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In modern microservices architectures, services often need to communicate both ways — sending and receiving messages asynchronously. While REST-based synchronous APIs are easy to start with, they don't scale well under high loads or when services are temporarily unavailable. This is where Apache Kafka shines — providing durable, fault-tolerant, and decoupled communication through an event-driven model. In this blog, we’ll build a bidirectional communication flow between two Spring Boot microservices using Spring Cloud Stream and Kafka.
In modern microservices architectures, services often need to communicate both ways — sending and receiving messages asynchronously. While REST-based synchronous APIs are easy to start with, they don't scale well under high loads or when services are temporarily unavailable.
This is where Apache Kafka shines — providing durable, fault-tolerant, and decoupled communication through an event-driven model.
In this blog, we’ll build a bidirectional communication flow between two Spring Boot microservices using Spring Cloud Stream and Kafka.
