Jean-Francis AHANDA jeanfrancis

Setting up a Raspberry Pi as a dashboard server with Dashing

Why the heck did I do this?

I wanted to set up one of my Raspberry Pi's as a data dashboard, pushing sensor data to a web interface that's easy to digest. I decided to use Shopify's Dashing framework. Dashing is based on Sinatra, and is pretty lightweight.

Dashing does require Ruby 1.9.3 to run. In addition, it makes use of the execjs gem, which needs to have a working Javascript interpreter available. Originally, I tried to get therubyracer working, but decided to switch over to Node.js when I ran into roadblocks compiling V8.

One warning: The RPi is a very slow system compared with modern multi-core x86-style systems. It's pretty robust, but compiling all this complex software taxes the system quite a bit. Expect that it's going to take at least half a day to get everything going.

Dashing Map Widget

Live demo: http://dashing-map.herokuapp.com/

Created by: @andmcgregor

About

Uses the Google Maps API to display latitude and longitude coordinates.

Outlook calendar events

Dashing widget to display Outlook calendar events Gets all the events over the next two days, and display the two next ones

Live demo:

http://camilledashing.herokuapp.com/dashboard

General Background and Overview

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.
Models and Issues in Data Stream Systems
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
Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
[Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

	#!/bin/bash

	################################################################################################
	################################################################################################
	################################################################################################
	##
	## Basic Ubuntu 12.04 Unattended Bootstrap for Munin
	##
	## Author: Allan Parsons (allan.parsons@gmail.com)
	##

	1. Download the plugin from: https://github.com/sensu/sensu-community-plugins/blob/master/handlers/remediation/sensu.rb
	2. Create the handler definition:
	{
	"handlers": {
	"remediator": {
	"type": "pipe",
	"command": "/etc/sensu/handlers/remediator.rb"
	}
	}
	}

	{
	"checks": {
	"seyren_check": {
	"command": "/etc/sensu/plugins/check-procs.rb -p PROC",
	"interval": 10,
	"subscribers": ["SUB"],
	"handlers": ["remediator","pagerduty"],
	"occurrences": 1,
	"refresh": 10,
	"remediation": {

	{
	"checks": {
	"check_something": {
	"command": "ps aux \| grep cron",
	"interval": 60,
	"subscribers": ["application_server"],
	"handlers": ["debug", "irc", "remediator"],
	"remediation": {
	"light_remediation": {
	"occurrences": [1, 2],

	import zillabyte
	from twilio.rest import TwilioRestClient

	def send_text(controller, tup):

	# Register twilio client
	twilio_client = TwilioRestClient(tup["twilio_sid"], tup["twilio_auth"])

	try:
	# Send message to recipient and wait 1 second (twilio SMS rate limit)

	import zillabyte

	twilio_sid = "SID_HERE"
	twilio_auth = "AUTH_HERE"

	class TwilioEach:

	def prepare(self, controller):
	# Dictionary of phone numbers subscribed to cities (just for show with small sample, please use a
	# REAL source when using a significant number of phone numbers)