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THE LANDSCAPE HAS CHANGED
The Cloud landscape has changed, from simple infrastructure solution to platform as a
service, abstracting many layers of complexity within a reliable framework. Cloud
services are the best choice to
• Focus on design challenges
• Experiment continuously
• Innovate at speed
• Test Learn Adapt
• Measure everything
• Affordable
• Immediately available
• Provide sufficient abstraction
• Flexible / Scalable
• Accessible / based on standards
EMBRACE THE CLOUD
• Team DevOps mindset
• Discovery / Experiment approach
• Operate on full software stack
• Immediate deploy Æ changes measured in minutes
• Speed up the Development Pipeline
THE PIPELINE
Development
Tools/IDE
Cloud9
Codeanywhere
IntelliJ IDEA
Visual Studio
Notepad / VI
SCM
Github
Bitbucket
AWS CodeCommit
VisualSVN Server
Git / Mercurial on
premise
CI / Deployment
Travis-CI
AWS Code Deploy
AppVeyor
TeamCity
Jenkins
Production
environments
AWS Elastic
Beanstalk
Heroku
AppHarbor
InHouse servers
MACHINE LEARNING IN CLOUD
Requirements
• 0 provisioning time
• Low/No effort in infrastructure management
• Optimized infrastructure uptime
• One-click scaling out
Results
• 1 TB logs
• 25 min processing time
PARALLEL PROCESSING: BACKGROUND Æ #FFFFFF
• 6 nodes EC2
• 100 processes per node
• 37 million files processed
• Exec time 3,5 hours
• no manually-handled errors
• Logs and stats
EC2 instances
RDS DB
Instance
Amazon S3
• Input files
• Output files
• Code repository
Amazon SQS
• Job repository
Challenge: change the background of all the product images in yoox.com from
grey to white
PARTICLE PHOTON OVERVIEW
THE BEGINNING…
PARTICLE PHOTON DEMO

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YOOXlabTechEvent: How Cloud helps Innovation

  • 1.
  • 2. THE LANDSCAPE HAS CHANGED The Cloud landscape has changed, from simple infrastructure solution to platform as a service, abstracting many layers of complexity within a reliable framework. Cloud services are the best choice to • Focus on design challenges • Experiment continuously • Innovate at speed • Test Learn Adapt • Measure everything • Affordable • Immediately available • Provide sufficient abstraction • Flexible / Scalable • Accessible / based on standards
  • 3. EMBRACE THE CLOUD • Team DevOps mindset • Discovery / Experiment approach • Operate on full software stack • Immediate deploy Æ changes measured in minutes • Speed up the Development Pipeline
  • 4. THE PIPELINE Development Tools/IDE Cloud9 Codeanywhere IntelliJ IDEA Visual Studio Notepad / VI SCM Github Bitbucket AWS CodeCommit VisualSVN Server Git / Mercurial on premise CI / Deployment Travis-CI AWS Code Deploy AppVeyor TeamCity Jenkins Production environments AWS Elastic Beanstalk Heroku AppHarbor InHouse servers
  • 5.
  • 6. MACHINE LEARNING IN CLOUD Requirements • 0 provisioning time • Low/No effort in infrastructure management • Optimized infrastructure uptime • One-click scaling out Results • 1 TB logs • 25 min processing time
  • 7. PARALLEL PROCESSING: BACKGROUND Æ #FFFFFF • 6 nodes EC2 • 100 processes per node • 37 million files processed • Exec time 3,5 hours • no manually-handled errors • Logs and stats EC2 instances RDS DB Instance Amazon S3 • Input files • Output files • Code repository Amazon SQS • Job repository Challenge: change the background of all the product images in yoox.com from grey to white