AI Dictionary › AI Fundamentals
Pub/sub (publish/subscribe) is a communication model where message producers (publishers) publish to thematic channels (topics) without knowing who will receive them, and interested parties (subscribers) subscribe to topics without knowing who publishes. A broker in the middle routes everything. It is the radio model: the station broadcasts, whoever is tuned in receives.
This total decoupling is the pattern's strength: publishers and subscribers evolve, scale and fail independently. Adding a new event consumer requires zero changes to producers. Modern brokers, Apache Kafka, Google Pub/Sub, Redis, NATS, add message persistence, history replay and configurable delivery guarantees.
In AI, pub/sub is the fabric of event-driven architectures: an uploaded document emits an event that the embedding service, the moderation service and the notification service react to in parallel; multi-agent systems use event buses to coordinate without coupling. Beyond AI it moves social network feeds, IoT telemetry and trading systems.
The pattern has roots in 1980s distributed systems: one of the first notable commercial incarnations was The Information Bus by Teknekron (later TIBCO), developed at the end of that decade to distribute market data across Wall Street trading floors, where publishing by subject rather than sending to specific recipients proved revolutionary. The names come from publishing: to publish, and to subscribe, as to a magazine.
In Grace's scenarios on event-driven architectures you learn to have the AI design decoupled systems with topics and subscriptions. The weekly leagues work in a similar way: Grace publishes results and rankings, and every member receives the updates for their own league.
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