Loading content
Event-driven systems are an architectural paradigm where components communicate by emitting and reacting to asynchronous events. They enable loose coupling, scalable processing, and flexible integration across bounded contexts. Typical uses include microservices messaging, integration platforms, and event pipelines. Design decisions must balance consistency,…
Use this profile to understand the building block briefly, place it in the model, and switch to the 360° assessment when needed.
Theoretical construct: explains a term, principle, or mental model.
What you need to understand to reason about a domain.
Event-driven systems are an architectural paradigm in which components communicate through asynchronous events to enable loose coupling, scalability, and flexible integration.
The paradigm comes from software architecture for distributed and integrated applications. It became important when systems needed to exchange state changes reliably across domain and system boundaries instead of relying only on direct request/response calls. Events decouple senders and receivers in time; that requires clear contracts, error handling, ordering rules, and strong observability.
Think of an event-driven system as a postal network: a producer announces a relevant state change, places it on a channel, and multiple consumers react in their own time. The channel decouples sender and receiver, can buffer and distribute messages, and, depending on the topology, a broker routes delivery or a mediator coordinates the flow.
A relevant state change or observation that can inform other components.
A sender publishes events; receivers react independently and do not need direct knowledge of one another.
A bus, broker, or stream transports, buffers, and distributes events between components.
Responses are time-decoupled; the triggering action does not wait for an immediate reply.
Distributed flows need rules for ordering, repetition, and the handling of eventual consistency.
The pattern is useful for microservices communication, integration platforms, and event pipelines when several systems need to react to the same change or when bursty loads must be absorbed. It shifts complexity into delivery, ordering, duplicates, error handling, and observability; business correctness often requires explicit contracts, idempotency, and in many cases eventual consistency.
Where this building block is located in the topic model.
No structure path available.
Explore how this building block connects to concepts, methods, technologies, and tools.
These sources establish the term and its professional meaning.
All direct connections of the current building block in a compact text view.
This classification shows where the building block typically matters, how demanding it is, and what kind of impact it has in the model.
The level within the organization (enterprise, domain, team) at which the AssetBlock is applied.