# Evolving Database Schemas Without Breaking Production

DevFeed: [Evolving Database Schemas Without Breaking Production](<https://devfeed.tech/articles/refactoring-databases-is-a-different-animal-17960.md>)

Original publisher: [Read original article](<https://newsletter.systemdesignclassroom.com/p/refactoring-databases-is-a-different-animal>)

Author: Raul Junco

Published: 2026-03-14T11:57:59Z

Content type: tutorial

Language: en

Sources: [System Design Classroom](<https://devfeed.tech/sources/system-design-classroom.md>)

Topics: [Databases](<https://devfeed.tech/topics/databases.md>), [Database Migration](<https://devfeed.tech/topics/database-migration.md>), [Refactoring](<https://devfeed.tech/topics/refactoring.md>), [Development](<https://devfeed.tech/topics/development.md>)

Tags: [architecture](<https://devfeed.tech/tags/architecture.md>), [database](<https://devfeed.tech/tags/database.md>), [database-migration](<https://devfeed.tech/tags/database-migration.md>), [databases](<https://devfeed.tech/tags/databases.md>), [development](<https://devfeed.tech/tags/development.md>), [refactoring](<https://devfeed.tech/tags/refactoring.md>)

## AI overview

The article explains why database refactoring is riskier than code refactoring because multiple applications, dashboards, workers, and analytics pipelines may depend on the same schema. It presents the Expand / Contract pattern as a safer way to evolve schemas without breaking running systems and illustrates how non-backwards-compatible changes can cause production failures.

## Source excerpt

A practical pattern for evolving database schemas without breaking production