Kristian kristiansaarela

Scaling your API with rate limiters

The following are examples of the four types rate limiters discussed in the accompanying blog post. In the examples below I've used pseudocode-like Ruby, so if you're unfamiliar with Ruby you should be able to easily translate this approach to other languages. Complete examples in Ruby are also provided later in this gist.

In most cases you'll want all these examples to be classes, but I've used simple functions here to keep the code samples brief.

Request rate limiter

This uses a basic token bucket algorithm and relies on the fact that Redis scripts execute atomically. No other operations can run between fetching the count and writing the new count.

JankyBrowser

The only cross-platform browser that fits in a Gist!

One line install. Works on Linux, MacOSX and Windows.

Local Install

$&gt; npm install http://gist.github.com/morganrallen/f07f59802884bcdcad4a/download

Raspberry pi dashboard

This is what we did to setup a few dashboards at platanus

You'll need

Raspberry Pi
Dashing Service
Wifi stick (optional)

WebSockets - An Introduction

WebSockets is a modern HTML5 standard which makes communication between client and server a lot more simpler than ever. We are all familiar with the technology of sockets. Sockets have been fundamental to network communication for a long time but usually the communication over the browser has been restricted. The general restrictions

The server used to have a permanent listener while the client (aka browser) was not designated any fixed listener for a more long term connection. Hence, every communication was restricted to the client demanding and the server responding.
This meant that unless the client requested for a particular resource, the server was unable to push such a resource to the client.
This was detrimental since the client is then forced to check with the server at regular intervals. This meant a lot of libraries focused on optimizing asynchronous calls and identifying the response of asynchronous calls. Notably t

Backend Development

node.js
- Installation paths: use one of these techniques to install node and npm without having to sudo.
- Node.js HOWTO: Install Node+NPM as user (not root) under Unix OSes
- Felix's Node.js Guide
- Creating a REST API using Node.js, Express, and MongoDB
- Node Cellar Sample Application with Backbone.js, Twitter Bootstrap, Node.js, Express, and MongoDB
- JavaScript Event Loop
Node.js for PHP programmers

Backend Development

node.js
- Installation paths: use one of these techniques to install node and npm without having to sudo.
- Node.js HOWTO: Install Node+NPM as user (not root) under Unix OSes
- Felix's Node.js Guide
- Creating a REST API using Node.js, Express, and MongoDB
- Node Cellar Sample Application with Backbone.js, Twitter Bootstrap, Node.js, Express, and MongoDB
- JavaScript Event Loop
Node.js for PHP programmers

Frontend Development

Attention: the list was moved to

https://github.com/dypsilon/frontend-dev-bookmarks

This page is not maintained anymore, please update your bookmarks.

	function createStore (reducers) {
	var state = reducers()
	const store = {
	dispatch: (action) => {
	state = reducers(state, action)
	},
	getState: () => {
	return state
	}
	}

	#!/usr/bin/python2
	# vim: expandtab ts=4 sw=4
	# Inspired by http://www.raspberrypi-spy.co.uk/2015/03/bh1750fvi-i2c-digital-light-intensity-sensor/


	import smbus
	import time

	class BH1750():
	""" Implement BH1750 communication. """

	var define, require;

	(function() {
	var modules = {};

	require = function(name) {
	return modules[name]();
	};

	define = function(name, fn) {