Kafka MicroServices with Spring Boot, Docker, Kubernetes, AI
Build Scalable Kafka Microservices with Spring Boot, Docker, Kubernetes, and AI
Created by Dilip Sundarraj
Explore how to build scalable Kafka microservices using Spring Boot, Docker, and Kubernetes, while integrating AI-driven development tools. You'll learn to design, test, and deploy resilient applications that handle real-world data and workloads with confidence.
Packt | Jun 2026 | 1144 min
What You Will Learn
You'll start with core Kafka concepts and hands-on setup, then move on to building and testing microservices step by step. Guided exercises use AI coding assistants to boost productivity and reliability. By deploying and monitoring services in real-world environments, you'll gain practical skills for every stage of the development lifecycle.
Key Features
- Build Kafka producers and consumers using Spring Boot for real-time data flow
- Integrate AI tools to streamline coding, testing, and troubleshooting workflows
- Deploy and scale microservices with Docker, Kubernetes, and robust monitoring
Target Audience
Designed for developers, software engineers, and architects who already understand basic Java and Spring Boot. If you want to deepen your expertise in building, deploying, and scaling Kafka microservices-especially with modern AI tools and cloud-native platforms-this course is a great fit.
