Apache Kafka for Event-Driven Spring Boot Course Overview

Certainly! Below are the minimum required prerequisites for successfully undertaking the Apache Kafka for Event-Driven Spring Boot course:

Prerequisites:

• Basic System Administration
• Basics of Java

These foundational skills will help ensure that you can effectively engage with the course content and complete the hands-on lab exercises. Don't worry if you're not an expert; a basic understanding in these areas is sufficient to get you started. Happy learning!

Target Audience for Apache Kafka for Event-Driven Spring Boot

1. Introduction:
   The Apache Kafka for Event-Driven Spring Boot course is ideal for IT professionals seeking to master event-driven architecture and microservices using Apache Kafka within a Spring Boot environment.

   
   

2. Target Audience and Job Roles:

   
   

• Java Developers
• System Administrators
• DevOps Engineers
• Software Engineers
• Cloud Architects
• IT Consultants
• Integration Specialists
• Application Developers
• Solutions Architects
• Technical Leads
• Backend Developers
• Software Architects
• Data Engineers
• Microservices Developers

Learning Objectives - What you will Learn in this Apache Kafka for Event-Driven Spring Boot?

Course Overview:

The "Apache Kafka for Event-Driven Spring Boot" course by Koenig Solutions is a 5-day intensive program that equips participants with the skills to build, deploy, and manage event-driven microservices using Apache Kafka and Spring Boot, covering key concepts from Kafka architecture to integration testing.

Learning Objectives and Outcomes:

• Introduction to Microservices and Event-Driven Architecture: Understanding the fundamentals of microservices, their communication methods, and the role of Apache Kafka in building event-driven architecture.
• Kafka Broker Management: Learn how to configure and manage Kafka Brokers, including leadership roles, starting and stopping brokers in different environments.
• Kafka CLI Operations: Familiarize with Kafka CLI for managing topics, producers, and consumers, covering creation, listing, describing, and deleting operations.
• Spring Boot Microservices Integration: Master the integration of Kafka with Spring Boot, including synchronous and asynchronous communication, exception handling, logging, and configurations for both producer and consumer microservices.
• Producer Acknowledgements and Retries: Learn how to handle acknowledgements and retries in Kafka producers, ensuring message reliability and integrity.
• Idempotent Operations: Implement idempotent producers and consumers to avoid duplicate processing, ensuring transactional integrity.