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This project is part of my learning process with Apache Kafka, focusing on implementing different aspects of it using Spring Boot.

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Project Description: Implementing Producer and Consumer with Spring Boot and Apache Kafka

This project aims to provide a hands-on learning experience in developing a distributed messaging system using Spring Boot and Apache Kafka. The main objective is to implement both producer and consumer services in Java, demonstrating the capabilities of Kafka as a robust message broker for high-throughput, low-latency data streaming.

Project Objectives:

  1. Set Up Kafka Environment: Install and configure Apache Kafka to create a local development environment.
  2. Spring Boot Integration: Integrate Kafka with a Spring Boot application to leverage Spring's powerful dependency injection and configuration management features.
  3. Producer Implementation: Develop a Kafka producer in Java using Spring Boot to send messages to Kafka topics.
  4. Consumer Implementation: Create a Kafka consumer in Java using Spring Boot to read and process messages from Kafka topics.
  5. Message Serialization/Deserialization: Implement message serialization and deserialization using JSON or Avro to ensure data integrity and compatibility.
  6. Error Handling: Implement robust error handling and logging mechanisms to ensure the system's reliability and maintainability.

Learning Outcomes:

  • Understand the core concepts and architecture of Apache Kafka.
  • Gain practical experience in setting up and configuring a Kafka environment.
  • Learn how to integrate Kafka with Spring Boot applications.
  • Develop skills in producing and consuming messages in a distributed system.
  • Implement effective error handling and logging strategies.

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This project is part of my learning process with Apache Kafka, focusing on implementing different aspects of it using Spring Boot.

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