Stop deploying database changes manually. We build Git-based automation pipelines that make database deployments safe, repeatable, and fast.
Database changes shouldn't be the scariest part of your release.
For most development teams, deploying application code is automated and reliable — but database schema changes are still done manually, often by a single person, with no version control, no automated testing, and no rollback plan. This creates a fragile, high-risk process that slows down releases and causes production incidents.
CloudFogg designs and implements CI/CD pipelines that treat database changes with the same rigor as application code — versioned in Git, tested automatically, reviewed before deployment, and rolled out to production safely and consistently across every environment.
What We Build
Every schema change lives in Git — tracked, reviewed via pull request, and part of your project's history. No more undocumented "hotfixes" made directly in production.
Migrations are automatically applied and validated in dev and staging environments before they ever reach production — catching errors early when they're cheap to fix.
Configurable approval workflows requiring DBA or team lead sign-off before any migration reaches production — balancing automation speed with human oversight for high-risk changes.
Every migration pipeline includes defined rollback procedures — whether through undo scripts, point-in-time restore, or schema snapshots — so you can recover quickly if something goes wrong.
Automated promotion of validated migrations through dev → staging → production — with environment-specific configuration and consistent, repeatable deployments every time.
Full audit history of every migration — what changed, who approved it, when it ran, and whether it succeeded. Essential for compliance and incident post-mortems.
Tools & Platforms
The Benefits
Remove the manual bottleneck from your release process. Database changes deploy alongside application code — no separate scheduled maintenance windows required.
Automated testing and approval gates catch bad migrations before they reach production. Rollback procedures ensure fast recovery when something does go wrong.
Every schema change is tracked in Git and the deployment system. Who approved it. When it ran. What it changed. Compliance and post-mortems become straightforward.