While IT teams have automated many parts of the application development process, managing data has emerged as the latest constraint holding DevOps teams back, suppressing the pace of innovation delivery. Data provisioning, versioning, and aligning database code with application code are still manual processes that impede the flow of high-quality, secure data to teams that need it most. But it does not have to be that way.

5. APPLICATION
To keep up with the nonstop pace of innovation, organizations are
modernizing application delivery to increase business value.

Automation PipelinesBusiness Drivers

6. Database Deployments
Application Releases
The
Velocity
Gap
The Velocity Gap
#ofReleases
Time

7. Source: https://xebialabs.com/periodic-table-of-devops-tools

8. continuous?
Source Code
Management
Continuous
Integration
Environment
Configuration
Release
Automation
Test
Automation
Design Develop Test Deploy

9. continuous?
Source Code
Management
Continuous
Integration
Environment
Configuration
Release
Automation
Test
Automation
Design Develop Test Deploy

10. Environment
Configuration
Data
Source Code
Management
Continuous
Integration
Release
Automation
Test
Automation
Design Develop Test Deploy

12. DEV PRODSTAGEINT QA
Safely automate database schema changes
• Fast: Provision lightweight, virtual copies of production data in minutes
• Secure: Protect sensitive data from breach and enable regulatory compliance
• Everywhere: Move and manage data in any environment, cloud or on premises
• Faster: Accelerate the application release cycle by 80%
• Safer: Decrease the number of database errors by 90%
• Smarter: Deploy application and database changes in-sync
Secure, on-demand production quality data

13. Manual Data Management
Production
Code
Data
Schema
Code
Data
Schema
Code
Data
Schema
Code
Data
Schema
StagingTestDev
Slow,
error Prone
Many
admins
No version
control
Not
repeatable
Sensitive
data exposed
SLOW
COSTLY
RISKY

14. Production
Code
Data
Schema
Code
Data
Schema
Code
Data
Schema
Code
Data
Schema
StagingTestDev
FAST
EFFICIENT
SECURE
Rapid
deployment
Self
service
Versioned
data & code
Automated Integrated
masking

32.  Reduced product lead
time and eliminate wait-
states
 Increased quality,
success, and employee
satisfaction
 Minimize risk of
disruption by competitors
by accelerating release
cycles
 Enable self-service and
eliminating manual
processes
 Eliminate wait:
 Production data
delivered in
minutes.
 Feedback on
database code in
minutes
 Communicate status to
reduce churn
Faster Development Improve Quality FasterTime to Market Reduce Risk
• Test against production
quality data to ensure quality
• Enforce standards and best
practices on database code
• Simulate changes prior to
release to catch problems
before they become
problems
 Eliminate errors due to
manual configuration and
delivery
 Reduce surface area of
risk and enable
compliance by only
leveraging masked data
in non-production envt’s
 Dry-run the production
push in lower
environments