Ninja Webtechnologies. Eray Basar, 9elements

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1 Ninja Webtechnologies Eray Basar, 9elements

2 Webdeveloper vs. Security Engineers

3 Webdeveloper vs. Security Engineers

4 Introduction Past and Present Evolution

5 Past and Present Evolution 9elements Web Hardware

6 Past and Present 9elements 2005 PHP Apache MySQL Actionscript / Flash Javascript C++

7 Past and Present 9elements 2010

8 Past and Present 9elements 2010 Javascript

9 Past and Present 9elements 2010 Javascript JQuery im Frontend

10 Past and Present 9elements 2010 Javascript JQuery im Frontend NodeJS im Backend / Middle-end

11 Past and Present 9elements 2010 Javascript JQuery im Frontend NodeJS im Backend / Middle-end Coffeescript als Abstraktionslayer

12 Past and Present 9elements 2010 Javascript JQuery im Frontend NodeJS im Backend / Middle-end Coffeescript als Abstraktionslayer Objective-C / Cocoa

13 Past and Present 9elements 2010 Javascript JQuery im Frontend NodeJS im Backend / Middle-end Coffeescript als Abstraktionslayer Objective-C / Cocoa Actionscript / FLEX

14 Past and Present 9elements 2010

15 Past and Present 9elements 2010 Ruby

16 Past and Present 9elements 2010 Ruby Rails als Framework

17 Past and Present 9elements 2010 Ruby Rails als Framework HAML / SASS als Abstraktionslayer fuer HTML / CSS

18 Past and Present 9elements 2010 Ruby Rails als Framework HAML / SASS als Abstraktionslayer fuer HTML / CSS Apache, NginX, Lighttp

19 Past and Present 9elements 2010 Ruby Rails als Framework HAML / SASS als Abstraktionslayer fuer HTML / CSS Apache, NginX, Lighttp MySQL, PostGre, MongoDB, CouchDB

20 Past and Present 9elements 2010 Ruby Rails als Framework HAML / SASS als Abstraktionslayer fuer HTML / CSS Apache, NginX, Lighttp MySQL, PostGre, MongoDB, CouchDB C++

21 Hardware Mobile & Embedded Revolution

22 Hardware Mobile & Embedded Revolution

24 von Ray Kurzweil, Age of the Spiritual Machines

26 Past and Present Web 2005

27 Past and Present Web 2005

28 Past and Present Web 2010

29 Past and Present Web 2010

30 Past and Present Web 2010

31 Past and Present Web Platforms 2010

32 Past and Present Web Platforms 2010

33 Anforderungen Adaptivität Platformübergreifend Konnektivität & Shared Data (APIs) Realtime Data Skalierbarkeit Big Data

34 Frontend APIs Backend / Middle-end Database

35 Frontend html5 & javascript

36 Actionscript vs. HTML5

37 Frontend HTML5 & CSS3

38 Frontend HTML5 & CSS3

39 Frontend HTML5 & CSS3

40 PNG Hack

41 APIs Connectivity, Shared Data, Vulnaribily

42 I personally find it disheartening that a protocol handling third-party authentication for the personal data of 400 million users has a section entitled Security Considerations that still only contains the note, Todo. - Joey Tyson, Social Hacking

43 ...big companies act like they all really protect our privacy and such, but they see that people donʼt care and donʼt do anything really. - Vahe G. to techcrunch

44 Backend & Middle-end Javascriptism

45 Javascript Closures & Scopes

46 Ben Nadel Text Text

47 Ben Nadel

48 Meet NodeJS

49 NodeJS Event-basiertes asynchrones IO Läuft auf V8 Javascript stable version: v0.25 (!!) Warum nicht ruby statt Javascript?

50 Warum nicht ruby statt Javascript? Javascript was made for evented IO!

51 Warum nicht ruby statt Javascript? Javascript was made for evented IO!

52 Warum nicht ruby statt Javascript? Javascript was made for evented IO!

53 Beispielanwendung NodeJS Proxy Applikation

54 Beispielanwendung NodeJS Proxy Applikation

55 Beispielanwendung NodeJS Proxy Applikation

56 quo vadis, NodeJS für welche Applikationen interessant? backend? middle-end? scalability?

57 NoSQL Realtime Data, Big Data, Semantic Data

58 NoSQL Cap Theorem Consistency: Alle Nodes greifen auf die selben Daten zu Availibility: Jeder Node kann immer schreiben u. lesen Partition Tolerance: Das System funktioniert trotz des Ausfall von Nodes

59 NoSQL Cap Theorem

61 Key Value & Document Database CouchDB Document

62 Map Reduce für Queries { } id : 1 date : checkout : 100 { } id : 2 date : checkout : 42 { } id : 3 date : checkout : 215 { } id : 4 date : checkout : 73

63 Map Reduce für Queries z.b sum(checkout) { } id : 1 date : checkout : 100 { } id : 2 date : checkout : 42 { } id : 3 date : checkout : 215 { } id : 4 date : checkout : 73

64 Map: emit(checkout) { } id : 1 date : checkout : 100 { } id : 2 date : checkout : 42 { } id : 3 date : checkout : 215 { } id : 4 date : checkout : 73

65 Reduce: sum(checkouts) { } id : 1 date : checkout : 100 { } id : 2 date : checkout : 42 { } id : 3 date : checkout : 215 { } id : 4 date : checkout : 73

66 Reduce: sum(checkouts) { } id : 1 date : checkout : 100 { } id : 2 date : checkout : 42 { } id : 3 date : checkout : 215 { } id : 4 date : checkout : 73

67 Reduce: sum(checkouts) Assoziativgesetz: sum(a + b +c +d) = sum( sum(a+b), sum(c,d) ) { } id : 1 date : checkout : 100 { } id : 2 date : checkout : 42 { } id : 3 date : checkout : 215 { } id : 4 date : checkout : 73

68 Updates in O(log(n)) { } id : 1 date : checkout : 100 { } id : 2 date : checkout : 52 { } id : 3 date : checkout : 215 { } id : 4 date : checkout : 73

69 OMG! It s javascript again!

70 OMG! It s javascript again!

71 OMG! It s javascript again!

72 OMG! It s javascript again!

73 OMG! It s javascript again!

74 Realtime Data, Big Data, Semantic Data Twitter

75 Realtime Data, Big Data, Semantic Data Twitter delivered Tweets per second

76 Realtime Data, Big Data, Semantic Data Twitter delivered Tweets per second 400GB während ich den Vortrag halte

77 Realtime Data, Big Data, Semantic Data Twitter FE: Javascript / Ruby on Rails Middleend: Ruby on Rails / Scala Text BE: Scala, Java, C++ FlockDB for Social Graph, HBase, Cassandra, Pig & Hadoop for Storage and Data Analysis

78 Let s sum up Technologiezyklen verkuerzen sich Spektrum an eingesetzten Technologien erweitert sich horizontal & vertikal immer mehr Middelware, Zwischeninstanzen und Dependencies Einsatz von Technologien < v1.0 Trügerisches Gefuehl der Sicherheit?

79 Danke.

80 Danke.

81 Danke. we re hiring;)

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