Model Deployment
This page explains the deployment domain of the model. It is the layer where logical software structures are bound into concrete runtime placement, hosting, environment, topology, and instance realization.
Intro
The deployment model matters because application logic does not operate in the abstract. It has to be instantiated somewhere, under some environment, with some topology, runtime context, and operational dependency structure.
That is what deployment is for. It is the domain that connects logical application structures to the concrete technical context in which they actually run.
Diagram
The deployment domain at a high level
At a high level, the deployment model should help explain:
- where application elements run
- how instances are placed and grouped
- what environments exist
- how runtime topology is structured
- how application and infrastructure participate together
- how realised system shape differs from logical design alone
This is why deployment needs its own domain rather than being absorbed into either application or infrastructure.
Deployment is a realization-binding layer
Deployment should not be reduced to a technical footnote. It is the layer that binds:
- logical application structures
- runtime instances
- hosting relationships
- environment contexts
- operational topology
- infrastructure participation
That makes deployment a critical bridge. Without it, it is hard to explain how a designed application becomes a realised running system.
How deployment relates to the other domains
The deployment model is downstream of application structure but upstream of infrastructure interpretation.
It depends on application semantics such as:
- application boundaries
- components and modules
- workflows and interfaces
- software responsibilities
It also needs to connect to infrastructure semantics such as:
- compute and network resources
- storage participation
- sites, environments, and runtime hosting
- operational continuity structure
That is why deployment should be read as its own modeling concern rather than as a simple mixture of the two.
What the deployment model needs to distinguish
Several distinctions become especially important here:
- application design versus deployed instance
- logical dependency versus runtime placement
- environment definition versus live environment state
- topology design versus observed runtime topology
- deployment plan versus completed deployment event
These distinctions help separate intention, design, realization, and observation.
Why this matters for ontology
The deployment domain is one of the strongest places for introducing clearer semantics around realization and occurrence. A mature ontology should eventually help distinguish:
- designed structures
- instantiated structures
- runtime states
- deployment events
- environment bindings
- continuity and hosting relations
That is what makes deployment useful for governance and runtime reasoning rather than only technical description.
Next direction for this page
The next evolution of this page should make the deployment semantics more explicit around:
- runtime instance and environment structure
- placement and hosting relations
- topology and dependency binding
- deployment event/history semantics
- traceability from application design into infrastructure realization