Reliability vs. Architectural Complexity
Design resilience through segmentation and standardised patterns, ensuring each protective layer demonstrably reduces net failure exposure under NIS2 security-of-network obligations.
CyberTRIZ analysis · Telecommunications contradiction RO003 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Additional protection layers, monitoring systems, backup paths, control mechanisms, and recovery processes can increase network reliability. Each added mechanism, however, introduces configurations, interfaces, dependencies, software, testing requirements, and potential failure modes. A network designed for greater reliability can therefore become so complex that operational errors and hidden interactions create new reliability problems.
Telecommunications TRIZ Resolution
Reliability should be achieved through simpler failure behavior rather than continuous accumulation of protective components. Clear failure domains, standardized resilience patterns, automated recovery, reduced dependency chains, and reusable protection mechanisms can replace multiple overlapping controls. Each reliability mechanism should eliminate more failure exposure than complexity it introduces.
Applicable TRIZ Principles
Principle 1 – Segmentation creates clear failure domains that limit propagation.
Principle 2 – Taking Out removes unnecessary dependencies and overlapping reliability mechanisms.
Principle 6 – Universality uses common resilience mechanisms across multiple components.
Expected Outcome
Higher network reliability
Reduced architectural complexity
Easier fault diagnosis
More predictable recovery behavior
Decision Indicators
Early indicators include:
Reliability mechanisms themselves generate operational incidents.
Failure paths are difficult to predict because of excessive dependencies.
Multiple backup systems interact unexpectedly.
Troubleshooting time increases as resilience features expand.
Operators hesitate to modify protection configurations because their interactions are poorly understood.