keturn

#!/bin/bash
#
# Add latency to all outgoing traffic on $DEV on tcp/udp $PORT,
# in the amount of $DELAY.
#
# This is matching on both source port and destination port, which
# may hit you twice if you're accessing a local resource.
#
# To see what's currently in effect,
#   tc -s qdisc show dev lo

bkimble

#!/usr/bin/env ruby

# List all keys stored in memcache. 
# Credit to Graham King at http://www.darkcoding.net/software/memcached-list-all-keys/ for the original article on how to get the data from memcache in the first place.

require 'net/telnet'

headings = %w(id expires bytes cache_key)
rows = []

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

wolfg1969

# tunnel - secure tunnel to my vps

description     "ssh tunnel"
 
start on (local-filesystems and network-device-up IFACE!=lo)
stop on runlevel [!12345]
 
respawn
respawn limit 5 60 # respawn max 5 times in 60 seconds
umask 022

ttscoff

#!/usr/bin/ruby
# Convert a Markdown README to HTML with Github Flavored Markdown
# Github and Pygments styles are included in the output
#
# Requirements: json gem (`gem install json`)
#
# Input: STDIN or filename
# Output: STDOUT 
# Arguments: "-c" to copy to clipboard (or "| pbcopy"), or "> filename.html" to output to a file
# cat README.md | flavor > README.html

rafeca

# First, remove the tags from the origin repository
$ git tag -l | grep -e '-[a-zA-Z][0-9]*$' | awk '{ print ":" $1}' | xargs git push origin

# Then, remove the tags locally
$ git tag -l | grep -e '-[a-zA-Z][0-9]*$' | xargs git tag -d

edrabc

#!/usr/bin/env python
""" Test HTTP Server 

This script starts a http server that will respond to HTTP requests
with a predefined response.

Usage:

  ./http_server.py --port=8080 --code=404 --content="Page not Found"

debasishg

General Background and Overview

1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
2. Models and Issues in Data Stream Systems
3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

trevnorris

The prep-script.sh will setup the latest Node and install the latest perf version on your Linux box.

When you want to generate the flame graph, run the following (folder locations taken from install script):

sudo sysctl kernel.kptr_restrict=0
# May also have to do the following:
# (additional reading http://unix.stackexchange.com/questions/14227/do-i-need-root-admin-permissions-to-run-userspace-perf-tool-perf-events-ar )
sudo sysctl kernel.perf_event_paranoid=0

itamarhaber

#!/bin/bash

if [ $# -ne 3 ] 
then
  echo "Delete keys from Redis matching a pattern using SCAN & DEL"
  echo "Usage: $0 <host> <port> <pattern>"
  exit 1
fi

cursor=-1