The pace of business accelerates fairly continuously and application development moves right with it. But we’re still trying to deploy databases the same way we did 10 years ago. This session addresses the need for changes in organizational structure, process and technology necessary to arrive at a nimble, fast, automatable and continuous database deployment process. We’ll use actual customer case studies to illustrate both the common methods and the unique context that led to a continuous delivery process that is best described as a pipeline. You will learn how to customize common practices and tool sets to build a database deployment pipeline unique to your environment in order to speed your own database delivery while still protecting your organization’s most valuable asset, it’s data.
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Building an Automated Database Deployment Pipeline
1. BUILDING AN AUTOMATED DATABASE
DEPLOYMENT PIPELINE
Grant Fritchey
Red Gate Software
Continuous delivery for databases
2. Goals
Understand the technology and process
requirements to work towards automation step-
by-step in your release pipeline.
Learn about the organizational changes
necessary to support process modifications.
Appreciate why these changes are necessary in
support of modern development and
deployment methodologies.
12. Databases as a bottleneck – historically
Odd languages
SQL
Cubes
X-Query
3 reasons why databases have traditionally slowed down
deployments:
Data persistence
Data outlives
applications
Data can’t be
replaced
DBA paranoia
Frankly…
1 2 3
13. A quick primer on continuous delivery
Common misconception: it’s about automating to Production
14.
15. A quick primer on continuous delivery
Common misconception: it’s about automating to Production
In fact –
there’s a difference between three continuous approaches:
Development
Source
control CI server Test Production
Continuous integration
Continuous deployment
Continuous delivery
16. The goals of continuous delivery for
databases
Faster feedback on changes made
o Continuously integrate team changes
o Automated testing
o Releases rehearsed in testing environments before
deployed to Production
= repeatability, repeatability and
a strong team process for changes
17. Focus on the pipeline
Think of the Toyota production system…
Start with Lean
o Focus on the customer, eliminate waste
o Continuously Improve
o Empower the team
o Optimize the whole
o Plan for change
o Automate processes
o Build quality in
20. Automate builds as first step
o Incremental
o Complete
Build library of manual tests
Automate testsCONTINUOUS
INTEGRATION:
FUNDAMENTALS
Four key stages of the deployment pipeline
21. Select CI tooling
Team discipline
Customization of build steps
Automate the testingCONTINUOUS
INTEGRATION:
ADVANCED
Four key stages of the deployment pipeline
22. Testing
Automation
Safety
o Backups
o Rollback strategyAUTOMATED
DEPLOYMENT
Four key stages of the deployment pipeline
23. Create development environment
for automation
Empower Development
Environment should let them work at their speed
Take part in Development
Instead of stopping bad deployments, stop bad development
Automate your build process
Supply clean production data or supply good sample data
Get started on writing tests
Build your library
24. Different types of testing for different stages of the pipeline:
Development
Integration
Testing QA
Pre-Production/
Staging Production
Automate testing
Unit tests Integration tests
Automated tests
Deployment validation
Behaviour validation
Other validations
30. DBAs must work with Devs…
Yes, you must protect the data for the business, but
that must be tempered with helping deliver functionality.
Changes to philosophy
31. Devs must work with DBAs…
Yes, you may know more about business needs,
so educate rather than isolate.
Changes to philosophy
32. Project Management must think of operations as part
of development…
Yes:
Deployment is part of development
Release 1.1 and on are part of development
o And planning for 1.1 is not premature optimization
Data retention is part of development
Changes to philosophy
34. Changes to workplace for continuous
database delivery
Empower developers to do more
Bring DBAs into development teams
Management must buy-in
Management must get out of the way
36. Case Study: Boxon
Global packaging and labelling company
Based in Sweden; sub-division in China
Three business areas: profitable packing
solutions; intelligent marking; customized
big-bags solutions for bulk handling
One developer responsible for ASP.NET
application with SQL Server backend,
enabling customers to control consistent
printing of labels wherever the print shop
is located in the world
37. Boxon – Initial Process
Deploying to production was scary…
Database changes not version-
controlled
2-hour window - at night - to
complete deployments to production
– difficult to find quiet period with a
global customer base
PAIN
POINTS
38. Boxon – Improved Process
Deployments are less scary now…
Tickets are logged and prioritized in Unfuddle
(unfuddle.com)
Ticket numbers are logged in SVN and
TeamCity to track items
Now use SQL Source Control and Subversion
to version DB changes
o Source of authority on database build
TeamCity (CI build server) is triggered on
check-in of changes
o Fast response – changes checked in frequently
Notification if build fails
Build packaged into a Nuget file for deployment
BUILDING A
PIPELINE
39. Case Study: Move with Us
Risk management solution and
sales and marketing channel
provider for residential property
businesses in the UK
Located near Cambridge, UK
Customers put a heavy load on
databases, so updates need to
be efficient
40. Move with Us – Initial Process
Database code often not checked in
to VCS due to risk of conflicts –
changes were communicated by
email instead
Hot fixes sometimes done directly
on integration server
1 day needed to release updates –
a lot of work in building and testing
Problems with merging code led to
a lot of firefighting
PAIN
POINTS
41. Move with Us – Improved Process
Each developer has a local copy of database
SQL Source Control and Subversion used to
check in database changes to version control
TeamCity (CI build server) automatically
compiles changes on check-in
Successful builds packaged into a Nuget file
automatically
o Fast getting here – multiple database changes
checked in per day
Nuget package deployed to Test on demand
If problems detected, return to Dev to fix
BUILDING A
PIPELINE
42. Case Study: Practice Fusion
Web-based electronic health record
(EHR) company
Founded in 2005
Based in San Francisco
Hosts over 50 million patient records
Used in all 50 states and by 150k+
physicians
3 DBA engineers; 1 data architect;
10+ developers
43. Practice Fusion – Initial Process
Hand-crafted SQL scripts - inconsistent
Database changes not always version
controlled
Changes released by opening dozens
of files in SSMS
Long-winded team comms if further
changes needed
Smoke-testing deployments showed
some objects had been deployed
straight to Prod and weren’t in
deployment script
PAIN
POINTS
44. Practice Fusion – Improved Process
SQL Source Control and Subversion to
version DB changes
o Source of authority on database build
Jenkins (CI build server) is triggered on
check-in of changes
o More time to develop; less time managing scripts
Build failed by Jenkins if problems detected
o Fewer issues deploying to production
Jenkins, SQL Compare and SQL Data
Compare used to deploy changes to
environments
Custom scripts for replication
BUILDING A
PIPELINE
45. Summary
Eliminate or mitigate friction
o Slow is smooth, smooth is
fast
Adopt lean methodologies
and focus
Four key stages
o Source control
o Build automation
o Continuous Integration
o Continous Deployment
A-B-C-D
Change your philosophy
Change your workplace
46. Goals
Understand the technology and process
requirements to work towards automation step-
by-step in your release pipeline.
Learn about the organizational changes
necessary to support process modifications.
Appreciate why these changes are necessary in
support of modern development and
deployment methodologies.
47. Documentation and resources
Continuous Delivery by Jez Humble and David Farley (Addison Wesley)
The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win by
Gene Kim, Kevin Behr and George Spafford (IT Revolution Press)
The Goal: A Process of Ongoing Improvement by Eliyahu M. Goldratt and Jeff Cox
(Gower Publishing Ltd.)
Agile Organization by the agile admin (theagileadmin.com)
Further resources:
Database Delivery Learning program: www.red-gate.com/delivery
o Patterns and practices on Simple-Talk
o Tutorials in Red Gate training academy
www.youtube.com/user/RedGateVideos - for recorded seminars
48. Image sources
Author Source Information
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Original uploader was Liface
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Unported license. Source on Wikimedia Commons: “Transferred from en.wikipedia; transfer was stated to be made by
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publishes it under the following license:GNU head Permission is granted to copy, distribute and/or modify this document
under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software
Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts.
Subject to disclaimers.
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Henry Mühlpfordt Flickr CERN Atlas Control Room 2010-07-01 – Flickr. This file is licensed under the Creative Commons Attribution-ShareAlike 2.0
Generic license.
Department for Business,
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