Agile Test Data Automation with CA Automic Service Orchestration and CA Test Data Manager For more information on Automation, please visit: http://ow.ly/9KIP50fQDnh

1. Agile Test Data Automation With
CA Automic Service Orchestration and
CA Test Data Manager
Yann Guernion
AUT45T
AUTOMATION
Product Marketing Director
CA Technologies

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© 2017 CA. All rights reserved. All trademarks referenced herein belong to their respective companies.
The content provided in this CA World 2017 presentation is intended for informational purposes only and does not form any type
of warranty. The information provided by a CA partner and/or CA customer has not been reviewed for accuracy by CA.
For Informational Purposes Only
Terms of this Presentation

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Agenda
THE APPLICATION ECONOMY
THE MODERN SOFTWARE FACTORY
CA TEST DATA MANAGER
MANUAL TESTING APPROACHES
AUTOMATED TESTING APPROACHES
CA AUTOMIC SERVICE ORCHESTRATION
1
2
3
4
5
6

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1 Gartner Forecast: Worldwide Public Cloud Services Forecast 2017
2 Gartner IoT Endpoint Forecast Spending 2017
3 Gartner Predicts 2017: Application Development
Welcome to the
Application Economy
$247B
Public cloud services market
expected to grow 18% in 2017
to $247 billion1
8.4B
8.4 billion connected things will
be in use worldwide in 2017, up
31% from 2016 2
50%By 2020, DevOps initiatives will
cause 50% of enterprises to
implement continuous testing3

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The capabilities you need,
from mobile to mainframe,
to deliver the experiences
customers want.
MAXIMIZE APPLICATION PERFORMANCE
MAKE SECURITY A COMPETITIVE ADVANTAGE
CREATE AN AGILE BUSINESS
BUILD BETTER APPS, FASTER
THE
MODERN
SOFTWARE
FACTORY

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Balancing Today’s Application Demands
Customer needs Moving toward Agile development
Competitive pressures
Digital transformation initiatives
Most testing is manual, not automated
Better test data needed
SHORTENED
RELEASE CYCLES
DEMAND FOR
HIGH QUALITY APPS
Impacts
Customer
Experience
Idea

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Are You Sure Your Testing
Tools and Processes Are
AGILE Enough ?

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Why Worry About Improving the
Testing Processes?
Server Error in ‘/contractor’ Application.
Runtime Error
Compliance/security
Customer satisfaction/quality
Agility/productivity
Cost of operations

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Traditional Approaches for
Managing Test Environments
Request
Infra
Provisioning
Data Copy Data Subset Data Masking Run Tests
Infra
Deprovisioning
Results
Phone call
Email
Ticket
Cloud
VMs
Network
Storage
Database
Middleware
Applications
Localize
Identify
Clone
Extract
Merge
Generate
Identify
Scramble
Sequential
Deploy
Run
Rollback
Refresh
Cloud
VMs
Network
Storage
Database
Middleware
Applications
Phone call
Email
Log Files
Error Prone Manual Operations and Coordination – Need Days / Weeks to Provision Test Environment

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Potential Business Impact
Customer experience is impacted as
defects are detected while in
production
Cannot reach compliance in
regards to new data
protection/privacy regulations
Time to market for new application
features runs behind business
expectations
Skyrocketing costs of operation
due to skilled teams tied up
performing mundane tasks
Increased infrastructure costs
due to out of control test data
storage space requirements

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Automating Test Environments
ITSM
Integration
Self-Service
Full Stack
Provisioning
Test Data
Warehouse
Discrete
Data
Selection
and
Generation
Masking
Engine
Parallel
Workstreams
QA Tools
Integration
Resource
Reclaiming
ITSM
Integration
Self-Service
Results
Infra
Deprovisioning
Run Tests
Data
Masking
Data SubsetData Copy
Infra
Provisioning
Request
Fully Automated Operations – Need Minutes to Provision Test Environment

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Self-service
request
Approval
workflow
Provision
service
components
Close out
change process
Coordination of
existing tools
De-provision
service
components
CA Automic Service Orchestration
 Self-service delivery and coordination across all
teams and tools
 Single point of control for full-stack service delivery
 Rapid, reliable and scalable service delivery
on-prem, in the cloud or hybrid environments
 Assurance of process and configuration
compliance
 Integrates with existing tools to leverage your
operating environment
 Reclaim unused resources as services
to optimize infrastructure

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CA Test Data Manager
• Review data quality and data errors
• Measure coverage and identify gaps
• Discover relationships
• Identify sensitive data across
all systems
• Share data across parallel teams
• Clone data as it’s provisioned
• Enable re-use of testing assets, that can
be built upon existing components
• Provide multiple outsources
with secure data
• Eliminate manual data creation
and masking
• Reduce costs and improve
quality with short but rigorous
test cycles
• Improve test coverage
Data discovery,
modeling,
visualization and
profiling
Data subsetting,
masking and
synthetic data
generation
Test data
warehouse, parallel
work streams

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How it Works
 Video Content
– Self-Service Request
– Service Now Integration
– Copy and Subset Production Data
– Mask Production Data
– Notification of Requester
Automated Test Data Provisioning and Masking

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How it Works
Automated Test Data Cloning and Generation
 Video Content
– Self-Service Request
– Service Now Integration
– Clone Production Data
– Generate Synthetic Data

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Increasing Business Agility – Improving Quality and Compliance
Maintain data privacy
and anonymize data
used for test and
development
Proven Business Value
Top 10 user requested
services fully
automated within just
4 months
Complex service
delivery
reduced from
weeks to minutes

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Summary
A Few Words to Review
90%
Reduction in time needed to generate test data
30%
Increase in IT resource productivity
25%
Reduction in IT project costs
Results
Source Forrester Research CA Test Data Manager
TEI Study (includes customer interviews and comments)

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Questions?

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Stay connected at communities.ca.com
Thank you.

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Automation
For more information on Automation,
please visit: http://cainc.to/CAW17-Automation