keylase

Strict Flow and GitHub Project Guidelines

Or how to turn this:

into this:

keylase

#!/bin/bash

# Performs a dump of target database and compresses result.
# Outputs to: $DUMPDIR/$DUMPNAME.tar.xz

# Note: Absolute paths are required for use in cron jobs

DBNAME=meteor
ROOTDIR=/Users/alanning/foo
DUMPDIR=$ROOTDIR/dumps

keylase

#!/bin/bash
apt-get -y update
apt-get -y install nginx-extras build-essential libpcre3-dev libssl-dev libgeoip-dev libpq-dev libxslt1-dev libgd2-xpm-dev
wget -c https://openresty.org/download/openresty-1.9.15.1.tar.gz
tar zxvf openresty-1.9.15.1.tar.gz
cd openresty-1.9.15.1

./configure \
--sbin-path=/usr/sbin/nginx \
--conf-path=/etc/nginx/nginx.conf \

keylase

(all instruction need root permission)

0. Create a droplet with Ubuntu 14.04 image

1. wget -q -O - http://multipath-tcp.org/mptcp.gpg.key | sudo apt-key add - 

2. vim /etc/apt/sources.list.d/mptcp.list , add line:
  deb http://multipath-tcp.org/repos/apt/debian trusty main

3. apt-get update && apt-get install linux-mptcp

keylase

A few show tricks to find slow queries in mongodb

Enable profiling

First, you have to enable profiling

> db.setProfilingLevel(1)

Now let it run for a while. It collects the slow queries ( > 100ms) into a capped collections, so queries go in and if it's full, old queries go out, so don't be surprised that it's a moving target...

keylase

#/bin/sh
du -k --max-depth=1 | sort -nr | awk '
     BEGIN {
        split("KB,MB,GB,TB", Units, ",");
     }
     {
        u = 1;
        while ($1 >= 1024) {
           $1 = $1 / 1024;
           u += 1