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RWS Architecture article

Data Protection

Safeguard data through consistent backup, retention, and recovery practices aligned to business risk.

  1. Typeprinciple
  2. Statusactive
  3. Domain60-principles
On this page
  1. Principle – Data Protection
  2. Summary
  3. Intent
  4. Scope and Applicability
  5. Principles
  6. Per-Domain Implementation
  7. OpenShift
  8. Networking
  9. Storage
  10. Security
  11. Platform
  12. AI

Principle – Data Protection

Summary

Safeguard data through consistent backup, retention, and recovery practices aligned to business risk.

Intent

Ensure data integrity, regulatory compliance, and recoverability across platform services.

Scope and Applicability

Applies to persistent data, backups, snapshots, and retention policies across the platform.

Principles

  • Align data protection tiers to workload criticality and RPO/RTO expectations.
  • Automate backup workflows and validate restore procedures.
  • Protect data in transit and at rest with approved controls.

Per-Domain Implementation

OpenShift

  • Enforce standardized backup and restore tooling for cluster workloads.

Networking

  • Ensure data protection services are reachable and resilient in network design.

Storage

  • Provide storage tiers with clear backup and retention capabilities.

Security

  • Govern access to protected data and backup systems.

Platform

  • Define platform-wide backup policy baselines and evidence expectations.

AI

  • Apply backup/retention to AI-relevant artifacts (datasets, embeddings/vector stores, and model registries) and validate restores.

Exceptions

Exceptions require documented risk acceptance and compensating controls.

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