How One Engineer Prevented a Deletion Cascade with a Soft Delete

What this episode covers

In this episode, Lucas and Luna dive into a near-disaster at a mid-sized SaaS company where a single engineer prevented a cascading data loss by implementing a soft delete pattern. They walk through the specific scenario: a misconfigured database trigger that would have wiped thousands of customer records during a routine cleanup. The engineer's decision to use a tombstone column and a scheduled purge job saved the company from a catastrophic data loss, costing only a few engineering hours. Lucas explains the technical details of soft delete versus hard delete, the trade-offs in query complexity and storage overhead, and why this pattern should be part of every production codebase. Luna asks the critical questions about when soft delete is overkill and how to automate the eventual cleanup. Listeners will learn one concrete pattern they can apply to their own systems to prevent irreversible data loss. #SoftDelete #DatabasePatterns #DataLoss #ProductionSafety #SoftwareEngineering #PostgreSQL #SQLErrors #Prevention #CascadeFailure #Tombstone #ScheduledJob #ReverseEngineering #BackupStrategy #AuditLog #Technology #FexingoBusiness #BusinessPodcast #EngineeringBestPractices Keep every episode free: buymeacoffee.com/fexingo

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