451 Research: Data Is the Key to Friction in DevOps

3. © 2017 Delphix. All Rights Reserved. Private and Confidential. • Introduction • 451 Research Observations and Findings • Delphix and DataOps • Choice Hotel’s Journey to remove Data Friction in DevOps Agenda 3

5. DevOps means: • Enterprise priority • Faster code releases • Significant code changes • Expectations of improvement • Need for more stakeholders - including dbas and data analytics teams 5

6. Report: Voice of the Enterprise: Cloud Transformation, Vendor Evaluations - Quarterly PowerPoint Charts and Figures Source: 451 Research, Voice of the Enterprise: Cloud Transformation, Vendor Evaluations 2017 Created for Steven Moretti, The 451 Group from IP 144.121.3.150 © 451 Research, 2000- 2017 Q51. Please describe the level of usage within your organization for each of the following technologies.

7. Q15: By what frequency do you deploy code changes or releases? 7 22% 49% 22% 5% 2% Weeks Days Hours Minutes Seconds

8. Size of app changes by industry 16% 5% 9% 21% 20% 8% 67% 63% 76% 59% 64% 75% 17% 32% 15% 21% 16% 17% Total (n=350) High-Tech (n=41) Professional Services (n=33) Healthcare (n=29) SaaS (n=25) Trad. Retail (n=24) 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Large, complex changes Regular, significant changes Small, simple changes Q17. How large/significant are the software application changes that are pushed in your CI/CD workflow?

9. Q16: What factor of performance improvement in time-to-deploy do you expect from your CI/CD implementation? 9 8% 29% 36% 15% 7% 5% 2x 3x 4x 5x More than 5x More than 10x

10. Q25: Beyond IT operations and developers, what stakeholders are involved in your modern IT management or DevOps initiatives and strategies? 10 64% 46% 66% 66% 1% 0% 10% 20% 30% 40% 50% 60% 70% Database administrators and data analytics teams Lines of business managers Technology center of excellence or similar group Security Other (please specify)

11. CLOUD TRANSFORMATION WORKLOADS AND KEY PROJECTS 2017 CLOUD TRANSFORMATION WORKLOADS AND KEY PROJECTS 2017 Q11. Thinking of all the applications your organization runs, what percentage are currently running in the following environments? Q12. Thinking of all the applications your organization runs, what percentage will be running the following environments two years from now? Percent of Workloads Running in Cloud Cloud-Familiar Respondents Using Cloud Computing 11 Source: 451 Research, Voice of the Enterprise: Cloud Transformation, Workloads and Key Projects 2017 45% 24% 42% 28% 58% 38% 62% 43% 55% 37% 64% 49% 6% 7% 13% 14% 11% 15% 11% 14% 15% 17% 15% 16% 7% 12% 8% 9% 5% 6% 6% 8% 6% 10% 6% 9% 6% 11% 20% 27% 14% 21% 14% 20% 8% 10% 6% 11% 36% 46% 18% 23% 11% 20% 7% 15% 17% 27% 10% 16% SaaS IaaS Hosted Private Cloud On-premises Private Cloud Non-Cloud Today In 2 Years Today In 2 Years Today In 2 Years Today In 2 Years Today In 2 Years n=80 n=80 n=164 n=243 Email and Collaborative Web and Media Today In 2 Years Data and Analytics Application Development Business Applications Shared IT Workloads n=118 n=122 n=163 n=74 n=73 n=248 n=375 n=375

13. © 2017 Delphix. All Rights Reserved. Private and Confidential. Massive, Sprawling Datasets Increasing Governance & Risk Enterprise Silos & Manual Process Data-driven Decisions Faster Dev & Deployment Increased Cloud Adoption 13

14. © 2017 Delphix. All Rights Reserved. Private and Confidential. 14 We give enterprises the ability to deliver high quality software at the pace needed to thrive in the Digital Economy. We free builders from the constraints of limited data environments, empowering them with self-service access to real data without jeopardizing security.

15. © 2017 Delphix. All Rights Reserved. Private and Confidential. Critical User Needs in the Modern Enterprise 15 • Protect Sensitive Data • Governance & Compliance • Delivery Automation • Manage Data Sprawl • Reduce Storage Overhead DATA CONSUMERS • Instant Data Access • Personal Environments • Self-Service Controls • Full, Realistic Data • Process & Tool Aligned DATA PROVIDERS

17. Without Delphix

18. Production Development Manual periodic refresh… … with test data added to SIT v79 v79 v79 Git Repo (code + schema changes) +100 rows + v80 v80 v80 v80 Jenkins / build runs schema migration and unit tests Jenkins / build runs schema migration and functional tests, which require test data Destructive testing slowly mutates test database Production deploy Testing

19. … time passes, production data changes and development and testing continue

20. Production Testing Development Another manual refresh… … with test data added to SIT v87 v87 v87 Git Repo (code + schema changes) +100 rows + v88 Jenkins / build runs schema migration and unit tests Jenkins / build runs schema migration and functional tests, which require test data Destructive testing slowly mutates test database v88 v88 v88 Multiple rounds of testing has caused heavy data mutation, putting quality at risk Production deploy

21. With Delphix

22. Production Development DBA sets up Delphix one time, prod now continuously syncs and is masked v79 v79 v79 Git Repo (code + schema changes) +100 rows + v80v80 v80 v80 Jenkins / build refreshes database using Delphix APIs… Jenkins / build runs refreshes database using Delphix APIs… Production deploy … then runs schema migration and unit tests … runs schema migration … inserts test data … and runs functional tests Testing

23. … time passes, production data changes and development and testing continue

24. Production Development v87 v87 v87 Git Repo (code + schema changes) +100 rows + v88 v88 Jenkins / build refreshes database using Delphix APIs… Jenkins / build runs refreshes database using Delphix APIs… Production deploy … then runs schema migration and unit tests … runs schema migration … inserts test data … and runs functional tests v88 v88 Development and testing databases have been kept fresh during iterative development Testing

25. Data Friction in DevOps Page 25

26. Introduction Principal Systems Engineer Choice Hotels Page 26

27. Page 27Page 27 Where We Were

28. Manual steps to configure physical and virtual infrastructure Before 2017 Page 28 VM

29. Choice Private Cloud Introduced in 2014 • Good tool for infrastructure • 98% VMs created with this tool, steady increase year over year Before 2017 Page 29

30. Before 2017 Page 30 Task automation, increase the delivery speed of components VM

31. • Focus on Programmable Infrastructure and Platform – API enabled and Leveraging Jenkins • vRA • Load Balancers • Firewalls (Initial Stages) • Storage • Delphix virtual DB provisioning and management • Increased Programmable Middleware deployment and operation 2017-2018 Page 31

32. 2017-2018 Page 32 Approved Scripts & Pipeline Rest API vRA [vRealize Automation] vRO [vRealize Orchestration] vCENTER VM VM VM VM VM IP Address / DNS Infrastructure Management ADC GREEN = Deployed and functioning ORANGE = Research, Validation, or Configuration Required

33. • Our ultimate goal is to offer ‘IT as a service’ to our Build and Run teams, across the layers of our environments Where Delphix fits in our Environment Strategy Page 33 aPaaS Application Platform as a Service PaaS Platform as a Service IaaS Infrastructure as a Service • Ability spin up an application in a dev/test environment, through automation • Jenkins for continuous integration • Git for code repository • Maven for build automation • …etc. • Ability to spin up middleware and databases in a dev/test environment, through automation • vSphere for… • Python • Delphix • … etc. • Ability to spin up compute, storage and network in a dev/test environment, through automation • vSphere • Puppet/SaltStack • Vagrant • …etc.

34. Data as a Service (DaaS) Page 34 Delphix Company Confidential November 2016 Automation Configuration Machine Virtualization Data Management

35. What are we solving with Delphix? • Choice struggles with the ability to manage test environments & data refreshes • Test data should mirror production data with masked PII & PCI information • Build Leaders would like the ability to access multiple test environments for parallel testing • Environments require multiple copies of the same data, causing over provisioning of resources • Full backups of critical databases can take up to 6 hours and recovery can take up to 9 hours, scripts to mask/cleans data • Backup environment is out of capacity Page 35 Delphix Company Confidential November 2016

36. Solutions to Issues • Pull top 10 databases (CRS, CIS, cA, SmartRates, etc.) into Delphix appliances • Make virtual copies for each tier (DEV, QA, LT, etc.) • Continue to backup production databases with Veritas; leverage Delphix for lower tier backups • Implement data refresh process at the beginning of each cycle for more consistent results in testing • Implement more robust data masking/cleansing process • Teach developers how to rollback changes, reducing dependencies on database administrators Page 36 Delphix Company Confidential November 2016

37. Delphix at Choice Page 37 Delphix Company Confidential November 2016 Masking Engine Source Databases Delphix Engine MSSQL Pre-Provisioning Target Server * Delphix Engine PCI Internal DMZ REG Internal DMZ DEV/QA/LT DMZ MSSQL Informix Oracle Target Databases Source Databases MSSQL Informix Oracle MSSQL Informix Oracle Replication to Non-PCI zone engines

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