For many organizations, database teams are still measured by the number of tickets they close.

100 tickets closed.

50 incidents resolved.

200 change requests completed.

It looks productive.

But it may have very little to do with database reliability.

A database team can close hundreds of tickets every month and still operate a fragile database platform.

The opposite can also be true.

A highly automated and reliable database platform may generate very few tickets.

That does not mean the DBA team is less valuable.

It means the platform is working.

The Wrong Question

Traditional IT management often asks:

How many tickets did the DBA team close?

A better question is:

How reliable is the database platform?

These are fundamentally different ways of measuring performance.

Consider two database teams.

Team A

• 1,000 tickets per month
• frequent manual interventions
• regular production incidents
• manual backups
• manual provisioning
• repeated operational problems

Team B

• 150 tickets per month
• automated provisioning
• automated monitoring
• tested backups
• automated failover
• standardized configurations
• very few production incidents

If productivity is measured by tickets, Team A may look better.

From a reliability perspective, Team B is clearly the stronger organization.

The Real Output of a DBA Team Is Reliability

A database team does not exist to generate tickets.

It exists to provide a reliable database service to the business.

That means the real outputs should include:

• availability
• performance
• recoverability
• security
• scalability
• predictable operations
• controlled change
• reduced operational risk

A successful DBA team should gradually make routine database operations boring.

Boring is good.

Boring means predictable.

Automation Changes the Economics

Imagine provisioning a new database takes four hours.

A DBA manually:

1. installs the software
2. configures the operating system
3. creates the database
4. configures users
5. configures backups
6. configures monitoring
7. documents the environment

Now imagine the same process takes 20 minutes through automation.

The DBA has not become less productive.

The DBA has created a platform that can deliver the same result repeatedly.

This is one of the fundamental differences between traditional database administration and Database Reliability Engineering.

The objective is not:

Do more manual work.

It is:

Eliminate unnecessary manual work.

Incidents Should Become Learning Opportunities

A production incident should not simply result in:

Incident closed.

The important questions are:

• Why did it happen?
• Why wasn’t it detected earlier?
• Why did monitoring not identify the problem?
• Why did recovery take so long?
• Could the failure have been prevented?
• Can the recovery process be automated?
• What should change in the platform?

A mature database organization converts incidents into engineering improvements.

The number of incidents should therefore decrease over time.

Reliability Has a Business Value

Database reliability is not only a technical metric.

Consider an application processing customer transactions.

If the database becomes unavailable for 30 minutes, the business may lose:

• revenue
• customer trust
• operational capacity
• SLA compliance
• employee productivity

The database team therefore protects something much larger than a database.

It protects the business service that depends on the database.

From DBA to Database Platform Engineer

This is why the role of the Senior DBA is changing.

A modern Senior DBA increasingly works on:

• automation
• infrastructure as code
• high availability
• disaster recovery
• observability
• performance engineering
• cloud platforms
• security
• standardized database platforms

The DBA becomes less focused on individual database instances and more focused on the database service as a platform.

Instead of asking:

How do I fix this database?

the better question becomes:

How do I design the platform so this class of problem happens less often?

That is a very different mindset.

The Best Database Team May Look Invisible

A mature database platform can create a strange management problem.

When everything works:

Nobody notices the DBA team.

There are no emergency calls.

There are fewer tickets.

Backups run automatically.

Monitoring detects problems early.

Failover procedures are tested.

Databases are provisioned consistently.

Upgrades are predictable.

From the outside, it can look like nothing is happening.

In reality, a huge amount of engineering work has gone into making „nothing happen.“

Five Metrics I Would Use Instead

Instead of measuring only tickets, I would monitor at least five dimensions.

1. Availability

Is the database service available when the business needs it?

2. Performance

Is the database meeting the required performance targets?

3. Recovery

Can the team restore service within the required RTO?

4. Change Failure Rate

How often do database changes cause incidents or rollbacks?

5. Automation Coverage

How much routine database work can be performed without manual intervention?

These metrics tell management much more about database maturity than ticket counts.

Reliability Is a Team Sport

The DBA cannot create reliability alone.

Database reliability depends on:

Application
     ↓
Database
     ↓
Operating System
     ↓
Storage
     ↓
Network
     ↓
Cloud / Infrastructure
     ↓
Monitoring
     ↓
Operations

A database may be perfectly configured and still fail because the application creates an uncontrolled workload.

Or because storage becomes saturated.

Or because a network component fails.

Or because the backup infrastructure is unavailable.

Modern database engineering therefore requires understanding the entire service.

What Should Management Ask the DBA Team?

Instead of:

How many tickets did you close this month?

Ask:

How many incidents did we prevent?

How quickly can we recover from a complete database failure?

How many manual operations have we eliminated?

How much of our database infrastructure is standardized?

Can we provision a new database automatically?

Have we tested our backups?

What is our biggest remaining database reliability risk?

These questions lead to better engineering decisions.

The Goal Is Not More DBA Work

The goal is less repetitive DBA work.

A successful database platform should continuously move in this direction:

Manual
   ↓
Scripted
   ↓
Automated
   ↓
Standardized
   ↓
Observable
   ↓
Self-healing

Not every database can become fully autonomous.

But every database platform can become more predictable.

The Future Senior DBA

The Senior DBA of the future will not be valuable because they can manually configure more databases than anyone else.

They will be valuable because they can design systems where fewer things need to be manually configured in the first place.

They will understand:

databases + infrastructure + automation + reliability + business impact.

That is why the evolution from Senior DBA to Database Reliability Engineer is not simply a change of job title.

It is a change in how database engineering creates value.

Final Thought

The best database team is not the team that closes the most tickets.

It is the team that makes fewer tickets necessary.

Reliability is not measured by how much work the DBA performs.

It is measured by how little operational pain the business experiences.

That is the real value of Database Reliability Engineering.

About the Author

Tomas Solar
Principal Database Reliability Engineer

20+ years of experience with Oracle, PostgreSQL, MySQL, SQL Server and MongoDB.

Specialized in Database Administration, High Availability, Disaster Recovery, Performance Engineering, Database Reliability, Automation, Database Migration and Database Architecture.

The future of database administration is not about managing more databases.

It is about building database platforms that require less manual intervention and provide greater reliability.

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