What you'll learn:
- Master Apache Kafka fundamentals: topics, partitions, offsets, and consumer groups
- Build event-driven microservices with Spring Boot and Spring Cloud Stream
- Develop Kafka producers, consumers, and processors using real-world patterns
- Scale applications with consumer groups, partitioning, and rebalancing
- Implement message ordering, keys, and offset management correctly
- Apply parallel and batch processing for high-throughput systems
- Design content-based and dynamic event routing
- Handle failures with retries, DLQ (Dead Letter Queue), and error strategies
- Implement Kafka transactions and exactly-once processing concepts
- Configure and run a multi-broker Kafka cluster with Docker
- Secure Kafka with SASL and SSL authentication
- Write integration tests using Testcontainers and TestBinder
- Build a complete production-style event-driven system (Netflux project)
The course has been completely re-recorded in 2026.
Build production-ready event-driven microservices using Apache Kafka and Spring Cloud Stream from fundamentals to advanced patterns, testing, security, and a complete real-world project.
This course is designed for backend developers who want a practical, no-fluff path to mastering event-driven architecture with Spring Boot.
What you will learn:
Kafka Fundamentals (from scratch)
Core concepts: topics, partitions, offsets, consumer groups
Ordering, keys, rebalancing, scaling consumers
Producer/consumer configuration and performance tuning
CLI tools and hands-on demos
Spring Cloud Stream: Build Real Applications
Consumer, producer, and processor services
Reactive vs imperative approaches
Message routing and event processing patterns
Dynamic producers with StreamBridge
Advanced Kafka Engineering Topics
Scaling and parallel processing
Batch processing
Message acknowledgement strategies
Error handling, retries, DLQ
Transactions and exactly-once semantics (myth vs reality)
Kafka Cluster Deep Dive
Replication and fault tolerance
Broker configuration and listeners
Running multi-broker clusters with Docker
Testing & Security
Integration testing with TestBinder and Test Containers
Serialization pitfalls in tests
Kafka security with SASL/SSL
Why this course is different:
Hands-on demos for every concept
Focus on production realities
Covers both Kafka internals and Spring abstraction
Includes scaling, failure scenarios, and testing
Elevate Your Career with In-Demand Kafka Skills:
Become a valuable asset to your team by building high-performance data pipelines.
Stay ahead of the curve in the rapidly growing field of real-time data processing.
Command a competitive salary in the high-demand Kafka job market.
