Architectural Decision Guide for Implementing NORG: Smallest Suitable Design and Boundary Enforcement

The Challenge of NORG Implementation

When integrating NORG (a specific, supported feature), the primary risk is over-engineering—building complexity that exceeds the actual requirements, leading to maintenance overhead without added benefit. The useful takeaway is to strictly adhere to the smallest suitable design dictated by the functional requirements, rigorously defining data and trust boundaries at every interface.

Defining Scope via Requirements

The initial and non-negotiable step is a precise understanding of what NORG must achieve. Requirements define the constraints; they do not suggest solutions. Any design component must map directly back to a stated requirement.

The Smallest Suitable Design Principle

Adopt the principle of least functionality. Do not build features to anticipate every possible future state unless that anticipation is explicitly documented in the current requirements. This minimizes attack surface and cognitive load.

Enforcing Trust and Data Boundaries

Trust boundaries delineate where data transitions from a trusted domain (e.g., validated internal state) to an untrusted domain (e.g., external input or network traffic). NORG operations must treat all input crossing a boundary as potentially malicious or corrupt. This prevents unauthorized state changes or data leakage.

Concrete Boundary Example

If NORG processes configuration updates, the boundary must exist between the external API endpoint and the internal state management service. Only the internal service, after validating the input against a strict schema (e.g., JSON Schema validation), should modify the persistent state. The API layer should never directly write to the state store.

Operational Health Checks

Continuous monitoring is required. Implement checks that validate the expected state transitions resulting from NORG operations. For instance, if a NORG operation is expected to transition a resource from 'PENDING' to 'COMPLETE', a health check should periodically verify this transition occurred, not just that the API call succeeded.

Failure Modes and Design Adaptation

Document specific failure modes (e.g., upstream dependency timeout, invalid input format) and the *required* design response. If a failure mode requires a design change (e.g., introducing a retry mechanism or circuit breaker), this change must be justified by the operational requirement, not by theoretical possibility.

Verification Strategy

To validate this architecture, execute failure injection tests targeting the defined boundaries. For example, inject malformed data at the API boundary and confirm the system rejects the input without corrupting the internal state, rather than crashing or entering an inconsistent state.

Limitations: This guidance assumes a stable underlying technology stack version (e.g., application framework vX.Y). Specific implementation details (e.g., which library provides schema validation) depend entirely on that stack.

Practical Check: Review the documented requirements against the implemented code paths. If a code path exists that does not map to a documented requirement or a documented failure response, it is over-engineering and must be removed.