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PennApps was amazing!
It was awesome hacking with all of you
Craig Slusher
VP Engineering
Who is 50onRed?
We're a fast growing technology "startup"
based in Philly and NYC. Our team is full of
passionate engineer...
What we Do
● We build innovative, high-scale web
monetization platforms that generate
big bucks for digital advertisers an...
99 10 Problems we
● Concurrency
● Parallelism
● Efficient API
consumption
● Cross-browser
compatibility
● Handling high
vo...
Big Data Problems
● High volume traffic (100K+ req/s)
● AWS (ELB, EC2, SQS, S3)
● Edge Caching
● Python vs Java vs NodeJS
...
How we Code
● Developers choose their setup
● Git (Bitbucket)
● Code reviews (pull requests, peer reviews)
● FAST
● A/B Te...
Technologies we Use
How we Deploy
Fabric
We’re hiring Passionate People!
http://50onRed.com/pennapps
pennapps@50onred.com
Thanks!
I’ll be posting this presentation
on our blog - get in touch:
Craig@50onRed.com
50onRed's PennApps Hackathon Presentation
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50onRed's PennApps Hackathon Presentation

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50onRed's VP of Engineering, Craig Slusher, speaks at University of Pennsylvania's PennApps Fall 2013 hackathon. His presentation covers our brand and the innovative technologies that power our online marketing platform.

Published in: Technology, Business
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50onRed's PennApps Hackathon Presentation

  1. 1. PennApps was amazing! It was awesome hacking with all of you
  2. 2. Craig Slusher VP Engineering
  3. 3. Who is 50onRed? We're a fast growing technology "startup" based in Philly and NYC. Our team is full of passionate engineers, hackers, and innovators who have fun and build cool Sh*t!
  4. 4. What we Do ● We build innovative, high-scale web monetization platforms that generate big bucks for digital advertisers and publishers. ● In short, we write software that monetizes web traffic. ● A LOT of web traffic.
  5. 5. 99 10 Problems we ● Concurrency ● Parallelism ● Efficient API consumption ● Cross-browser compatibility ● Handling high volume web traffic ● UX and UI Design ● Product innovation ● Reporting on terabytes of data ● Predicting data trends ● Algorithmic optimization Love to Solve
  6. 6. Big Data Problems ● High volume traffic (100K+ req/s) ● AWS (ELB, EC2, SQS, S3) ● Edge Caching ● Python vs Java vs NodeJS ● MapReduce (EMR, Mortar Data)
  7. 7. How we Code ● Developers choose their setup ● Git (Bitbucket) ● Code reviews (pull requests, peer reviews) ● FAST ● A/B Testing
  8. 8. Technologies we Use
  9. 9. How we Deploy Fabric
  10. 10. We’re hiring Passionate People! http://50onRed.com/pennapps pennapps@50onred.com
  11. 11. Thanks! I’ll be posting this presentation on our blog - get in touch: Craig@50onRed.com

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