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Principle – Reliability and Resilience
Summary
Design for predictable uptime, safe failure modes, and recoverability across all platform services.
Intent
Protect platform availability and data integrity while minimizing recovery time and operational risk.
Scope and Applicability
Applies to infrastructure, application platforms, and supporting services that underpin user workloads.
Principles
- Design for redundancy, graceful degradation, and clear recovery procedures.
- Validate recovery workflows with regular testing and evidence.
- Treat operational risk as a first-class architectural concern.
Per-Domain Implementation
OpenShift
- Use supported HA patterns for control plane and critical add-ons.
Networking
- Maintain resilient fabric design with validated failover behaviors.
Storage
- Enforce backup, snapshot, and replication policies aligned with RPO/RTO tiers.
Security
- Ensure security controls do not become single points of failure.
Platform
- Define service tiers and continuity expectations for shared services.
AI
- Define reliability targets and fallback behavior for AI services, and include model/data restore testing in recovery drills.
Exceptions
Exceptions require explicit risk acceptance and a documented mitigation plan.