Model Infrastructure
This page explains the infrastructure domain of the model. It is the layer concerned with the physical and operational substrate that supports deployed systems through compute, network, storage, devices, sites, and continuity-bearing technical assets.
Intro
The infrastructure model matters because no application, deployment, or operational service exists without a physical and operational bearer. Infrastructure is where the realised system depends on material hosting, runtime support, connectivity, storage, and continuity structure.
That means infrastructure should not be treated as only an asset list. It is the domain that helps explain the physical conditions and technical dependencies that make realised operation possible.
Diagram
Page 1 as an infrastructure-domain table of contents
The infrastructure diagram is compact, but it still gives a usable first-pass table of contents for the infrastructure domain.
An exhaustive first-pass TOC from the page is:
- Infrastructure
- Infrastructure Members
- Infrastructure Member Relationship Type
- Infrastructure Attributes
- Infrastructure Attribute Types
- Member Attributes
The page also includes important framing cues:
- L2
- Infrastructure
- Deployment
- Data
Those cues matter because they suggest the infrastructure page is already being read at a particular abstraction level and in relation to both the deployment layer above and the data/storage context around it. So even in compact form, the diagram is not only naming infrastructure concepts in isolation. It is hinting at how infrastructure semantics sit inside the wider realized operational stack.
The infrastructure domain at a high level
At a high level, the infrastructure model should help explain:
- what physical and technical assets exist
- how compute, network, and storage participate in operation
- what sites, environments, and devices matter
- what continuity and resilience structures exist
- how infrastructure supports deployment and runtime behaviour
This is why infrastructure deserves its own domain rather than being treated as generic technical background.
What the compact infrastructure diagram already implies
Even though the page only shows a small number of labels, it already implies a useful internal infrastructure-domain structure:
- a core Infrastructure concept
- a way of representing members that participate in, compose, or structure infrastructure
- a need to type the relationships between those members
- a distinction between the infrastructure itself and its attributes
- a distinction between infrastructure attributes and member attributes
- a surrounding context explicitly tied to Deployment and Data
That is a good sign. It means the page is already moving beyond “infrastructure is just an asset register” toward a more structured infrastructure model.
Infrastructure is more than an asset register
A strong infrastructure model should not stop at listing servers, networks, or devices. It should also account for:
- hosting participation
- location and site structure
- runtime support roles
- storage and connectivity dependencies
- continuity-bearing arrangements
- operational exposure and resilience context
Without that, infrastructure knowledge remains flat and hard to reason about.
How infrastructure relates to the other domains
The infrastructure model is downstream of deployment and application realization, but it is still semantically important in its own right.
It needs to stay connected to:
- deployment placement and topology
- application runtime needs
- data storage and movement
- service continuity expectations
- operational risk and resilience concerns
That makes infrastructure more than passive technical scenery. It is part of the realised operational structure of the organisation.
What the infrastructure model needs to distinguish
Several distinctions become important here:
- physical asset versus logical role in operation
- site versus environment
- infrastructure design versus actual provisioned state
- continuity structure versus ordinary hosting
- asset inventory versus operational dependency structure
These distinctions help stop infrastructure from collapsing into either pure inventory language or vague architecture language.
Why this matters for ontology
The infrastructure domain helps ground the model in physical and operational reality. A compact TOC like the one on this page reinforces that quickly: even at a glance, infrastructure semantics seem to need entities, members, typed relationships, and structured attributes rather than one flat asset register. A mature ontology should eventually help clarify:
- which infrastructure elements are enduring technical entities
- which relationships express hosting, dependency, locality, or continuity
- which structures are designed versus actually provisioned
- how infrastructure evidence connects to deployment and service performance
That is what allows infrastructure to become part of a coherent runtime-aware model rather than a disconnected operations register.
Next direction for this page
The next evolution of this page should make the infrastructure semantics more explicit around:
- hosting and continuity relations
- physical versus logical infrastructure distinctions
- site, environment, and asset structure
- operational dependency and resilience semantics
- traceability into deployment, service, and runtime evidence
