Automation and Continuous Delivery are at the forefront of software development processes today. However Cindy Bean who's a Sales Engineer for DBMaestro will be coming to talk to us about how databases are being neglected because database code is different, harder to automate, and DBAs just don't seem to trust database automation. This is not surprising when you consider the number of incidents and instances of downtime that were caused by out-of-process updates, code overrides, and other database glitches. In this session, we will explain the options to automate database changes along with the benefits and issues with each option. http://youtu.be/G8KjVabsZ1w

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− Can’t scale, can’t match CD frequency
− Not repeatable, prone to error

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Developer PC
• Get Latest
• Local Development
• Check-In Code
Build Server
• Get Latest
• Compile
• Check-In Binaries
UAT Servers
• Copy Binaries
• Run Auto Tests
Prod Servers
• Copy Binaries
Binaries – Source Control
Repository
Source Code Files –
Source Control Repository
Test Servers
• Copy Binaries
• Run Auto Tests
In Case of Defects: Always Return to Dev

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− Schema structure
− Code
− Content and meta-content
− Internal dependencies
− …
Developer PC
• Get Latest
• Local Development
• Check-In Code
Build Server
• Get Latest
• Compile
• Check-In Binaries
Source Code Files –
Source Control Repository

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−Database change process
−Version control
−No “Out of Process” changes
−No unauthorized changes
−Automate your deployments
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−Scripts
−Compare & Sync Tools
−Database Enforced Source Control

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−One script per object or script per change
−Where to store, filesystem or version control
−How to name files
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−Unaware of changes made in the target environment
−Time passed from their creation until their execution
−Potential to override production hot-fixes & work done by parallel
teams
−Order of script execution (data dependencies)
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−Meta data & lookup content does not fit practically into the version
control
−In most cases, they are simply not managed

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X
1.11.1.11.11.21.31.41.51.61.7
Int QA Pre Prod Prod
Database Deploy Script
Environment
Re-Base (due to defects)
Dev
Dev
Dev
Model
1.1 1.2
1.2 1.3
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1.4 1.5
1.5 1.6
1.6 1.7
1.11.11.41.7
1.1 1.2
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1.4 1.5
1.5 1.6
1.6 1.7
1.1 1.2
1.2 1.3
1.3 1.4
1.4 1.5
1.5 1.6
1.6 1.7
Out of Process
Change
X
X
X
X
X
? 1.1.1
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−Out of process changes
−Parallel development/branching & merging
−Conflicts

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Safe to automate?
Sure…

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Safe to automate?
No. Requires manual inspection…

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Simple, right?
NO! We could BREAK production without even knowing…

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−Is unaware of any changes that occurred before the time it ran
−Has no knowledge of changes that took place at the target environment
−Does not leverage version control for more information
−Unable to deal with conflicts & merges between different teams
−Requires manual inspection
−Requires detailed knowledge regarding each change as part of the process
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Build Server
• Impact Analysis
• Generate Delta Script
• Merge Conflicts
UAT Servers
• Execute SQL Scripts
• Run Auto Tests
Prod Servers
• Execute SQL Scripts
Binaries – Source Control
Repository
Database Source
Control Repository
Test Servers
• Execute SQL Scripts
• Run Auto Tests
In Case of Defects: Return to Dev or Fix Locally and Handle Conflicts
Development
Databases
• Enforced Source Control
• Check-In Database
Changes
Database Deployment Safety Net

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 Database integrated version control
 Plus into ALM systems
 Database change Impact analysis
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−Database version control
−Database change process
−Database deployment automation
−Plugs into ALM and release management for continuous delivery

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− Force check in & out for changes
− Labels, etc.
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Database IDE

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Source vs.
Target
Action
= No Action
≠ ?
Source vs.
Baseline
Target vs.
Baseline
Action
= = No Action
≠ = Deploy Changes
= ≠ Protect Target
≠ ≠ Merge Changes
You do not have all
of the information
Including the Baseline in the impact
analysis identifies conflicts to prevent
code overrides
Simple Compare & Sync
Baseline Aware Analysis
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Development Baseline
Previous Label /
Production Golden Copy
Production
No index in baseline =>
we should protect the NEW index on production!!!
(Protect Target)

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BUT… If we had the index in the baseline =>
we should take it down from production…
(Deploy Change)
Development Baseline
Previous Label /
Production Golden Copy
Production

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−Leverages version control
−Can be run as a batch process
−Integrates to ALM (labels, Continuous Integration & Delivery)
−Deals with conflicts & merges to match code agility
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– Releases can be based on schema/database, labels, objects, tasks
– Continuous Delivery Pipeline Builder
– Call DBmaestro commands from any release automation tool
– Plugins for popular tools such as Jenkins, CA Release Automation
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– Builds script based on release content
– Eliminates manual editing of scripts when a release changes scope
– Includes object dependencies in correct order

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 Define a process
 Automate the process
 Prevent/Alert out of process changes

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Select Task with Check-In Select Tasks for Deployment

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Scripts
Compare &
Sync Tools
TeamWork
Database Change Process √
Version Control √ √
No “Out of Process” Changes √
Automate Your Deployment √ (√) √

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Q & A
Cindy Bean
cindyb@dbmaestro.com
sales@dbmaestro.com