2. https://tinyurl.com/y6spgfwn
Slack Channel –
#jssug #sqlhelp #jobhelp #sqlsatjax

3. Please Take Pictures and Post!

4. 501 Legion Charitable Donation
Thank the 501 Legion for Supporting Our Event!
JSSUG Will Match Donations up to $200
Donation Bucket on Registration Table

7. Don’t forget Session Eval’s for Speakers!
Don’t forget Event Evals for xBox Raffle!
Schedule is Online and in GuideBook App

8. Modern Migration Tour Register: https://tinyurl.com/y6qom9n3
When: June 15, 2019
Where: UNF
Sponsored by:
PASS, Microsoft & Intel
In the lead up to SQL Server 2008 end of support, PASS has recruited Sandy—an expert in all things migration—along with an all-star lineup of speakers from Microsoft and Intel®, to smoothly guide you to your final destination—a modern data platform.
Whether you’re interested in moving to an updated on-premises, cloud, or hybrid solution; PASS, Microsoft, Intel®, and Sandy (of course!) have teamed up for a must attend series of webinars, in-person events, and migration resources, dedicated to giving you the tools you need to migrate with confidence.

9. Data DevOps: Top 5 Blockers to Success
unlocking your inner devops jedi
-or-
Data DevOps: Top 5 Blockers to Success
John Welch, Senior VP, Product Engineering

10. John Welch SVP of Product Engineering, SentryOne
Delivering Tools that Make Developer’s Lives Simpler
John leads the development of a suite of data and BI products that make developing, testing, managing, and documenting data solutions faster and more efficient.
John Welch
Community
He was awarded as a Microsoft Most Valued Professional (MVP) due to his commitment to sharing his knowledge with the IT community, and is an SSAS Maestro. John is an experienced speaker, having given presentations at Professional Association for SQL Server (PASS) conferences, the Microsoft Business Intelligence conference, Software Development West (SD West), Software Management Conference (ASM/SM), SQL Bits, and others. He has also contributed to multiple books on SQL Server and business intelligence.
SVP of Product Engineering, SentryOne
Blog:
LinkedIn:
/johncwelch
Twitter:
@john_welch

11. Michael Welch Special Guest Animator Obsessed with Star Wars
Michael’s been a huge Star Wars fan since childhood, watching all the movies and TV shows repeatedly. Demonstrating his good taste, he considers The Empire Strikes Back to be the best of the bunch.
Michael Welch
Combining His Obsessions
He’s also a huge fan of Legos, and has an extensive collection of Star Wars Lego kits. His father may be guilty of enabling his habit. Inspired by the Lego movies, he’s recently begun making his own movies that combine Star Wars and Legos.
Special Guest Animator
Blog:
Nope
LinkedIn:
Twitter:
More of an Instagram person

12. Agenda Why Does DevOps for Data Matter?
A Model for Addressing Roadblocks
The Blockers
And How to Remove Them
Resources

13. What it feels like when your Devops implementation Goes off the rails…
I find your lack of faith disturbing.

14. Why Does DevOps for Data Matter?
8 in 10 managers report that deploying database changes takes longer than application changes, and slows down the process
90% application teams report pressure to release more quickly
43% release applications daily or weekly up from 35% a year ago
92% report difficulties in accelerating database deployment
Based on a survey from Datical, a company that makes database release automation software

15. A DevOps Pipeline Infrastructure as Code Continuous Integration
Testing
Continuous Deployment
Monitoring & Support

16. Handling Roadblocks Principles Practices Challenges Inform Resolve
Principles are the “why”. The fundamental building blocks – the core reason that we do something. Agreement on principles is important.
Practices are the “what” and sometimes the “how”. These are the things that we do that help us fulfill our principles.
Challenges are the “blockers” – the things that prevent us from reaching our goals or meeting our principles. Practices help us address challenges.

17. The Blockers
This Photo by Unknown Author is licensed under CC BY-SA

18. #5 Bad Training No training Not enough training Too much training
Training for the wrong things
Training for the wrong people
This Photo by Unknown Author is licensed under CC BY-SA

19. Unblocking Training Let people learn in the way they prefer
Use JIT, focused training
Encourage people
“There is no comfort in the growth zone, and there is no growth in the comfort zone.”
Training shouldn’t be all about tools
People > Process > Tools

20. Training as a Bridge Include Everyone Break the language barrier
Dev / Data / Ops / Sec
Even leaders
Break the language barrier
DevOps requires “T” people
Bridge the silos
T people – broad skillset with deep specialties
This Photo by Unknown Author is licensed under CC BY-SA

21. #4 Mixing Your Metaphors Treating data like code
Not treating schema like code
This Photo by Unknown Author is licensed under CC BY-NC-ND

22. Unmixing the Metaphors
Schema is easy
Should be treated like any source code
Tools provide easy support for schema “version” updates
Data is hard
Test your updates
Consider roll-forward strategy
Avoid hard deletes
Schema is the interface of the database

23. Roll Forward Deploy Update Identify Issue Create Fix / Patch
Includes schema and data changes
Potentially data migration as well
Deploy Update
Monitoring or automated tests
Customer reported issue
Identify Issue
Update the problematic data
Recreate data
Create Fix / Patch
And the cycle continues

24. As you start to discover your powers…
Never tell me the odds!

25. Not Measuring Progress#3
Not Measuring Progress
Not measuring at all
Measuring the wrong things
Not tying to meaningful outcomes
This Photo by Unknown Author is licensed under CC BY-NC-ND

26. Measuring What Matters
Cycle Time vs. Lead Time
Both are important – lead time is crucial
Availability
Should be getting better over time
Customer Satisfaction
Important to ensure that changes don’t negatively impact it
Deployment Success / Failure Ratio

27. #2 Not Automating Enough Manual Testing Manual Deployment
Manual Monitoring
This Photo by Unknown Author is licensed under CC BY-SA

28. Automate All the Things!
Continuous testing through automation
This includes the data, the schema, and anything that touches the data
Script manual deployment steps
ARM templates, Terraform, Packer help automating infrastructure deployment
Monitoring should alert you to issues
Monitor the application, the database, and the data

29. Not Deploying Frequently#1
Not Deploying Frequently
Not deploying small increments
Stacking changes
Deployment deadlocks
“Big bang” releases
This Photo by Unknown Author is licensed under CC BY-SA-NC

30. Deployment Early and Often
Adopt a continuous deployment model
Use a ring based deployment approach
Use feature flags to control access to in-flight features
Conditional logic that can be controlled from configurations
Think about microservices and immutable deployments

31. Continuous Deployment Example
Includes new data structure
Includes trigger to move data
Deploy Feature (Off)
Standard data migration scripts, SSIS packages, etc.
Batched to avoid performance impacts
Migrate Existing Data
Trigger moves new / modified data
Data exists in two places
Enable For Canaries
Enable For All
Future update removes flag and old code path
Cleans up redundant storage
Remove Flag and Data

32. As you become one with the force…
I’m one with the Force and the Force is with me.

33. DevOps for Data
92% report difficulties in accelerating database deployment
DevOps is popular because it offers enormous benefits to organizations that use it successfully
Time to market, customer responsiveness, etc.
Data is currently a common challenge
There’s significant opportunity for data professionals in resolving this challenge

34. Thank you for attending!
Resources
application-release-cycles-survey-says/
Thank you for attending!
Any Questions?