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Microservices make GDPR harder — personal data flows across service boundaries. Archiet maps data classifications to each service and generates GDPR controls: consent tracking, data export, right to erasure, and breach notification.
In a monolithic application, personal data lives in one database. In microservices, the same user's data is distributed across user-service, order-service, payment-service, notification-service, and analytics-service. A GDPR data subject access request (Article 15) requires gathering data from all services. A right to erasure request (Article 17) requires deleting from all services. Without architectural planning, this becomes a compliance nightmare.
Archiet's ArchiMate model includes data classification for every DataObject: PII (personally identifiable information), financial, health, or public. When you generate microservices, each service knows which data it handles and applies the appropriate GDPR controls: encryption for PII fields, audit logging for access, and automated deletion workflows for erasure requests.
The generated code includes: GET /api/user/data-export (Article 15 — right of access), DELETE /api/user/account (Article 17 — right to erasure with cascade across services), POST /api/user/consent (Article 7 — consent management), and PATCH /api/user/data-portability (Article 20 — data portability in machine-readable format). These are not stubs — they are working endpoints with proper service-to-service communication.
The architecture model captures data flows between services. When a user requests erasure, the generated orchestrator service sends deletion commands to every service that holds that user's data — derived from the ArchiMate relationships, not from a manually maintained list. This architectural approach ensures new services added later are automatically included in GDPR workflows.
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