Using Google Cloud Infrastructure for twindly

Google Cloud Infrastructurefor

twindly

ASTRID PARAMITA MOCHTARRAMI. ABIYASA SUHARDI

Saturday, November 22, 14

BEFORE WE START


WHO ARE YOU?

WHY ARE YOU HERE?


THE DREAM


twindly is a web application for beauty geeks

to find their beauty twins anddiscover products and looks


FINDING YOUR BEAUTY TWINS

Photography by Gianni Cumbo (http://www.flickr.com/photos/gianni_cumbo)


http://www.flickr.com/photos/gianni_cumbo

http://www.flickr.com/photos/gianni_cumbo

SOCIAL:connects geek to geek


geek to productsSaturday, November 22, 14

RECOMMENDATIONSaturday, November 22, 14

WHICH ONE SUITS YOU BEST?


WHO ARE WE?


ASTRIDFounder + Dev 1

ABICo-Founder + Dev 2


TAKING OFF


PRE-CLOUD


Pre-Cloud > LAMP Stack


(Hopefully) quicker to prototype

Familiar stack - LAMP(+)



Recommendation implementation

Problems in scaling(-)



Maybe Node.JS?

• (+) Comfortable in node.js

• (-) HeroKu didn’t support Asian region


GOOGLE CLOUD


NO DEVOPS NO PROBLEM?


Google AppEngine

• App Engine (Platform as a Service)

• Supports Java, PHP, Python, Go

• Go !!


AppEngine + Go

• Backend: AppEngine, Go, BeeGo

• Frontend: AngularJS

• Build tools: Grunt, LESS, Twitter Bootstrap

• Database: Google Datastore


Google Startup Package

• For Small Startups

• $20K credits for 1 year for Google Cloud Platform

• Exploring Google Compute Engine


Google Compute Engine + Node.JS

• Go is really nice but we're more productive in Node.js

• Full stack development using JavaScript, sharing codes between server, frontend client, and build tools.

• More libraries (web server, database drivers, frontend)


Google Compute Engine + Node.JS

• (+) More control: install anything, click-to-deploy

• (-) Setting up things manually: scaling, firewall, deployment

• Back then, we didn’t have Managed VM


Current stack

• Backend: Google Compute Engine, Node.js, KrakenJS

• Frontend: Backbone, Marionette

• Build tools: Grunt, LESS, Twitter Bootstrap, Browserify

• Google Datastore and Google Cloud Storage

• GraphDB through Google Compute Engine


RECOMMENDATIONSaturday, November 22, 14

Recommendation ≈ Big Data?


•Google BigQuery: not suitable for twindly’s use case

•Google Prediction API: maybe suitable, for later date

•Apache Mahout: maybe suitable, for later date


SQLNoSQL

GraphDB+ Gremlin


GraphDB : OrientDB | Neo4j

•Limited available library

•Back to node.js

•OrientDB + Docker on Google Compute Engine


CURRENT TWINDLY STACK


WHAT’S NEXT?Saturday, November 22, 14

•Polymer

•Managed VM and Node.js

•Google Container Engine


QUESTIONS

?


Stay in touch :)http://www.twindly.com

Astrid Paramita Mochtarram | @astridparamita

I. Abiyasa Suhardi | @abiyasasuhardi


http://www.twindly.com

http://www.twindly.com

Using Google Cloud Infrastructure for twindly

Technology

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