tailwindlabs / tailwindcss
github.com·23h ago
Developer Tools
Databricks Blog·15d ago·5 min read
Branching databases like code: a CI/CD pattern for Lakebase, in production at Glaspoort
TL;DR
Glaspoort faced challenges with outdated BI reports, prompting a shift to a custom application that integrates real-time data insights. They implemented a CI/CD pattern for database changes, treating migrations as the single source of truth.
✦ Why It Matters
Implement a CI/CD pipeline for database changes to enhance data quality and accessibility in your projects.
Key Takeaways
- Use Lakebase branches for isolated database testing.
- Adopt CI/CD practices to streamline database changes.
- Ensure migrations are the single source of truth.
- Maintain fresh data by branching directly from production.
How It Works
Lakebase branches are created as copy-on-write instances of a parent database, allowing developers to test changes in isolation. This approach mirrors Git branching, where each pull request (PR) gets its own database branch, ensuring that tests run against a production-like environment without interference from other branches.