Rapidly provisioning fresh copies of SQL databases is required for an effective Dev-Test environment. However, it can be challenging and most organizations take weeks to deliver usable data. Catalogic’s copy data management platform allows for timely, space-efficient, masked SQL DB copies. By doing so, Catalogic satisfies both infrastructure DBAs, who need automated copy provisioning, and application DBAs, who continually need fresh, secure data sets. This webinar will describe five ways Catalogic can help fix SQL Server Dev-Test problems.
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Five Ways to Fix Your SQL Server Dev-Test Problems
1. Five Ways
To Fix Your SQL Server Dev-Test Problems
1
Peter Eicher
Catalogic Director of Marketing
peicher@catalogicsoftware.com
2. 2
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3. A Quick Word About Topic Focus
3
•For a more technical look at
the problem, see last week’s
Oracle webinar
•This week will focus more on
people and process concerns
4. A Look at the Problem
4
The Triangle of
Frustration
Be more agile and strategic!
We need faster development cycles!
But keep costs down!
Business Leaders
Built to optimize costs while
meeting performance goals.
IT Infrastructure Team
Built for performance,
reliability and security
above all.
We don’t have the capacity!
We don’t have the staff!
We don’t have the budget!
We need more systems!
We need more copies!
We need fresher data!
Dev-Test Team
Built for speed and
agility to maximize
revenue & success.
5. 5
Five Ways to
Solve Your SQL
Server Dev-Test
Problems
But remember, there is
no magical solution.
7. Automate the Mundane
• Stop making copies using manual
processes
–Too slow, too prone to error
• Stop using scripts
–Too labor intensive
• With Copy Data Management,
you can bring up copies of data or
entire working environments
automatically
7
9. Unify the Copy Creation and Distribution Process
• Use a single tool across existing
storage and application
infrastructure
• One tool to both create copies and
to deliver them
• Unified process drives efficiencies
and OpEx savings
9
10. 10
Number 3
Let the Developers
Develop
User self-service makes everyone happy
11. Let the Developers Develop with Self-Service
• Consider moving to a self-service
model for copy and system delivery
• Take IT out of the copy process
• Self-service allows developers to
get the data they need, whenever
they need it
• Everyone is happy!
11
13. For Scale, Let Systems Drive Systems
• At a certain level of scale,
management via GUI becomes
impractical
• Modern tools will have APIs that
allow you to take action via code
• This will allow you to easily scale
into hundreds or even thousands
of management nodes, copies,
etc.
13
A Manageable Number of Nodes
A Not-So-Manageable Number of Nodes
15. Real Production Data Results in Better Code
• Auto-generated “synthetic” data
(a.k.a. fake data) never quite
matches the true production
environment
• The result can be code flaws that will
only be exposed when code is
moved to production
• By using true data copies, you help
ensure better results from your Dev
and Test teams
15
Productive Coders Using Real Data
16. What Catalogic ECX Does
16
Automate the Mundane
Catalogic provides complete
copy life cycle automation
Unify the Process
A single tool for application and
hypervisor integration, along with
storage copy creation
Let the Developers Develop
Catalogic provides a user self-
service portal for copy delivery
Move from GUIs to Code
All Catalogic functionality is API-
enabled for infrastructure-as-a-
service
Keepin’ it Real
Catalogic lets you easily use
real production data for
development purposes
17. Automated Test/Dev: Customer Example
17
Customer Challenges
• Manually build VMs, configure storage, network etc.
• Manual monitoring, tracking of test copies
• IT labor-intensive
By the Numbers
No. of servers built/month: 10-15 VMs
Average build time/server: 4 hours
Time spent per month: 40-60 hours
Engineer time/year: 3 months
After Catalogic ECX
• Fully automated with self-service
• Automated monitoring and tracking
By the Numbers
Average build time/server: 2-3 minutes
Time spent per month: 30-45 minutes
Engineer time/year: 6-9 hours
99% Time Savings
Across the Board
18. Support
Pure Storage FlashArray //m Series
Pure Storage FA-400 Series
IBM FlashSystem A9000, V9000
IBM SVC, Storwize
Also: NetApp FAS, EMC Unity
DATABASES
Oracle Physical Servers: Linux, AIX
Oracle Virtual Servers
SQL Server Virtual Servers
Coming Soon
SAP HANA
Epic Cache
SQL Server Physical
A little later
IBM DB2
SAP Oracle
And more…
Licensing
By array, no added charges
No charge for CPUs, VMs, # of DBs, etc.
30 Day Trial
Download and play!
Synthetic data represents an alternative approach in which algorithmically generated test data substitutes for data derived from production sources. On one hand, synthetic data circumvents the security issues involved in distributing "real data" containing potentially sensitive information. On the other hand, it suffers from some of the same shortcomings as subsetting approaches: Even large, intelligently generated datasets fail to adequately cover the data permutations in production sources. There are some cases where synthetic data approaches are required: in situations involving new applications or applications under development, for example, there may not be enough production data from which to derive test data.