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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​

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.

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 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

status