Advanced Topic 36 of 50 Software Engineering
Event-Driven Architecture
Components communicating through produced and consumed events.
How it works
Event-driven architecture builds systems around events, records that something happened, such as OrderPlaced. Producers publish events to a broker or log such as Kafka, RabbitMQ or cloud pub/sub, and consumers react asynchronously, so components are loosely coupled and can scale independently. Patterns include event notification, event-carried state transfer and event sourcing, with delivery semantics such as at-least-once requiring idempotent consumers.
Step-by-step walkthrough
- A producer publishes an event, such as OrderPlaced.
- The broker stores and routes it.
- Consumer A reacts, for example reserving stock.
- Consumer B reacts, for example sending an email.
- Producers and consumers are decoupled and work asynchronously.
Where it is used
E-commerce order flows, real-time analytics, notifications, IoT data pipelines, fraud detection and integration between microservices use events to react quickly and absorb load spikes.
Common pitfall
Asynchronous flows make debugging, ordering and consistency harder. Duplicate or out-of-order events must be handled, and schema changes need versioning and compatibility. Without tracing and correlation IDs, understanding what happened is difficult. Design idempotent handlers, use dead-letter queues and document event contracts.
Where it fits in the course
Event-Driven Architecture is topic 36 of 50 in Software Engineering, rated Advanced. It follows Monolith vs Microservices. The next topic is CQRS and Event Sourcing.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Software Engineering quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Software Engineering quiz, and revisit the topic if you miss a question.
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Related topics
- Monolith vs Microservices (Software Engineering)
- CQRS and Event Sourcing (Software Engineering)
- Microservices (Software Engineering)
- API Design (Software Engineering)
- Event-Driven Concurrency (Concurrency & Parallelism)
- Von Neumann Architecture (Computer Architecture & Logic)
- Event Loop (Web Development)