Bazillion New Technologies
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The document discusses various modern technologies that aspiring developers should consider, including programming languages, mobile and web development, IoT, big data, cloud computing, and DevOps. It outlines trends in language popularity, mobile development strategies, web development techniques, and the applications and future of IoT and big data. The presentation aims to guide students in making informed decisions about their areas of study and future careers in technology.
Bazillion New Technologies
- 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
- 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