George S. Patton was an American military leader from 1885-1945. As a general, he led troops during World War II and was known for his leadership skills and strategic abilities. However, the document does not provide any additional context or details about Patton or his military career.

1. -- George S. Patton(1885-1945), American military leader

2. Cloud Evangelist
Speaks on
Cloud Developer’s Camp, Pune, Nov 26 2011

5. 38
 …Alpha dogs
 Who’s listening?
 Challenges of irregular load in applications
 Monolithic Applications deployed on cloud
 The Case for Elastic application architecture
 Basic technologies required for creating Elastic (cloud) applications
 Platform Continuum
 Role of accelerators (aPaaS, bPaaS)
 Some converging trends in cloud computing
 Enhancing Mobility ( + Social Computing + Cloud)
 Enhancing Mobile App capabilities and extending on multiple devices
 Automotive IVI

7. 35
 How many Pre-Sales Developers
 Architects / Developers / PMs ?
 Cloud Architects?
BDMs Architects
 BDMs / BA / Pre-Sales ?
 Startups?
PMs
 Product Org. / Services Org.?

8. for
Elastic
Application
Architecture

9. Challenges of irregular load in applications 32
Allocated Load
IT-capacities Forecast
Not Enough
Power
IT CAPACITY
Too Much
Power
Actual Load
TIME
9

10. for
Elastic
Application
Architecture

11. Monolithic Applications deployed on cloud 29
Extra Large Instance Instance
Super Extra Large
11

12. Elastic Applications (EA) on clouds 23
Micro Micro
Large instance
Instance Instance
Cluster
Elastic Applications = Cloud Services
12

13. "Some of the world's greatest feats were accomplished by people not smart
enough to know they were impossible."
- Unknown (must be an architect!)

14. 19
You manage
Applications Applications Applications Applications
You manage
Data Data Data Data
Managed by multiple vendors
Runtime Runtime Runtime Runtime
Middleware Middleware Middleware Middleware
You manage
Managed by vendor(s)
O/S O/S Managed by vendor O/S O/S
Virtualization Virtualization Virtualization Virtualization
Servers Servers Servers Servers
Storage Storage Storage Storage
Networking Networking Networking Networking

15. 16
SaaS
 Basic Platform as a Service
 Function: Automating the
provisioning and de-provisioning of
the underlying infrastructure Platform as a Service
 Application Platform as a Service
(aPaas) bPaaS
 The SaaS Enablement Layer
 Functions: Metering, Billing, IAM, aPaaS
Integration, Store Front, Tennant
Portals, Integration, etc
PaaS
 Business Platform as a Service
(bPaaS)
 Domain specific platform
 AutoIVI-Cloud-Mobile
 Retail-Social-Mobile-Cloud IaaS
 Network Effects

16. 10
Distributed-Caches are getting infamous for
• No System of Records in caches
• No Eventing or subscriptions to changes in cached data
• No transactions
Erosion Resistance for Web apps’ security issues, OSpatching, library
• Caches can evict (lose) data. Data grids don’t
updates, shifting dependencies, crashing processes, memory leaks, and
even hardware failure by keeping the process instances (dynos) running
unattended literally for years
ExtremelySearch operationscontextthrough(single code base) considerations / d-caching
Non FasterData Integration thruapplication (services) through & grid)
SaaSServices Erosion application-layer load-routing NOSQL Services Orientation
ResilienceScalableChaos Monkey Hadoop/MapReduce requirements distri-“caching”
Reduced through distributedthrough evol. In-memory/data d-datagrids
Web DB/client-serv focusedthrough basedaPaaS Fabric (ESB-on-Cloud architecture)
ImprovedLatency through architecture(near,thruarchitecture concepts architecture
Tenant-context security, classificationServices using
CloudOperations based privacyApp control concepts
Services based Resistance architectural
Configuration based Code-Customization design on-prem Data Services
Dataenablement components and and Heroku

17.  Resilience through Chaos Monkey architectural concepts
 Extremely Scalable distributed application (services) through Services Orientation
 Reduced Latency through context sensitive (near, In-memory/ data grid) distributed
“cacheing”
 Faster Search operations through Hadoop/MapReduce
 Improved Data security, privacy and control through on-premise Data Services
architecture
 Cloud Services Integration through Application Services Fabric (ESB-on-Cloud
architecture)
 Web Services Erosion Resistance through Heroku architecture
 Tenant-context based application-layer load-routing requirements
 Configuration based Code-Customization (single code base) considerations
 SaaS enablement components through aPaaS
 Non-DB/client server focused architecture evolution using NOSQL and distributed
data grids and d-cacheing

18. 8

20. 5
Once upon a time…

21. 3
ANALYTICS SYSTEMS
• Vehicle (condition) Monitoring
• Prognostics
• Advanced Diagnostics/ Remote BUSINESS APPLICATIONS
Vehicle Diagnostics • Customer Support
• SW fault analytics
• Service Data
• Vehicle Repair • Warranty Data
PARTNER & CROSS INDUSTRY
• Police/Emergency
• Weather
• Traffic
• Concierge
• Vehicle Registration Authority
• Bank
• Helpdesk
• Government
• Utilities
• Insurance
PDA
OTHERS
• Geo-Location Based Services
• Real Time Traffic Information
Vehicle to Auto EV/Hybrid • Dynamic Route Guidance
Tolling Vehicle to Vehicle to
Vehicle Charging Roadside Road data

22. 0
"We must open the doors of opportunity. But we must also
equip our people to walk through those doors."
- Lyndon B. Johnson
Questions?
Vikas Gupta
Cloud Strategy Consultant, Evangelist
and Cloud Trainer
Tweets @vikasjee, Lists-ReligionSaaS
eMail: vikasjee@yahoo.com
http://linkd.in/vikasjee
Cell: (+91) 8600 990 398
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