nolanlawson

Scaling Mastodon down

There is already a guide on scaling your Mastodon server up. This is a short guide on scaling your Mastodon server down.

I.e., maybe you want to run a small instance of <100 active users, and you want to keep your cloud costs reasonable. So you might be running everything on a single machine, with limited memory and CPU. (In my case, I was using a t3.medium instance with 2 vCPUs and 4GB of RAM.) How do you do this?

Note that I'm not a Ruby or Sidekiq expert, and most of this stuff I figured out through trial and error.

waggz81

#!/bin/bash

##########################
# Change these variables #
##########################
FILE="/path/to/console.log"
WEBHOOK_URL="CHANGEME"
STEAMKEY="CHANGEME"
##########################

alexislours

|name= seaweed
|ja-name= ワカメ
|ko-name= 미역
|zh-name= 裙带菜
|fr-name= wakame
|it-name= alga wakame
|es-name= alga wakame
|de-name= Wakame-Alge
|nl-name= zeewier
|ru-name= морские водоросли

spjpgrd

Apps

• Sketch for Mac
• Sketch Mirror on the App Store

Plugins

• Recommended Sketch Plugins
• CSS Specific Sketch Plugins
• Magic Mirror and Magic Presenter

Resources

avafloww

/*<?php
//*/public class PhpJava { public static void main(String[] args) { System.out.printf("/*%s",
//\u000A\u002F\u002A
class PhpJava {
    static function main() {
        echo(//\u000A\u002A\u002F
        "Hello World!");
}}
//\u000A\u002F\u002A
PhpJava::main();

brianckeegan

import numpy as np
import pandas as pd
from bs4 import BeautifulSoup, element
import urllib2, re

# Read the HTML from the webpage on Wikipedia stats and convert to soup
soup = BeautifulSoup(urllib2.urlopen('http://stats.wikimedia.org/EN/TablesWikipediaEN.htm').read())

# Look for all the paragraphs with 2014
_p = soup.findAll('b',text=re.compile('2014'))

lunasorcery

using System;

namespace FortyOneShades
{
	class Program
	{
		static int[] values = new int[]{
			0x276AD9,
			0x3E6FD9,
			0x3A6FDE,

tsiege

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






\

pamelafox

// Includes functions for exporting active sheet or all sheets as JSON object (also Python object syntax compatible).
// Tweak the makePrettyJSON_ function to customize what kind of JSON to export.

var FORMAT_ONELINE   = 'One-line';
var FORMAT_MULTILINE = 'Multi-line';
var FORMAT_PRETTY    = 'Pretty';

var LANGUAGE_JS      = 'JavaScript';
var LANGUAGE_PYTHON  = 'Python';