How Git Strategy Can Break Your Database Pipeline

Tired of fighting merge conflicts and broken rollbacks in your database deployments? This post shares lessons from real-world projects on why common Git strategies often fail for databases and how switching to a trunk-based, context-aware approach can bring sanity, speed, and confidence back to your release process.

As a developer working closely with both application and database delivery pipelines, I’ve seen how Git hygiene can make or break a release process. While CI/CD for applications has matured significantly, database deployments often remain fragmented and fragile.

Most teams adopt what seems intuitive-a branch for every environment (dev, qa, prod), but this approach introduces more harm than good. Merge conflicts, configuration drift, and manual patching become the norm rather than the exception.

The core thesis is simple: your Git strategy isn't just about version control; it's the backbone of your GitOps and Database DevOps workflows. Choosing the right branching model leads to cleaner automation, faster feedback loops, and safer production changes.

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