New languages, platforms, and technologies are emerging very rapidly like never before. What software technologies are out there? What is hot right now? Which ones should you learn? This presentation helps you navigate the maze of new technologies out there. We will go through a broad overview of hot technologies in mobile, web, cloud, big data, IoT, and other areas. We will leave with a map of the tech landscape, giving you a starting point to dive deeper into whatever technology interests you!

1. Bazillion New Technologies!
What Should I Study Next?
Ayman Mahfouz
December 2015

2. Presenter
● Vice President, Engineering at Webalo
● Graduate of CS Department 1997
● 15 years developing enterprise software in the US
● PhD in Software Engineering:
– “Requirements-Driven Adaptation of Choreographed Interactions”

3. Why This Topic
Became a manager
Was a developer
Request from students of the department.

4. Agenda
● Programming Languages
● Mobile Development
● Web Development
● Internet of Things
● Big Data
● Cloud Computing
● DevOps

5. Agenda
● Programming Languages
● Mobile Development
● Web Development
● Internet of Things
● Big Data
● Cloud Computing
● DevOps

6. Languages – Multilingual Developers
Source: Developer Insights Report by Application Developers Alliance (research by IDC Research)

7. Languages – Popularity
By activity on GitHub

8. Languages – Popularity
By developer knowledge (IDC survey)

9. Languages – Noteworthy
● Go (Google)
– Efficient compilation, GC, Formal Concurrency
● Rust (Mozilla)
– Safety, Efficient Runtime, No GC, Multi-core
● Erlang
– Event-driven, real-time
● Scala
– Functional, run on the JVM
● R
– Statistical Analysis

10. Languages – JavaScript
● Full-stack
– Client-side
– Server-side (Node.js)
● Sister Languages
– CoffeScript – Cleaner Syntax
– TypeScript – Superset with types
– Dart – Compiles to JS

11. Languages – JavaScript – Node.js
● Features
– Cross-platform runtime
– Google v8 JS engine
– Event-driven
– Non-blocking I/O
● Endless packages *.js
– Portability: Browserify
– Web: Express.js
– Build: Gulp & Grunt
– Promises and Async: many!
● Npm (package manager)

12. Agenda
● Programming Languages
● Mobile Development
● Web Development
● Internet of Things
● Big Data
● Cloud Computing
● DevOps

13. Mobile Dev – Mobile First

14. Mobile Dev – Enterprise Mobility
MDM (Device)
– Provision, Configure, Track
MAM (App)
– Control, Config, Monitor
MAS (Security)
– SSO, VPN, Data Protection
MCM (Collaboration)
– Sharing, Synchronization
EMM
EM
MAD

15. Mobile Dev – Devices in Enterprise

16. Mobile Dev – Cross Platform
● Convert common + write native UI
– J2ObjC
● PhoneGap / Cordova
– HTML 5
– Plugins for platform services
– Ionic for native look
● Scripting with native binding (Lua)
● VM
– Oracle ADF
– Webalo
● Separate code for each platform

17. Mobile Dev – Webalo Approach
● Shared code yet native look and feel.
Webalo Platform – Cross Platform Client Architecture

18. Agenda
● Programming Languages
● Mobile Development
● Web Development
● Internet of Things
● Big Data
● Cloud Computing
● DevOps

19. Agenda
● Programming Languages
● Mobile Development
● Web Development
● Internet of Things
● Big Data
● Cloud Computing
● DevOps

20. Web Dev – Specs
● HTML5
– Video/audio, components, storage, new elements, ...
● CSS3
– Transition, animation, gradients, calc, media queries
● ECMA Script 6
– Classes, types, promises, functional constructs
● Web Components
– Custom elements, shadow DOM, templates, imports
● HTTP 2.0 (to replace SPDY)

21. Web Dev – Responsive Design
● Handling various screen sizes
Twitter Bootstrap grids
Modernizr

22. Quick Quiz
???

23. Web Dev – Approaches
● History
– Request-Response (Plain HTTP)
– Behavior (JavaScript)
– Flash / Applets / SilverLight
– Async request-response (AJAX)
– DOM manipulation (JQuery)
– Templating (Knockout.js, Moustache.js)
– WebSockets
– Single Page Apps (SPA)

24. Web Dev – Single Page App (SPA)
● Features
– Single initial load of all resources (No reload or navigation to
another page)
– Dynamic content fetching (template-based rendering)
– Declarative binding
– Web Components (custom elements)
– Structured (e.g. MVC)
● SPA Frameworks
– Angular.js (All)
– Backbone.js
– Ember.js (Minimal)
– Polymer (Components)
– React.js (UI)

25. Web Dev – MEAN Stack
● JavaScript on server and client
● JSON all the way
● Extensive Node.js plugins
– SASS for CSS: variables, inheritance, readability
– E2E testing (Karma.js, Mocha.js, Jasmine.js)

26. Need a Break?
Question / Comments

27. Agenda
● Programming Languages
● Mobile Development
● Web Development
● Internet of Things
● Big Data
● Cloud Computing
● DevOps

28. IoT – Overview
● Basics
– Integrate physical and digital
– Sensors and actuators embedded in physical objects
– Network-connected (often via IP)
● History
– 1990: Web of information
– 2000: Web of services
– 2010: Web of everything
● Applications
– Safety, streamlined commerce, entertainment, education,
resource conservation, operational efficiency and personal
well-being and many more.

29. IoT – Markets

30. IoT – Applications – Consumer
● Home automation
– Nest thermostat
– Amazon dash button
● Personal health
– Connected medication bottle
– Heart monitor implant
– Wearables
● Wrist bands
● Electronic Socks
● Mobility
– e-Bike

31. IoT – Applications – Business
● Industrial (Machine KPI)
● Healthcare (Patient tracking)
● Aviation (Jet engine maintenance)
● Energy (Windmill efficiency, light control)
● Transportation (Smart trains)

32. IoT – Platforms

33. IoT – Future

34. Agenda
● Programming Languages
● Mobile Development
● Web Development
● Internet of Things
● Big Data
● Cloud Computing
● DevOps

35. Big Data – Overview
Analyze
Very large
datasets
Patterns
Trends
Associations
Infer Predict

36. Big Data – Hadoop

37. Big Data – Hadoop / Yarn

38. Big Data – Streaming

39. Big Data – Streaming

40. Big Data – Spark
● General cluster computing framework
● Multi-stage in-memory processing
● Much faster than Hadoop for some cases
● Batch + Streaming (Lambda Architecture)

41. Big Data – Machine Learning
● Insights into data using various techniques
– Summary statistics
– Correlation
– Clustering
– Regression
– Recommendation

42. Big Data – CAP Theorem
Pick two!

43. Big Data – NoSQL CAP

44. Big Data – NoSQL Types

45. Agenda
● Programming Languages
● Mobile Development
● Web Development
● Internet of Things
● Big Data
● Cloud Computing
● DevOps

46. Cloud – Deployment Models
Virtualization
Multi-tenant QoS
Scalable On-demand

47. Cloud – Service Models

48. Cloud – Providers

49. Cloud – Market Share

50. Cloud – Amazon Web Services

51. Agenda
● Programming Languages
● Mobile Development
● Web Development
● Internet of Things
● Big Data
● Cloud Computing
● DevOps

52. DevOps – Intersection of Dev and IT

53. DevOps – Overview
● Name: Development + Operations
● What it is: Collaboration between developers
and IT operators.
● Goal: Establish an environment where builds
can happen more frequently, rapidly, and
reliably.
● Means:
– Automation (Deployment + Test)
– Agile (Communication + Integration + Culture)
– Modularity (VM + Containers)

54. DevOps – Tools at a Glance
● Setup (Vagrant)
● Config Management (Chef, Puppet)
● Continuous Integration (Jenkins)
● Insights (NewRelic, Loggly, Splunk)
● Containers (Docker)

55. Where to go from here
Manager / Architect
Consultant Domain Expert
Good Developer

56. Discussion
amahfouz@gmail.com
amahfouz@webalo.com
facebook.com/amahfouz
linkedin.com/in/amahfouz
AymanMahfouz.blogspot.com
@aymanstein
slideshare.net/AymanMahfouz