in (database) automation we trust

Yaniv Yehuda

In (Database) Automation We Trust

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Before We Begin

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Presenter

Yaniv Yehuda

• CTO, Co-Founder at DBmaestro

About DBmaestro

• Founded in 2008, product launched in 2010

• Founded by Yariv Tabac and Yaniv Yehuda

• Headquartered in Israel, Global Operations

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In Database Automation

We Trust!

(Or do we?)

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• Over 150 Companies

• Over 200 participants

• Continuous Delivery is on the rise!

• Database Automation meets mistrust…

• Why?

• What can be done?

Recently Conducted DBmaestro Survey

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Recently Conducted DBmaestro Survey

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Why automation?

• What is Continuous Delivery?

• Why is it important?

Automation

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Continuous Integration

Continuous Delivery

Continuous Deployment

Automation is the Name of the Game…

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• A process, not a tool…

• Focus on streamlining development

• Developers integrate code into shared repository

• Each check-in is verified

• Automated builds

• Automated tests

• A feedback loop

• High visibility

• Easier & quicker to prevent and find problems,

less back tracks => short integrations

What is Continuous Integration?

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• Next step after continuous integration

• Becoming lean, and even more Agile

• Make sure each change is releasable • Develop-> build-> test-> move to staging-> acceptance test

• Build a process to release with a push of a button• Deploy to production-> test production

• Actual deployment to production is manually

actuated

=> Ensure risk mitigation and high efficiency

And Continuous Delivery?

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• Why is that happening?

Continuous Delivery Moving Ahead!

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• Doing better with less

• Reacting quickly to market needs

• Getting ahead of competition

• Just can’t wait 6 months for that next

release…

• Agile Development

• Process Automation

• DevOps

Living in an Agile world…

Dealing with Risk

Smaller and more focused changes are easier to manage (Agile…) Automation of repeating tasks lowers risk of (human) error Development and Operations should work in synergy (DevOps)

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• Rapid changes• Reacting quickly to market needs

• Getting ahead of competition

• Fewer changes backed out

• Better collaboration

• Fewer defects

• Ultimately better service

• Happy customers

• Profitability

Why Continuous Delivery?

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This is why!

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But…

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• Why not 100%?

• 19% think it is impossible??

• What is so special about the database?

Where is the gap?

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• The database holds your essential information

• Any changes can impact the entire system

• Need to be synchronized with other changes

• Often overlooked

Database is a Key Component

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• There is more to a database than SQL scripts

• Schema structure

• Code

• Content and meta-content

• Internal dependencies

• …

• Ensure that changes are not made without

authorization

• Ensure no out-of-process changes

Reaching Inside the Database

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• Old adage but true

• The database is often neglected and therefore can

become the weakest link

• Essential from a compliance and business point of

view

• Should be the strongest link

The Weakest Link In a Chain

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• Why?

Down from 81% to a HALF?

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• Silos exist…

• Don’t always communicate effectively

• Need to share knowledge

• Need to follow same procedures & best

practices

Developers and DBAs

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• Mistrust…

So why not move forward?

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Lets talk about Mistrust…

“it was difficult to track who made a change to a database object and

what change they made.” (working-around file based version control)

“it took hours to get releases working. some changes were not

documented and left out…” (manual and error prone releases)

“We had multiple releases to production every day. That is one release

a week with multiple follow up fixes, and yet more fixes”(code overrides, partial versions, wrong versions – all pushed to production)

“We recently had a disaster - the script in the version control was not

updated and when executed in production, ran the wrong revision. That

cost tens of thousands of $”(an out-of-process update to QA that was not properly tracked)

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• Root Causes for issues:

• Manual script based version control process

• Deployment tools unaware of version control

• No release automation red-flags…

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Mistrust in version control…

Version Control Process

(file based)

Development Process

Check-Out Script

Modify Script

Get updated Script from DB

Check-In Script

Compile Scriptin DB

Debug Scriptin DB

?

??

?

A

A’

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Scripts & Version Control

Challenges…

• Code-overrides

• Working on the wrong revisions

• Scripts do not always find their way to the version control solution

• Out of process updates go unnoticed

• Hard to locate outdated update scripts

Playing safe? what we really need:

• The actual code of the object

• The upgrade script

• A roll-back script

Scripts

• Hard to test in their entirely (holistically)

• Hard to test due to colliding dependencies

• Need to run in a specific order…

• Much harder to deal with project scope changes

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X1.11.1.11.11.21.31.41.51.61.7

Mistrust in scripting automation…

Int QA Stage Prod

Database Deploy Script

Environment

Re-Base (due to defects)

Dev

Dev

Dev

Model

1.1 1.2

1.2 1.3

1.3 1.4

1.4 1.5

1.5 1.6

1.6 1.7

1.11.11.41.7

1.1 1.2

1.2 1.3

1.3 1.4

1.4 1.5

1.5 1.6

1.6 1.7

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

X

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Scripts are static…

Scripts, unless super sophisticated:

• Unaware of changes made in the target environment

• Time passed from their coding to the time they are run

• Potentially overriding production hot-fixes or work done in parallel by

another team

Content changes are very hard to manage

• Metadata & lookup content does not practically fit into the VC

• In most cases they are simply not managed

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Gaining Trust!

Coordinated Process Traceability

Start in the Beginning

No Out-of-Process Changes

Impact Analysis

Automation

Task Based Development

Well Defined Processes

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Version Control - One Enforced Process

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Dealing with challenges…

Integrated Database Version Control process

• Leverage proven version control best practices

• Forcing check in & out for changes

• Labels

• etc..

• No code-overrides

• Always working with the correct revision

• All changes are documented

• Always know who did what, when, why and from where

• No out-of-process changes

• Supporting structure, code and content

No time spent on manual coding of the change scripts

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Bonus Points

Task based development…

• Correlate each database change with a change request

• Task ID

• Work Item

• Trouble Ticket

• CR

• etc…

…enables task based deployments• Partial deployments (a feature, a collection of bugs, etc…)

• Scope changes easily synced between code and database

For deployment automation we need:

Repeatability & Safety

Using tools make sense …

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1.11.21.31.41.51.61.7

Build & Deploy On Demand

*

Int QA Stage Prod

Database Deploy Script

Environment* Execute the same script being executed at the Stage environment

Re-Base (due to defects)

Dev

Dev

Dev

Model

1.1 1.2

1.2 1.3

1.3 1.4

1.4 1.5

1.5 1.6

1.6 1.7

1.1 1.4

1.4 1.7

1.1.1 1.7

1.1 1.1 1.11.41.7

File Based Version Control

Out of Process Change

1.1.11.7 1.1.11.7

Using tools

Test cases using compare & sync tools:

An index exists in source (QA) but not in target (Production)

What should we do? Add the index or not?

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Compare & Sync tools

Safe to automate?

Sure… (?)

Deployment Automation

An index exists in Target (Production) but not in source (QA)

What should we do? Drop the index or not?

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Compare & Sync tools

Safe to automate?

No. Requires manual inspection…

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Safe?

Simple, right?NO! we are going to BREAK production without even

knowing…

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Why break production???

A compare & sync tool:

• 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

Mistrust AGAIN…

So…no automation… as we fear automating problems into

production and a major risk!!!

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We need to leverage version control

into deployment decisions…

Safety Net For Deployment Automation

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

With Baselines and 3 way analysis the unknown is now known

Simple Compare & Sync Baseline aware Analysis

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Deploying Changes if Needed

Development Baseline

Previous Label /

Production Golden Copy

Production

If we had the index in the baseline =>

we should take it down from production…

(Deploy Change)

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Or Protecting Target Environment…

Development Baseline

Previous Label /

Production Golden Copy

Production

BUT… If no index in baseline =>

we should protect the NEW index on production!!!

(Protect Target)

Deployment Automation

And Merge!!!

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Conflict Resolving – Database Code

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Conflict Resolving – Meta Data/Content

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Impact Analysis

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Impact Analysis! not Damage Control…

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Safety Net For Deployment Automation

Database Safe Deployment Automation:

• Leverages version control (baselines & previous revisions)

• Has a flexible scope (deploy multi schema to single task or work item)

• Can be run as a batch process (repeatable & consistent)

• Integrates to ALM (labels, CRs, Continuous Integration & Delivery)

• Deals with conflicts & merges to match code agility

Can raise red flags to stop the line…

if requires human intervention

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Mistrust

• Database Version control

• Database Automation

Awareness

Summary - What is DBmaestro TeamWork?

• Database Enforced Change Management solution+ Database version control

+ Enforce best practices

+ Plugs into the ALM (change request, tickets & work items)

+ Database merge & change impact analysis

+ Know who can do what, where, when & why

• DevOps Solution for databases + Baseline aware deployment automation, rollback &

recovery

+ Reduce database deployment issues

+ Plugs into release management & Continuous Delivery

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Q & A