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Cloud App Develop
This document provides an overview of developing cloud applications with NodeJS. It discusses using NodeJS with AWS EC2 and MongoDB for the development stack. Popular NodeJS libraries like ExpressJS are mentioned. CoffeeScript is highlighted for writing less code. MongoDB is covered for its document-based and scalable features. Tools like Git, Sublime Text 2, Grunt, and Jenkins are presented for version control, coding, automation, and continuous integration. Lastly, it notes how server and mobile developers can cooperate by dividing work and designing APIs.
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Cloud App Develop
- 1. CLOUD APP DEVELOP withNodeJS
- 2. About Me • JAVA •iOS • F2E / NodeJS • French Bulldog http://ppt.cc/QNfH Fin Chen
- 3. This Talk isAbout • How to build up a NodeJS service • A basic introduction to the tools I used • How server and mobile developers cooperate
- 4. This Talk isNOT About • How to write Javascript • How to write iOS App • ... and any technical details
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- 8. Development Stack • AWSEC2 • NodeJS (with CoffeeScript) • MongoDB • Git • Sublime Text2 • Grunt • Jenkins
- 9. AWS EC2 • Elasticcompute cloud web service • Free Tier for the first year • Need to be familiar with command line
- 10. NodeJS highlights • UsesJAVASCRIPT • Event-driven • Non-blocking • NodeJS Package Management Tool: NPM • Big open source community
- 11. Why NodeJS? • Streamlinesbackend/frontend development • Best for (soft) real-time web application • Natively compatible with JSON • Can be a web container itself • Scalable
- 12. Why not NodeJS •Still in early development age • Not enough high-level abstraction library • CPU intensive jobs
- 13. Who is usingNodeJS?
- 14. • http://nodejs.org/api/ • http://github.com/joyent/node •http://nodejs.tw/ • http://www.nodebeginner.org/index-zh- tw.html#javascript-and-nodejs • https://www.facebook.com/groups/ node.js.tw Resources
- 15. Commonly Used Libraries •ExpressJS / MeteorJS • PassportJS • Mocha • Async • Mongoose • node-inspector • nodemon • forever
- 16. CoffeeScript • Compiles intojavascript • Write less, do more • Easier class, inheritance • Source Map Support (new!)
- 17. MongoDB Highlights • DocumentBased • High Availability • Scalability • Data stores in BSON format • Javascript-like function call
- 18. Why MongoDB? • BigData • Dynamic Schema • Real-Time • Geospatial Capabilities • Easy to scale (Sharding/Replica/HA)
- 19. Why Not MongoDB? •Atomic transactions only at document level • No complex querying (e.g. no join) • Data size higher • Needs more RAM for indexing
- 20. Who is usingMongoDB http://www.mongodb.org/about/production-deployments/
- 21. Git • Distributed versioncontrol • Github / Bitbucket • Working offline • Collaboration
- 22. Sublime Text2 • Texteditor for Programmers • Syntax highlights for various languages • Code autocompletion • Plug-ins (git, coffeescript, emmet) • Flexible layout
- 23. Grunt • Javascript taskrunner aka. automation/build tool • minification / compilation: uglifyjs • unit testing: mocha • validation: jslint • documentation: docco • deploy
- 24. Jenkins • Continous IntegrationServer • Build newest code periodically • Run Tests & Code Analysis
- 25. Working with Mobile •Divide and Conquer • Prototyping • API Designing • Test Server
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