Technology Principles¶
Executive Summary¶
Technology Principles define how Algosure should select and govern technologies in future engineering waves. This document does not select detailed technologies beyond the architecture direction already specified by the Blueprint request.
Why This Exists¶
Technology choices can either reinforce or weaken architecture. Algosure needs principles that preserve modularity, security, testability, observability, AI governance, and tenant isolation.
Owner¶
The owner is the Chief Product Officer and Enterprise Architect.
Business Value¶
Technology Principles reduce tool-driven architecture and ensure that technology choices serve the product architecture.
Principles¶
| Principle | Meaning |
|---|---|
| Technology serves the Blueprint | Technology choices must implement the business architecture. |
| Prefer boring foundations | Core platform foundations should be stable, well-understood, and supportable. |
| Spring Boot Modulith alignment | The backend architecture should align with modular monolith discipline before service extraction. |
| Open standards where practical | Prefer standard protocols, contracts, and formats when they support enterprise interoperability. |
| API-first and contract-first | Interfaces must be deliberate, versioned, testable, and governed. |
| Event-capable | Technologies must support reliable event-driven coordination and idempotency. |
| Security-compatible | Technology must support zero trust, tenant isolation, audit, and least privilege. |
| Observable by default | Technology must support logs, metrics, traces, audit, and operational insight. |
| Testable by design | Technology must support automated validation at appropriate levels. |
| AI-governable | AI technology must support explainability, audit, memory governance, context control, and human approval. |
Selection Criteria¶
| Criterion | Question |
|---|---|
| Blueprint fit | Does the technology support the Digital Procurement Company model? |
| Boundary support | Does it preserve Domain and module boundaries? |
| Operational maturity | Can the team operate it reliably? |
| Security posture | Does it support enterprise-grade security requirements? |
| Integration fit | Does it support governed integration patterns? |
| Testability | Can it be validated in CI and operational environments? |
| Long-term maintainability | Will it remain understandable and supportable? |
Prohibited Drivers¶
- Choosing technology because it is fashionable.
- Choosing microservices before modular boundaries are mature.
- Choosing AI tools that cannot support audit, explainability, or approval gates.
- Choosing integration patterns that duplicate source facts.
- Choosing database patterns before data ownership is defined.