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Intelligent Platforms Iterating beyond today’s PaaS

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Page 1: Intelligent Platforms

Intelligent PlatformsIterating beyond today’s PaaS

Page 2: Intelligent Platforms

Great Computing Convergence

Page 3: Intelligent Platforms

Cloud Computing

Page 4: Intelligent Platforms
Page 5: Intelligent Platforms

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.

Page 6: Intelligent Platforms

PaaS v1.0

Page 7: Intelligent Platforms

Social

Page 8: Intelligent Platforms

Understanding Social

Social is not just relationships and conversation

Social is valuable data

Page 9: Intelligent Platforms

Mobile

Page 10: Intelligent Platforms

Understanding Mobile

Mobile is not just an interfaceMobile is also a sensor or source of data

Page 11: Intelligent Platforms

Big Data

Page 12: Intelligent Platforms

If Ballmer Dances Today

Data, Data, Data, Data, Data

Data, Data, Data, Data, Data

Page 13: Intelligent Platforms

Data Markets

Page 14: Intelligent Platforms

Today

Page 15: Intelligent Platforms

Tomorrow

ComputingConvergence

Page 16: Intelligent Platforms

How do we go there?

Page 17: Intelligent Platforms
Page 18: Intelligent Platforms

Application Consumption Model

No more monolithic applications

Web 2.0, Cloud and BYOD Changing Behavior

Legacy Apps exist but going away

SOA done right?

Page 19: Intelligent Platforms

Today’s App = Composition of Services

Page 20: Intelligent Platforms

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

Page 21: Intelligent Platforms

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?

Page 22: Intelligent Platforms

Next-Gen Intelligent Apps

Intelligent AppsIntelligent Apps

InsightsInsights

Data Service

Data Service

Page 23: Intelligent Platforms
Page 24: Intelligent Platforms
Page 25: Intelligent Platforms

Thatz a realistic possibilityHowever

Page 26: Intelligent Platforms

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

Page 27: Intelligent Platforms

Some Examples

NetflixAmazonTraditional US retailers like Target, Walmart and others

Etc.

Page 28: Intelligent Platforms
Page 29: Intelligent Platforms

Developing Intelligent Apps

How?

Page 30: Intelligent Platforms

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

Page 31: Intelligent Platforms

Intelligent Platforms

Page 32: Intelligent Platforms

Potential Players

PaaS v1.0 Vendors

Data Markets

Data as a Service Vendors

DIY

Page 33: Intelligent Platforms

In The Right Direction

Flow.Net

(Tibco’s Cloud Cousin)

Page 34: Intelligent Platforms

In The Right Direction

CloudSoft’s Brooklyn Project

Page 35: Intelligent Platforms

In The Right Direction

Pervasive Software’s Data Rush and More

Page 36: Intelligent Platforms

Need a Complete Rethink

Page 37: Intelligent Platforms

Conclusion

Still in early stagesAny data centric organization should be thinking about it

I really want to hear from practitioners in this room on this

Page 38: Intelligent Platforms

BTW, Who Am I?

Principal Analyst, Rishidot Research LLC

Editor, CloudAve.com

Email: [email protected]

Twitter: @krishnan

Website: www.rishidot.com

Blog: www.cloudave.com/author/krishnan/