Apache Kafka and Spring Boot Training in Astana, Kazakhstan

This course introduces developers to building event-driven applications using Apache Kafka integrated with Spring Boot. It covers core Kafka concepts, setting up producers and consumers, and building reactive, decoupled services using Kafka in a Spring Boot environment. Hands-on sessions will guide participants in building reliable data pipelines and microservices.

KAFKA BASICS AND SPRING INTEGRATION

Introduction to Apache Kafka

  Kafka architecture and key components: brokers, topics, partitions

  Producers, consumers, and consumer groups

  Use cases for Kafka in modern applications

Kafka Setup and Tools

  Setting up Kafka and ZooKeeper locally using Docker

  Topic creation, CLI tools, and Kafka UI dashboards

  Testing Kafka with command-line producers and consumers

Kafka Producers and Consumers with Spring Boot

  Integrating Spring Kafka in a Spring Boot app

  Writing Kafka producers for event publishing

  Consuming messages and understanding consumer group behavior

ADVANCED INTEGRATION, ERROR HANDLING, AND BEST PRACTICES

Message Serialization and Schema Management

  Working with JSON, Avro, and custom serializers

  Schema evolution and registry overview

  Spring Kafka serializer configuration

Error Handling and Message Reliability

  Retry policies and dead-letter topics

  Ensuring idempotency and avoiding duplicate processing

  Transactions in Kafka and Spring

Microservices and Kafka Design Patterns

  Decoupled services with event-driven architecture

  Asynchronous communication and backpressure handling

  Monitoring, logging, and metrics (using Spring Actuator and Micrometer)

Final Labs and Wrap-Up

  Q&A, best practices summary, and next steps