Intelligent Platforms: Iterating Beyond Today's PaaS

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Intelligent Platforms: Iterating Beyond Today's PaaS

  1. 1. Intelligent PlatformsIterating beyond today’s PaaS
  2. 2. Great Computing Convergence
  3. 3. Cloud Computing
  4. 4. PaaS v1.0 Multi-Language, Multi-Cloud, etc. BUT Built for scale in terms of users Not suitable for the Big Data WorldExamples: Heroku, Engine Yard, CloudFoundry, Cumulogic, OpenShift, CloudBees, etc.
  5. 5. PaaS v1.0
  6. 6. Social
  7. 7. Understanding SocialSocial is not just relationships andconversationSocial is valuable data
  8. 8. Mobile
  9. 9. Understanding MobileMobile is not just an interfaceMobile is also a sensor or source ofdata
  10. 10. Big Data
  11. 11. If Ballmer Dances Today Data, Data, Data, Data, Data Data, Data, Data, Data, Data
  12. 12. Data Markets
  13. 13. Today
  14. 14. Tomorrow Computing Convergence
  15. 15. How do we go there?
  16. 16. Application Consumption Model No more monolithic applications Web 2.0, Cloud and BYOD Changing Behavior Legacy Apps exist but going away SOA done right?
  17. 17. Today’s App = Composition of Services
  18. 18. Not Exactly, But Well, we still haven’t reached the stage of service consumption But we consume features/functionality on multiple apps, multiple devices, etc Service consumption is the next logical step
  19. 19. Re-Imagine Tomorrow’sAppWhat if the app could take advantage ofthe change in consumption model?all pervasive cloud platforms?wealth of Big Data?
  20. 20. Next-Gen Intelligent Apps Intelligent Apps Data Service Data Service Insights Insights
  21. 21. Thatz a realistic possibility However
  22. 22. Today’s Intelligent Apps Such apps exist today in consumer sector Takes advantage of big data and predictive analytics But it is just a tip of the iceberg Enterprises can take advantage of this in a big way
  23. 23. Some ExamplesNetflixAmazonTraditional US retailers likeTarget, Walmart and othersEtc.
  24. 24. Developing Intelligent Apps How?
  25. 25. Intelligent PlatformsCharacteristics of next-gen platforms: Big Data at the core with a data as aservice component Mobile and Social integrated Polyglot Platforms
  26. 26. Intelligent Platforms
  27. 27. Potential Players PaaS v1.0 Vendors Data Markets Data as a Service Vendors DIY
  28. 28. In The Right Direction Flow.Net (Tibco’s Cloud Cousin)
  29. 29. In The Right DirectionCloudSoft’s Brooklyn Project
  30. 30. In The Right Direction Pervasive Software’s Data Rush and More
  31. 31. Need a Complete Rethink
  32. 32. ConclusionStill in early stagesAny data centric organizationshould be thinking about itI really want to hear frompractitioners in this room on this
  33. 33. BTW, Who Am I?Principal Analyst, Rishidot Research LLCEditor, CloudAve.comEmail: krishnan@krishworld.comTwitter: @krishnanWebsite: www.rishidot.comBlog: www.cloudave.com/author/krishnan/

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