Technology Trends for Citizen Services

Prashant Chaudhary Director – Government Business

Centralized Secure Access to Citizen

Application Layer

User Store

Operating System

SQL 2000SunONELDAP

OracleOID

OracleRDBMS

Active Directory

OracleLDAP

CRM Birth HRPartner Extranet edistrictPDS Land Records

Security Layer

Reduced administrative costsReduced development costsSingle sign-on & sign-off for citizens

Faster application deploymentReduced Risk/Increased securityEased regulatory compliance

Employees PartnersCitizens

State Portal - Security Layer

Multifactor Authentication

Existing authentication methodologies involve three basic “factors”

• Something the user knows (e.g., password)

• Something the user has (e.g., ATM card, smart card)

• Something the user is (e.g., biometric characteristic, such as a fingerprint)

Single Secure Credential

Secure eDocument

Strong Authentication

Digital Signing

Payment gateway integration

VPN Login

A Software Development Life Cycle is essentially a series of steps, or phases, that provide a model for the development and lifecycle management of an application or piece of software.

Definition of SDLC (Software Development Life Cycle)

Date App Count Download Count

July 11, 2008 500 0

July 14, 2008 800 10 million

September 9. 2008 3,000 100 million

April 23, 2009 35,000 1 billion

January 22, 2011 350,000 10 billion

June 10, 2013 900,000 50 billion

example: Apple App Store

http://en.wikipedia.org/wiki/App_Store_(iOS)

5 years to 900K apps!

A Typical Distributed Application

Citizen UI Layer

Citizen Services

Integration

Data Center

Back-end AppsMainframe Data Legacy External

ESB

Dev and Ops kept in silos by Release Constraints

Dev Ops

Release

CA Application DeliveryThe 2 C’s of DevOps

Constraint-free Development &Test

Continuous Application Delivery

DevelopmentUnit Test Systems Test SIT

Integration Functional UAT

Functional Regression

Performance Test

Production

Challenges: Constraints of dependent systems needed to

move the SDLC forward Increasing Complexity of today’s

heterogeneous enterprise IT architectures Lack of Collaboration creates scheduling

conflicts and buffers from development through operations

Need Complete visibility into whathappens in production

Accelerating application time-to-marketHow do we increase “touch time” and reduce “idle time”?

the big problem: constraints

INCOMPLETEDEVELOPMENT

SYSTEMUNAVAILABLE

INVALID DATA

ACCESS FEES

“I can’t do anything until I have everything… and I never have everything!”

NETWORK VOLATILITY

The solution: service virtualizationsimulations of everything outside my team’s control

INCOMPLETEDEVELOPMENT

SYSTEMUNAVAILABLE

INVALID DATA

ACCESS FEES

“I have everything I need, when I need it!”

NETWORK VOLATILITY

constraint: infrastructure availability2-infrastructure requirements reduction

AFTERBEFORE

Dev 1-n

Environments not realistic and require manual data and maintenance

Constrained System and complex coordination cycles stunted agility

Contention for access between on-shore and off-shore teams

System access required for any testing

Reduces or eliminates need for enterprise systems (mainframe, CRM, ERP, etc.) in many cases

Several customers have avoided >$10M infrastructure cost by reducing test lab expansion

Integration 1-n

Test 1-n Pre-Prod 1-n

Virtual Environments for Dev/Integration/Test/Pre-Prod

Continuous application deliveryRelease Automation

Minutes

Design Delivery

Days/Weeks

CONTINUOUS DELIVERY

PROD UAT PERFINT SYSDEV

PROD UAT PERFINT SYSDEV

25-50% Reduction in SDLC timeline 60-90% defect “shift left” Lower infrastructure cost

Reduce deployments from weeks to minutes

Automation errors or outages Scale capacity faster

Constraint-free Development Continuous Application DeliveryComplete Monitoring

With APM

Service Virtualization Release Automation

outcomes with DevOpsEnabling the 2Cs of DevOps

Thanks..