defunkt

# unicorn_rails -c /data/github/current/config/unicorn.rb -E production -D

rails_env = ENV['RAILS_ENV'] || 'production'

# 16 workers and 1 master
worker_processes (rails_env == 'production' ? 16 : 4)

# Load rails+github.git into the master before forking workers
# for super-fast worker spawn times
preload_app true

mislav

connection = Faraday::Connection.new('http://example.com') do |builder|
  builder.request :url_encoded  # for POST/PUT params
  builder.adapter :net_http
end

# same as above, short form:
connection = Faraday.new 'http://example.com'

# GET
connection.get '/posts'

mperham

  desc "convert a latin1 database with utf8 data into proper utf8"
  task :convert_to_utf8 => :environment do
    puts Time.now
    dryrun = ENV['DOIT'] != '1'
    conn = ActiveRecord::Base.connection
    if dryrun
      def conn.run_sql(sql)
        puts(sql)
      end
    else

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

mikhailov

# Nginx+Unicorn best-practices congifuration guide. Heartbleed fixed.
# We use latest stable nginx with fresh **openssl**, **zlib** and **pcre** dependencies.
# Some extra handy modules to use: --with-http_stub_status_module --with-http_gzip_static_module
#
# Deployment structure
#
# SERVER:
#  /etc/init.d/nginx                             (1. nginx)
#  /home/app/public_html/app_production/current  (Capistrano directory)
#

funny-falcon

Changes:

• this version includes backport of Greg Price's patch for speedup startup http://bugs.ruby-lang.org/issues/7158 .

  ruby-core prefers his way to do thing, so that I abandon cached-lp and sorted-lf patches of mine.

• this version integrates 'array as queue' patch, which improves performance when push/shift pattern is heavily used on Array.

  This patch is accepted into trunk for Ruby 2.0 and last possible bug is found by Yui Naruse. It is used in production* for a couple of months without issues even with this bug.

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.

renzok

#!/bin/bash

# Here short description of this script
# This is just a template to be used for writing new bash scripts

###
# Based on Google Style Guide: https://google.github.io/styleguide/shell.xml
# General remarks
# * Executables should have no extension (strongly preferred) or a .sh extension. 
# * Libraries must have a .sh extension and should not be executable