How do you document the architecture of an AI media application?
Describe component responsibilities, data flows, trust boundaries, and failure recovery in an architecture document.
How do you document the architecture of an AI media application?
An architecture document explains how the application fulfills its requirements. It should let a reader follow one request across the interface, backend, workers, database, and storage.
Assign responsibilities
Identify where input is validated, ownership is checked, jobs are created, models are called, and artifacts are stored. Describe logical boundaries before deciding whether each part needs a separate deployment. A small application can keep several responsibilities in one service while preserving clear interfaces.
Trace success and failure
Follow a sample request from brief submission to download. Record the identifiers and data passed at each boundary. Then trace a worker failure and a storage failure to explain recovery. Include deployment assumptions and links to the API contracts and data model. Keep the document synchronized with actual decisions rather than adding boxes for technologies the project does not use.
No. A clear component list and request trace can be more useful than an elaborate diagram without responsibilities.
They reveal which component owns recovery and where durable state is required.
No. Logical responsibility and deployment boundaries are related but distinct decisions.
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