TimurFayruzov

[
  {
    "Name": "Ship Flink runtime to cluster",
    "Path": "s3://<your_bucket>/flink/ship_flink_runtime.sh"
  },
  {
    "Name": "Ship application to cluster",
    "Path": "s3://<your_bucket>/flink/ship_app.sh"
  }
]

mechcozmo

List of IAM Permissions

This is a list of controls that can be placed into an IAM policy document. All content comes from AWS documentation.

Something wrong? Try looking here.

Table of Contents generated with DocToc

• List of IAM Permissions
  • IAM Policy Variables

justmoon

'use strict';

module.exports = function CustomError(message, extra) {
  Error.captureStackTrace(this, this.constructor);
  this.name = this.constructor.name;
  this.message = message;
  this.extra = extra;
};

require('util').inherits(module.exports, Error);

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

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

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

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"

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

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

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