Your PM thinks erasure is a quick database DELETE. Three weeks later, you’ve found user data in seventeen places: production DB, analytics warehouse, …

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Implementing GDPR Article 17 right-to-erasure correctly requires far more than a simple database DELETE. User data typically lives in production databases, analytics warehouses, blob storage, caches, search indexes, backups, and third-party systems. A naive delete breaks referential integrity and leaves data scattered everywhere with no audit trail. The correct approach uses orchestrated workflows (demonstrated with Azure Durable Functions) that run parallel erasure across independent systems, handle sequential third-party notifications respecting rate limits, use soft-delete with anonymization to preserve referential integrity, verify completeness programmatically, and produce immutable audit logs. Additional concerns covered include the backup resurrection problem (restored backups must re-trigger erasure), legal retention exceptions (tax records, active contracts), and testing strategies for partial failures and edge cases.

"Just Delete the User": Famous Last Words Before the GDPR Audit — Daily DevOps & .NET

The Fatal Pattern: Database Scripts and Hope

The Correct Pattern: Orchestrated Erasure