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Apache Kafka for Event-Driven Spring Boot Course Overview

Apache Kafka for Event-Driven Spring Boot Course Overview

### Apache Kafka for Event-Driven Spring Boot - Course Overview

Our 5-day Apache Kafka for Event-Driven Spring Boot course is designed for professionals with basic system administration and Java knowledge. Participants will gain an in-depth understanding of microservice architecture, event-driven systems, and Apache Kafka. Key topics include configuring Kafka brokers, utilizing CLI tools for producers and consumers, and integrating Kafka with Spring Boot microservices. The course emphasizes practical application, covering error handling, transactions, and integration testing. Learn to efficiently deploy and manage Kafka in Docker environments. By the end of this course, you'll be proficient in building robust, event-driven applications powered by Apache Kafka.

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  • Live Training (Duration : 40 Hours)
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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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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.

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