ruckus

WAL-E needs to be installed on all machines, masters and slaves.

How to install WAL-E

Only one machine, the master, writes WAL segments via continuous archiving. The configuration for the master postgresql.conf is:

archive_mode = on
archive_command = 'envdir /etc/wal-e.d/env wal-e wal-push %p'
archive_timeout = 60

paulharter

importPackage(Packages.com.sk89q.worldedit.blocks);
importPackage(Packages.com.sk89q.worldedit);

//joins up blocks in the dimension dim
function squash(blockarray, dim, arraysize){
	
	var i = new Array();
	var dims = new Array();

	for (var y = 0; y <= arraysize*2; y++){

adrianholovaty

# Two-phased template rendering.
# See http://www.holovaty.com/writing/django-two-phased-rendering/
# LICENSE: Public domain.

################
# TEMPLATE TAG #
################

from django import template
register = template.Library()

spjwebster

#!/usr/bin/env python

import os, sys
sys.path.append(os.getcwd())

import logging
import rq

MAX_FAILURES = 3

jbenet

a simple git branching model (written in 2013)

This is a very simple git workflow. It (and variants) is in use by many people. I settled on it after using it very effectively at Athena. GitHub does something similar; Zach Holman mentioned it in this talk.

Update: Woah, thanks for all the attention. Didn't expect this simple rant to get popular.

elithrar

A quick "how to" on what you need to do to both setup AND recover a single-server PostgreSQL database using WAL-E

• WAL-E: https://github.com/wal-e/wal-e
• Assuming Ubuntu 12.04 LTS ("Precise")
• We'll be using S3. Make sure you have an IAM in a group with GetObject, ListBucket and PutObject on the bucket you want to use (and that it's not public).

Setup:

1. These packages:

jberkus

WITH table_scans as (
    SELECT relid,
        tables.idx_scan + tables.seq_scan as all_scans,
        ( tables.n_tup_ins + tables.n_tup_upd + tables.n_tup_del ) as writes,
                pg_relation_size(relid) as table_size
        FROM pg_stat_user_tables as tables
),
all_writes as (
    SELECT sum(writes) as total_writes
    FROM table_scans

shime

Qlobe

Qlobe is a fascinating example of quine in Ruby, submitted by a member of the Ruby core team - Yusuke Endoh.

Programs that output changed executable versions of themselves while managing to spin the globe and still remaining executable are cool, right?

To experience its magic, run the following

curl -fSSl https://gist.githubusercontent.com/shime/f0ebe84ca42c33b51d42/raw/5e74315dc6b6fe572f8a457536ad7eb17ad3f1e4/qlobe.rb > qlobe.rb; while true; do ruby qlobe.rb | tee temp.rb; sleep 1; mv -f temp.rb qlobe.rb; done

chrismdp

# You don't need Fog in Ruby or some other library to upload to S3 -- shell works perfectly fine
# This is how I upload my new Sol Trader builds (http://soltrader.net)
# Based on a modified script from here: http://tmont.com/blargh/2014/1/uploading-to-s3-in-bash

S3KEY="my aws key"
S3SECRET="my aws secret" # pass these in

function putS3
{
  path=$1

randrews

setmetatable(_ENV, { __index=lpeg })

Scopes = { {} }

function eval_expr(expr)
    local accum = eval(expr[2]) -- because 1 is "expr"
    for i = 3, #expr, 2 do
        local operator = expr[i]
        local num2 = eval(expr[i+1])