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Event-Driven Architecture
An event-driven design reacts to things that happen rather than forcing all coordination through direct, synchronous control flow.
An event is a statement that something occurred.
Examples:
- an input was received
- a state transition completed
- an entity was created
- a timer elapsed
- a command finished
- a failure was observed
In an event-driven system, producers emit events and consumers react to them.
Why people use it
Event-driven structure is useful when a system needs:
- loose coupling between producers and consumers
- extensibility
- clear reaction points
- decoupled coordination between subsystems
- a runtime model based on change and reaction
This style is common in UI systems, simulation, orchestration, and messaging-heavy applications.
Why it matters in Fairlanes
Fairlanes uses eventpp, which means event flow is not incidental plumbing. It is part of the architecture.
The mental model is often:
- some change or action occurs
- an event is published
- one or more consumers respond
- downstream state changes or transitions occur
That means understanding behavior often requires following events, not just following direct function calls.
Good event design
A good event is:
- clearly named
- specific
- meaningful in domain or runtime terms
- narrow enough to avoid ambiguity
- stable enough that consumers can rely on its meaning
Examples of better event names:
entity_spawnedroute_completedlane_blocked
Examples of worse event names:
updatedchangedthing_happened
If the event name hides the actual meaning, readers are forced to reverse-engineer intent from subscribers.
Event-driven does not mean unstructured
A common mistake is to treat event-driven architecture as an excuse for invisible control flow.
A healthy event-driven system still needs:
- clear ownership
- named event contracts
- explicit sequencing where order matters
- documentation of important producers and consumers
- restraint
Not every interaction should become an event.
When to use events
Use events when:
- one action should be observable by multiple consumers
- the producer should not know every downstream reaction
- the system benefits from decoupled reactions
- the event has durable meaning in the runtime model
Do not use events just to avoid making a direct dependency decision.
Failure modes
Event-driven systems often become hard to reason about when:
- too many vague events exist
- ordering matters but is undocumented
- event chains become long and implicit
- debugging requires guesswork
- the same concept appears under several similar names
If behavior depends on event ordering, make that fact explicit in code and docs.
Reading guidance in Fairlanes
When tracing behavior:
- identify the event source
- find the event type
- identify subscribers
- determine which state or components change in response
- check whether an FSM transition is involved