Filippo Vitale filippovitale

Internet Scale Services Checklist

A checklist for designing and developing internet scale services, inspired by James Hamilton's 2007 paper "On Desgining and Deploying Internet-Scale Services."

http://mvdirona.com/jrh/talksandpapers/jamesrh_lisa.pdf

Basic tenets

Does the design expect failures to happen regularly and handle them gracefully?
Have we kept things as simple as possible?

Introduction to scalaz-stream

Every application ever written can be viewed as some sort of transformation on data. Data can come from different sources, such as a network or a file or user input or the Large Hadron Collider. It can come from many sources all at once to be merged and aggregated in interesting ways, and it can be produced into many different output sinks, such as a network or files or graphical user interfaces. You might produce your output all at once, as a big data dump at the end of the world (right before your program shuts down), or you might produce it more incrementally. Every application fits into this model.

The scalaz-stream project is an attempt to make it easy to construct, test and scale programs that fit within this model (which is to say, everything). It does this by providing an abstraction around a "stream" of data, which is really just this notion of some number of data being sequentially pulled out of some unspecified data source. On top of this abstraction, sca

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EDIT: This gist has been promoted and is now a blog post.

Kinda-Curried Type Parameters

Scala methods can have multiple lists of value parameters but only one list of type parameters, which is occasionally irritating when some are inferable and others are not. Consider this method which has two type parameters, one inferable and one not.

import scalaz._, Scalaz._

Applied Functional Programming with Scala - Notes

1. Mastering Functions

A function is a mapping from one set, called a domain, to another set, called the codomain. A function associates every element in the domain with exactly one element in the codomain. In Scala, both domain and codomain are types.

val square : Int => Int = x => x * x

Advanced Functional Programming with Scala - Notes

1. Mastering Functions

A function is a mapping from one set, called a domain, to another set, called the codomain. A function associates every element in the domain with exactly one element in the codomain. In Scala, both domain and codomain are types.

val square : Int => Int = x => x * x

Moved to https://github.com/kbilsted/Functional-core-imperative-shell/blob/master/README.md

	$ curl http://192.168.1.1/api/device/information
	<?xml version="1.0" encoding="UTF-8"?>
	<response>
	<DeviceName>E303</DeviceName>
	<SerialNumber>K3XBYAxxxxxxxxxx</SerialNumber>
	<Imei>xxxxxxxxxxxxxxx</Imei>
	<Imsi>xxxxxxxxxxxxxxx</Imsi>
	<Iccid>xxxxxxxxxxxxxxxxxxxx</Iccid>
	<Msisdn></Msisdn>
	<HardwareVersion>CH2E303SM</HardwareVersion>

	#!/usr/bin/env python

	"""
	Script to open TCP connection and send 1 HTTP GET request containing
	a specific string, and header

	Usage:
	./http.py <IP_of_target>

	There is only one mandatory argument, which is the target IP address.

	import scalanative.native._
	import SDL._
	import SDLExtra._

	@extern
	@link("SDL2")
	object SDL {
	type Window = CStruct0
	type Renderer = CStruct0