arnolddevos

import Pattern._
import Family._

def pattern[B](pf: PartialFunction[Name,B]) = new Extractor(pf.lift)

val Parents = new Extractor(parents.get)
val Children = new Extractor(children.get)

"Julie" match {
  case Parents(p) => "Julies parents are: " + p

jcroft

// REQUIRED VARS. Defaults to a 950px wide, 24-column grid that has 30px wide units and 10px wide
// gutters. If you do the fluid grid, then this 950/24/30/10px size will become the maximum size.
$grid_type: fixed !default
$grid_columns: 24 !default
$grid_column_width: 30 !default
$grid_gutter_width: 10 !default

// GENERATED VARS. You can ignore these.
$grid_full_width: $grid_columns * $grid_column_width + $grid_columns * $grid_gutter_width - $grid_gutter_width
$grid_column_width_percent: ($grid_column_width / $grid_full_width * 100) * 1%

gseitz

import sbt._
import Keys._


// source of the actual shell modification take from Daniel C. Sobral's gist:
// https://gist.github.com/996474

// prompt looks like:
// $PROJECTNAME:$GITBRANCH>
object ShellPrompt extends Plugin {

tarcieri

# Requires Java! OH NO!
require 'java'
require 'disruptor' # you'll need to snag disruptor.jar

module Warbird
  class Worker
    include com.lmax.disruptor.WorkHandler
    java_import 'java.nio.ByteBuffer'

    def initialize(ring_buffer)

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

hellerbarde

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

deverton

{
    "template": "logstash-*",
    "settings" : {
        "number_of_shards" : 1,
        "number_of_replicas" : 0,
        "index" : {
            "query" : { "default_field" : "@message" },
            "store" : { "compress" : { "stored" : true, "tv": true } }
        }
    },

domenic

This article has been given a more permanent home on my blog. Also, since it was first written, the development of the Promises/A+ specification has made the original emphasis on Promises/A seem somewhat outdated.

You're Missing the Point of Promises

Promises are a software abstraction that makes working with asynchronous operations much more pleasant. In the most basic definition, your code will move from continuation-passing style:

getTweetsFor("domenic", function (err, results) {
 // the rest of your code goes here.

KylePDavis

#!/bin/bash -e
# A SHORT DESCRIPTION OF YOUR SCRIPT GOES HERE
# USAGE:
#    DESCRIPTION OF ENV VARS HERE
###############################################################################
set -e          # exit on command errors (so you MUST handle exit codes properly!)
set -o pipefail # capture fail exit codes in piped commands
#set -x         # execution tracing debug messages

# Get command info

neomatrix369

Everything I Ever Learned About JVM Performance Tuning @Twitter- by Attila Szegedi

http://www.infoq.com/presentations/JVM-Performance-Tuning-twitter (video & slides)

9 Fallacies of Java Performance - by Ben Evans

http://www.infoq.com/articles/9_Fallacies_Java_Performance (video & slides)

Visualizing Java GC - by Ben Evans

http://www.infoq.com/presentations/Visualizing-Java-GC (video & slides)

Java Garbage Collection Distilled by Martin Thompson