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Cloud Intelligence Solutions

Database Solutions

DevOps for Database

Ship Database Changes as Safely as Application Code

For engineering teams whose application releases are automated but whose database changes still go out as hand-run scripts, we build database CI/CD. Schema changes get version control, automated tests, and repeatable deployments across every environment.

What We Deliver

Where We Make the Difference

Manual database deployments are slow, hard to audit, and a common source of failed releases. They also make it hard to know which version of the schema is running where. We put database code in source control, automate its testing and promotion, and train your team to work that way every day.

01

Database CI/CD Pipelines

Every schema change is committed, built, tested, and promoted through GitHub Actions, Azure DevOps, or Jenkins, with approvals where you need them and a full audit trail.

02

Versioned Schema Migrations

Flyway or Liquibase tracks which changes have run in each environment and applies the rest in order, replacing folders of manual scripts and guesswork.

03

Automated Database Tests

Unit tests with tSQLt or pgTAP, integration tests, and data quality checks run on every commit, catching broken procedures and bad migrations before production.

04

Analytics Engineering With dbt

dbt brings version control, testing, and documentation to SQL transformations, so analytics models follow the same engineering discipline as your application code.

Our Approach

How We Deliver DevOps for Database

  1. Step 1: Map the Current Release Process

    We trace how database changes move today, count the manual steps, handoffs, and failure points, and measure how long a change takes to reach production.

  2. Step 2: Design the Pipeline

    We choose tools, a branching strategy, an environment promotion model, and a testing approach that fit your platforms and your release cadence.

  3. Step 3: Build It on Real Workloads

    We bring existing database objects under version control and deliver a working pipeline on one of your real applications, not a demonstration project.

  4. Step 4: Coach Until It Sticks

    We train developers and DBAs, set coding and review standards, and pair with your team through the first releases until the new habits hold.

FAQ

Common Questions

Something we did not cover? Ask us directly.

Should we choose Flyway or Liquibase?

Both work well. Flyway suits teams that prefer plain SQL migration scripts, while Liquibase offers more options for rollback and multi-database changes. We recommend based on your platforms and how your developers like to work.

Can we automate deployments for a large existing database?

Yes. We baseline the current schema into source control first, so the pipeline manages every change from that point forward without rebuilding the database.

Do DBAs still have a role once deployments are automated?

Yes, and a more valuable one. DBAs review changes in pull requests and set the standards the pipeline enforces, instead of running scripts by hand late at night.

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