Event-driven microservices have gained popularity in modern application development, offering enhanced scalability and agility. Spring Boot and Apache Kafka combine to create robust event-driven microservices, enabling asynchronous communication between services. This architecture pattern decouples components, allowing for independent scaling and failure isolation.

Real-time analytics and logging are crucial aspects of this approach. Complex business processes can be coordinated using events, such as a travel booking system where flight, hotel, and car rental bookings must be coordinated. Additionally, event-driven architectures enable real-time log analysis and readily scale to handle massive log volumes.

This pattern also enables loose coupling and data consistency across different services. A financial institution, for instance, can enhance its fraud detection system by analyzing transactions in real-time and identifying potentially fraudulent activities with higher accuracy.

Source: https://dev.to/virajlakshitha/event-driven-microservices-with-spring-boot-and-kafka-544l