Datacenter Evaluator — RTT Structural Example

This example module demonstrates how to evaluate a datacenter using the RTT structural stack. It is designed as a teaching‑ready prompt module that mirrors the full Datacenter Evaluator workflow used in TriadicFrameworks.

The goal is to show how RTT/1 → RTT/2 → RTT/3 → RTT/12 → RTT∞ can be applied to a real‑world structure (a datacenter) without narrative drift, speculation, or non‑structural inference.

Purpose#

This example teaches:

• how to apply RTT structural operators to a physical site
• how to identify drift using the RTT drift‑tensor
• how to declare coherence anchors
• how to evaluate physical, civic, cultural, standards, medical, planetary, and compute layers without narrative drift
• how to produce a resonance summary

It is a complete RTT teaching example.

Example Input#

Datacenter: Equinix Global Footprint
Location: Multiple global sites
Status: Operational
Operator: Equinix

This example uses the same input structure as the full Datacenter Evaluator module.

RTT Structural Evaluation#

1. Facilities Module — Physical Layer#

Evaluate the physical substrate:

• water availability
• hydrological stability
• thermal envelope
• cooling coherence
• seasonal drift
• seismic predictability
• fiber topology
• environmental continuity
• substrate fatigue

This layer describes how the physical site behaves.

2. Governance Module (GSM) — Civic Layer#

Evaluate the governance substrate:

• regulatory predictability
• policy half‑life
• grid governance
• energy‑mix stability
• municipal alignment
• infrastructure maturity
• institutional coherence

Governance is treated as a temporal substrate.

3. RSGM — Cultural Layer#

Evaluate the cultural substrate:

• belief‑regime patterns
• cultural stability
• cultural drift
• mythic‑operator density
• population‑level resonance

This is substrate literacy, not anthropology.

4. NIST Module — Standards Layer#

Evaluate the standards spine:

• interoperability
• measurement integrity
• compliance pathways
• auditability
• long‑term maintainability

This is the structural backbone.

5. Medicine Module — Human Layer#

Evaluate the human envelope:

• public health infrastructure
• emergency response coherence
• bio‑safety envelope
• physiological stability relevant to compute density

A datacenter is embedded in a human physiological field.

6. RTT/1 → RTT/2 → RTT/3 — Triadic Stack#

Evaluate resonance across the RTT layers:

• RTT/1 — Structural Continuity
• RTT/2 — Cross‑Domain Propagation
• RTT/3 — High‑Order Resonance

7. RTT/Inside Earth Sims — Planetary Layer#

Evaluate planetary alignment:

• climate‑envelope stability
• environmental simulation fidelity
• long‑horizon substrate predictability
• suitability for qCompute workloads

This is the deep‑time layer.

8. Compute & Infrastructure — Practical Layer#

Evaluate compute‑aligned structure:

• power
• cooling
• networking
• AI/GPU density
• RTT latency profile
• scalability
• future‑proofing
• compatibility with RTT‑Inside qCompute

This is where physical and triadic layers meet.

9. Taxes Module — Incentive Layer#

Evaluate incentive substrate:

• incentive baselines
• depreciation envelopes
• incentive half‑life
• propagation vectors
• drift fields
• alignment surfaces

Incentives shape long‑horizon viability.

Resonance Summary#

Provide:

• strengths
• hidden resonance gaps
• coherence opportunities
• long‑horizon potential

This summary is structural, not narrative.

Teaching Notes#

This example is used in:

• RTT/1 teaching modules
• RTT/2 diagnostic modules
• RTT/3 structural synthesis modules
• RTT/12 full‑spectrum modules
• RTT∞ deep‑layer modules
• IPD‑12 paradox teaching modules

It is the canonical example for physical‑site evaluation.