GDPR, Data Residency and Modern App Stacks
Residency is straightforward when the apps live on machines you control, but only if you can prove how they are deployed and monitored.
GDPR rarely fails on intent. It fails on evidence. Teams know roughly where their data should live; what trips an audit is being unable to show where it actually lives, who touched it, and when. The work is making residency provable, not just true.
Map personal data flows
Inventory which services process personal data and what categories: PII, telemetry, credentials. Without this map, your DPO cannot assess risk and you cannot answer the only question regulators care about, which is where a given record goes.
Set residency rules per workload
Define per-app requirements: EU only, country specific, or on-prem only. Encode these policies into automation so they hold by default instead of drifting every time someone provisions a new environment by hand.
Prove access controls
Centralize audit logs, SSO events, and change history so auditors can verify who touched what and when. Provability is the deliverable: an access policy you cannot demonstrate is, for audit purposes, an access policy you do not have.
Run apps where the data already lives
With Greffon, every deployment targets a greffer: a server, appliance, or edge cluster that you own. You decide whether that greffer sits in Paris, Frankfurt, or in a data room next to your ERP. Residency becomes a placement decision you make, not a region you rent and hope about.
Operational guardrails
The same machinery that deploys an app also documents it. Each install carries its access policy and its history, so compliance stops being a quarterly scramble and becomes a property of how you ship. That is the point: keep the teams fast and let the proof be a by-product of the platform, not extra homework.