Appengine vs Amazon; pros & cons for startups

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flash slides of "QMining startu empowered by appengine & amazon"
QMining leverage extensivelyappengine & now amazon plateform to speedup its iterative dev process.
This talk will focus on pros & con of appengine (Paas) vs amazon(IaaS).

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Appengine vs Amazon; pros & cons for startups

  1. 1. (preview)francis@qmining.com President & CEO
  2. 2. What do we do? ● Data-Mining ● Machine Learning ● BIGDATA ● Cloud
  3. 3. Startup context● Low resources● Employee cost way more then a service● Yes we know that: ○ appengine is a PaaS (Platform as a service) ○ amazon is more a IaaS (Infrastructure)● But it is 2 alternatives for startups
  4. 4. Subjective: Google bias +10
  5. 5. Python frameworkframework Great (app.yaml) learning curveScore +10 -10
  6. 6. Deploymentdeployment script 173 lines (wrapper on 625 lines (using extensively appcfg.py) boto)deployment time < 1 minutes 2-5 minutesneed a deployment script No YesScore +10 -10
  7. 7. Simple test: load generatorIssues so many limits noneScore -10 +10
  8. 8. ScalingIssue 500 req/sec; low None req/instanceScore -20 +10
  9. 9. PricingIssue not predictable Higher then estimatedScore -20 +10
  10. 10. Support: Multi-tenant/openidIssue None NothingScore +10 0
  11. 11. Support httpsIssue None NothingScore +10 -10
  12. 12. Support: logs, alias & data accessIssue None NothingScore +20 -20
  13. 13. Support BigDataIssue None error loggingScore +10 +10
  14. 14. Conclusion Pros ● framework ● less limits ● deployment ● Scaling ● multi-tenant ● Pricing ● https ● log & data visualisation General Score +20 -20 Prototyping 2 weeks 4 months ProductionThe best of both world might be heroku a Cloud application platform but we havent tried it
  15. 15. You hate your day job? francis@qmining.com President & CEO

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