rnewson

# Bind SSL port with PFS-enabling cipher suite
bind :443 ssl crt path_to_certificate no-tls-tickets ciphers ECDHE-RSA-AES128-GCM-SHA256:ECDHE-RSA-AES256-GCM-SHA384:ECDHE-RSA-AES128-SHA256:ECDHE-RSA-AES128-SHA:ECDHE-RSA-AES256-SHA384:ECDHE-RSA-AES256-SHA:AES128-GCM-SHA256:AES256-GCM-SHA384:AES128-GCM-SHA384:AES128-SHA256:AES128-SHA:AES256-SHA256:AES256-SHA:!MD5:!aNULL:!DH:!RC4

# Distinguish between secure and insecure requests
acl secure dst_port eq 443

# Mark all cookies as secure if sent over SSL
rsprep ^Set-Cookie:\ (.*) Set-Cookie:\ \1;\ Secure if secure

# Add the HSTS header with a 1 year max-age

phoet

require 'simplecov'
SimpleCov.command_name "acceptance"

ENV["RAILS_ENV"] ||= 'test'
require File.expand_path("../../config/environment", __FILE__)
require 'rspec/rails'
require 'rspec/autorun'

require 'capybara/rails'
require 'capybara/poltergeist'

kesor

# unicorn

description "unicorn ruby app server"

start on (local-filesystems and net-device-up IFACE=lo and runlevel [2345])
stop on runlevel [!2345]

env WORKDIR=/data
env PIDFILE=/data/tmp/pids/unicorn.pid
env CFGFILE=/data/config/unicorn.rb

halorgium

Actors

• ATOM
• Celluloid
• Akka
  • Handbook
  • Inspirators
  • Book
• Erlang
• Thesis

jstorimer

This is a proof-of-concept of a couple of concurrent data structures written in Ruby.

The implementations are heavily commented for those interested. There are benchmarks (with results) included below. The results are interesting, but, as always, take with a grain of salt.

Data structures

AtomicLinkedQueue is a lock-free queue, built on atomic CAS operations.

roidrage

require 'connection_pool'
require 'redis'
require 'metriks'

class RedisClientWrapper
  def initialize(options)
    @options = options.delete(:pool)
    @pool = ConnectionPool.new(@options) do
      ::Redis.new(options)
    end

raggi

#!/usr/bin/env sh

if ! which md5sum > /dev/null; then
  echo Install md5sum
	exit 1
fi

if ! which curl > /dev/null; then
	echo Install curl
	exit 1

roidrage

class Form
  include ActiveModel::Validations
  extend ActiveModel::Naming

  def self.wraps(model)
    @wraps = model
  end

  def self.model_name
    ActiveModel::Name.new(@wraps.to_s.classify.constantize)

jordansissel

logstash queries graphed with graphite.

Operation: Decouple whisper from graphite.

Method: Create a graphite function that does a date histogram facet query against elasticsearch for a given query string for the time period viewed in the current graph.

Reason: graphite has some awesome math functions. Wouldn't it be cool if we could use those on logstash results?

The screenshot below is using logstash to watch the twitter stream of keywords "iphone" "apple" and "samsung" - then I graph them each, so we get an idea of popularity. As a bonus, I also do a movingAverage() on the iphone curve to show you why this is awesome.

ifesdjeen

# Returns value from hash based on the path
#
# @param hash [Hash] - hash to retrieve values from
# @param path [Array] - non-empty array representing recursive path
#
# @returns [Object] - an object located within an array on the given path
#
# Examples:
#
#    get_in({:a => {:b => {:c => 2}}}, [:a, :b, :c]) # => 2