Building Scalable Messaging Systems with Apache Kafka and Spring Boot

Step-by-Step Integration and Configuration for Real-Time Data Streaming

In today’s micro-services architectures, efficient and reliable communication between services is crucial. Apache Kafka, a distributed streaming platform, combined with Spring Boot, a framework for building Java applications, provides a robust solution for real-time data exchange. This article will guide you through the process of implementing real-time communication between two micro-services using Apache Kafka and Spring Boot.

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This article primarily focus on implementation of real-time Time Data Streaming. So I will briefly discuss the concept of Kafka. Then we will get into the main part.

Kafka Architecture

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Kafka’s architecture revolves around a few key components: topics, producers, consumers, brokers, and Zookeeper.

1. Topics: These are categories or feed names to which messages are published. Each topic is split into partitions to allow for parallel processing.
2. Producers: These are clients that publish…