Data Plane

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The data plane is the part of a system that carries out application data movement, processing, and request handling. It includes the active path that reads inputs and delivers outputs. The control plane manages the configuration and coordination under which that path operates.

Trace a recommendation request

A request reaches a service, passes identity and input checks, retrieves features, runs inference, and returns a ranking. These steps form the application's running path. The model version and resource allocation may have been selected elsewhere, but the actual request must still obey the applicable rules.

The distinction is about roles, not whether something has “data” in its name. A control service also reads and writes configuration data. That does not make its administrative work the application data plane. Kubernetes's separation of control components and workload execution offers a useful concrete comparison.

Runtime dependencies define the failure boundary

In this example, a working model is insufficient if feature lookup fails. A cached access decision can also become obsolete after permission changes. Name each dependency, its timeout behavior, and any allowed fallback.

The data plane is therefore broader than network transport alone in this platform discussion. Its purpose is to describe where application work happens and where correctness, access rules, and service expectations must hold during execution.

Reference: Kubernetes: Components.