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

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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

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docker system prune -a --volumes

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#!/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

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// 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)
    }

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

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

    &--inner {

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#!/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

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sudo find /tmp -type f -atime +10 -delete

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[v-cloak] {
    display: none!important;
}

.cloak-fade:not([v-cloak]) {
    opacity: 0;
    -webkit-animation-name: cloak-fade-in;
    animation-name: cloak-fade-in;
    -webkit-animation-duration: .3s;
    animation-duration: .3s;

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var AWS = require('aws-sdk');
var sqs = new AWS.SQS({
  region: process.env.AWS_REGION
});
var dynamodb = new AWS.DynamoDB();
var REPEAT_THRESHOLD = process.env.REPEAT_THRESHOLD || 20000;

function receiveSQSMessages(callback) {
  var params = {
    QueueUrl: process.env.TASK_QUEUE_URL,