Introduction: Formalizing Architecture with TADs
In many financial institutions, architecture decisions are not just collaborative — they are governed. One of the most powerful tools in that governance is the Technical Architecture Diagram (TAD) — a standardized, layered model that shows how applications, infrastructure, and data interact.
In this article, we share how we helped a major bank define and enforce TAD standards using Archi for decentralized modeling and Sparx EA for traceability and governance. The result: a repeatable, reviewable architecture pipeline — from idea to approved deployment.
What Is a TAD?
A Technical Architecture Diagram (TAD) is a structured visual model showing:
- Infrastructure and hosting topology
- Application components and integration interfaces
- Data flows, classifications, and systems of record
In the financial institution we worked with, no project could proceed without an approved TAD . This made TADs the backbone of architecture communication and compliance.
Why Use Archi to Model TADs?
✅ Standard ArchiMate Language
- Supports layered modeling: Business, Application, Technology
- Semantics and connectors already aligned with EA governance
✅ Lightweight Tooling for Architects
- Open source — easy to deploy across teams
- Modelers can work independently and commit to Git
✅ Easy to Enforce Visual Standards
- Shared TAD templates for layout and mandatory elements
- Embedded metadata via properties and views
Our Custom TAD Design
We defined a TAD reference layout used by all project teams. Key rules included:
- Bottom Layer = Hosting and Infrastructure (Servers, Cloud Zones, Firewalls)
- Middle Layer = Application Components, Interfaces, APIs
- Top Layer = Data Objects, Classifications, Owners
Required Properties for Each Element:
-
Owner -
Environment(e.g., DEV, TEST, PROD) -
DataSensitivity(e.g., PII, PCI, Confidential) -
AvailabilityTier,RecoveryTime
Connection Table Usage:
- Application ↔ Data Object → for risk review
- Application ↔ Interface → for integration analysis
- Application ↔ Node → for deployment traceability
Review and Approval Process
Once created in Archi, each TAD was submitted as part of a formal Architecture Office Review :
- Architect pushes Archi model to Git
- Architecture board reviews in standard template
-
Checklist includes:
- Deployment alignment
- Data classification present?
- Resilience and integration visible?
- Approval status is recorded (Approved / Revision Needed)
Linking with Sparx EA
All approved TADs were exported to Open Exchange Format (XML) and imported into Sparx EA. Benefits:
- Preserved relationships, metadata, and layout
- Linked to existing business capabilities, requirements, and programs
- Used in dashboards (Prolaborate) and audits
EA became the integration layer — merging TAD insights with operational data and compliance needs. integration architecture diagram
Why This Approach Worked
- ✅ Distributed modeling in Archi reduced bottlenecks
- ✅ Consistent TAD design accelerated review time
- ✅ Centralized repository in EA ensured traceability
- ✅ All stakeholders — from architects to auditors — had a single point of truth
Conclusion: TADs as Architecture Contracts
For regulated industries like banking, architecture is not just design — it’s contract. By standardizing TAD diagrams in Archi and managing them via Sparx EA, this client achieved scale, speed, and control over architectural decisions. free Sparx EA maturity assessment
The TAD format — simple, structured, and approved — was the keystone. If you want modeling that’s both agile and auditable, this approach might just work for your organization too.
Keywords/Tags
- technical architecture diagram standards
- archi TAD layout modeling
- enterprise architecture diagram approval
- financial sector architecture governance
- archimate deployment diagram
- archi to sparx EA exchange
- architecture review workflow TAD
- application data interface modeling
- regulated architecture review
- banking solution architecture templates
If you’d like hands-on training tailored to your team (Sparx Enterprise Architect, ArchiMate, TOGAF, BPMN, SysML, or the Archi tool), you can reach us via our contact page.
Model quality as a continuous concern
Architecture models lose value when quality degrades. Five quality dimensions matter: completeness (do all significant elements exist in the model?), accuracy (does the model reflect current reality?), consistency (do naming conventions and relationship types follow standards?), currency (are tagged values and status fields up to date?), and clarity (can stakeholders understand the views without explanation?). ARB governance with Sparx EA
Automate quality measurement where possible. Scripts can check naming conventions, detect orphan elements, verify required tagged values, and identify elements not updated in the past 12 months. Human review covers what automation cannot: whether views answer their intended questions, whether the model reflects genuine architectural decisions or just documents what exists, and whether the model is actually used for decision-making rather than sitting in a repository nobody opens.
Frequently Asked Questions
What is architecture governance in enterprise architecture?
Architecture governance is the set of practices, processes, and standards that ensure architecture decisions are consistent, traceable, and aligned to organisational strategy. It typically includes an Architecture Review Board (ARB), architecture principles, modeling standards, and compliance checking.
How does ArchiMate support architecture governance?
ArchiMate supports governance by providing a standard language that makes architecture proposals comparable and reviewable. Governance decisions, architecture principles, and compliance requirements can be modeled as Motivation layer elements and traced to the architectural elements they constrain.
What are architecture principles and how are they modeled?
Architecture principles are fundamental rules that guide architecture decisions. In ArchiMate, they are modeled in the Motivation layer as Principle elements, often linked to Goals and Drivers that justify them, and connected via Influence relationships to the constraints they impose on design decisions.