5. PaaS v1.0
Multi-Language, Multi-Cloud, etc. BUT
Built for scale in terms of users
Not suitable for the Big Data World
Examples: Heroku, Engine Yard, CloudFoundry,
Cumulogic, OpenShift, CloudBees, etc.
18. Application Consumption Model
No more monolithic applications
Web 2.0, Cloud and BYOD Changing Behavior
Legacy Apps exist but going away
SOA done right?
20. 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
21. Re-Imagine Tomorrow’s
App
What if the app could take advantage of
the change in consumption model?
all pervasive cloud platforms?
wealth of Big Data?
26. 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
30. Intelligent Platforms
Characteristics of next-gen platforms:
Big Data at the core with a data as a
service component
Mobile and Social integrated
Polyglot Platforms
37. Conclusion
Still in early stages
Any data centric organization
should be thinking about it
I really want to hear from
practitioners in this room on this
38. BTW, Who Am I?
Principal Analyst, Rishidot Research LLC
Editor, CloudAve.com
Email: krishnan@krishworld.com
Twitter: @krishnan
Website: www.rishidot.com
Blog: www.cloudave.com/author/krishnan/