GDPR Compliance for Systems-Oriented SaaS: A Developer's Implementation Guide

Short summary

A developer's implementation guide for GDPR compliance in systems-oriented SaaS, covering where personal data hides in logs and infrastructure metadata, the processor-vs-controller distinction, DPA requirements, and a Python pattern for orchestrating erasure requests across Postgres, Elasticsearch, S3, and Redis. The author argues for privacy-first architecture from day one rather than bolting on compliance later.

• •Personal data hides in logs, error traces, API metadata, and audit logs—assume your systems tool handles it
• •SaaS providers are data processors needing a separate DPA with every customer, not just Terms of Service
• •Implement erasure requests as orchestrated multi-store operations with full audit trails

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