Event-Driven Microservices
Architecture where services communicate through asynchronous events, enabling loose coupling and scalability.
High ComplexityTechnologies & Tools
Apache KafkaRabbitMQAWS SQSEventStoreApache Pulsar
Architecture Flow
1
Event Production
Services produce domain events
Event PublishersDomain EventsEvent Schema
2
Event Storage
Events stored in event store/stream
Apache KafkaEventStoreMessage Queues
3
Event Consumption
Services consume and react to events
Event HandlersEvent ConsumersEvent Processors
4
Event Replay
Replay events for state reconstruction
Event SourcingCQRSProjections
Use Cases
E-commerce order processing
User activity tracking
Real-time analytics
IoT data processing
Financial transactions
Pros
Loose coupling
High scalability
Fault tolerance
Event replay capability
Real-time processing
Cons
Eventual consistency
Event ordering complexity
Debugging challenges
Event versioning
Storage growth
When to Use
High throughput requirements
Loose coupling needs
Real-time processing
Event sourcing
Asynchronous workflows
Alternatives
Synchronous communicationAPI GatewayMessage queuesEvent streaming
Performance Metrics
Latency
Low (milliseconds to seconds)
Throughput
Very High (millions of events/sec)
Scalability
Excellent
Reliability
High
Cost
Medium to High
Key Trade-offs
Eventual Consistency
Data consistency challenges across services
Scalability
Excellent horizontal scalability
Complexity
Event ordering and replay complexity
Category Information
Category
Event-Driven
Complexity Level
High