementById('app')

    if (window.vue) {
        window.vue.$destroy(true)
    }

jlis

#!/usr/bin/env bash

if [ "$1" == "" ]; then
    echo "Usage: ./push_to_new_remote.sh <git folder> <name of the new git remote>"
    exit 1
fi

if [ "$2" == "" ]; then
    echo "Usage: ./push_to_new_remote.sh <git folder> <name of the new git remote>"
    exit 1

jlis

docker system prune -a --volumes

jlis

Automated speedtest using a Raspberry Pi, Cronjobs and Airtables

We're gonna install the Okla Speedtest (speedtest.net) CLI and a write the results into a Airtables table.

Setup

First we're gonna install all required dependecies to run the speedtest CLI.

sudo apt-get install gnupg1 apt-transport-https dirmngr jq

jlis

# this opens a SOCKS tunnel on localhost:1337
ssh -D 1337 -q -C -N <user@host>

jlis

#
# Cookbook Name:: <INSERT COOKBOOK NAME>
# Recipe:: new_relic_agent
#

# Add apt repo
apt_repository 'newrelic' do
  uri 'http://apt.newrelic.com/debian'
  key 'https://download.newrelic.com/548C16BF.gpg'
  components ['non-free']

jlis

# Install asyncssh (https://github.com/ronf/asyncssh) via Pip
pip3 install asyncssh

# Install pproxy (https://github.com/qwj/python-proxy) via Pip
pip3 install pproxy

# Start pproxy to connect to remote host via SSH using username and private key, listening on localhost:8080
pproxy -l http://:8080 -r ssh://<REMOTE HOST IP/HOSTNAME>/#<SSH USER NAME>::<ABSOLUTE PATH TO SSH PRIVATE KEY>

# Start pproxy to connect to remote host via SSH using username and password, listening on localhost:8080