Kafka Application Development Training

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Build production-grade Kafka applications with this intensive 3-day training. Learn advanced producer and consumer patterns, Schema Registry integration, Kafka Streams for stateful processing, error handling strategies, and comprehensive testing approaches.

Training Details

Duration	3 days (24 hours)
Level	Intermediate
Delivery	In-person, Live online, Hybrid
Certification	N/A

Who Is This For?

• Backend developers building event-driven microservices
• Data engineers developing streaming data pipelines
• Software architects designing event-driven systems
• Anyone with basic Kafka experience seeking production skills

Learning Outcomes

After completing this training, you’ll be able to:

• Implement advanced producer patterns with transactions
• Build resilient consumers with error handling and retry logic
• Use Schema Registry for data contracts and schema evolution
• Develop stream processing applications with Kafka Streams
• Write comprehensive tests for Kafka applications
• Apply event-driven design patterns (CQRS, event sourcing, saga)

Detailed Agenda

Day 1: Advanced Producers and Consumers

Module 1: Advanced Producer Patterns

• Idempotent producers and exactly-once delivery
• Transactions for atomic multi-topic writes
• Custom partitioners and interceptors
• Performance tuning — batching, compression, acks
• Hands-on: Build a transactional producer

Module 2: Advanced Consumer Patterns

• Manual partition assignment vs subscribe
• Cooperative incremental rebalancing
• Pause/resume for backpressure handling
• Graceful shutdown and offset commit strategies
• Hands-on: Build a resilient consumer with manual offset management

Module 3: Error Handling

• Dead letter queues (DLQ) for poison pills
• Retry topics with exponential backoff
• Error classification and routing
• Circuit breaker pattern for external dependencies
• Hands-on: Implement DLQ and retry patterns

Day 2: Schema Registry and Kafka Streams

Module 4: Schema Registry

• Avro, Protobuf, and JSON Schema with Kafka
• Schema registration and compatibility modes
• Schema evolution — backward, forward, full compatibility
• SerDe configuration for producers and consumers
• Hands-on: Implement schema evolution in a running system

Module 5: Kafka Streams Fundamentals

• Stream processing topology — source, processor, sink
• Stateless operations — filter, map, flatMap, branch
• KStream and KTable abstractions
• Windowed operations — tumbling, hopping, sliding, session
• Hands-on: Build a real-time event counter

Module 6: Kafka Streams Advanced

• Stateful operations — aggregate, reduce, count
• KStream-KTable joins and KTable-KTable joins
• Interactive queries for state store access
• Exactly-once processing guarantees
• Hands-on: Build a real-time enrichment pipeline

Day 3: Patterns and Testing

Module 7: Event-Driven Design Patterns

• Event sourcing with Kafka
• CQRS — command query responsibility segregation
• Saga pattern for distributed transactions
• Outbox pattern with CDC
• Hands-on: Implement event sourcing with Kafka

Module 8: Testing Kafka Applications

• Unit testing with MockProducer/MockConsumer
• TopologyTestDriver for Kafka Streams
• Integration testing with Testcontainers
• End-to-end testing strategies
• Hands-on: Write comprehensive tests for stream processing

Module 9: Production Readiness

• Application configuration best practices
• Monitoring producer and consumer metrics
• Health checks and readiness probes
• Deployment strategies for stateful applications
• Hands-on: Add monitoring and health checks to a Kafka application

What’s Included

• Access to hands-on lab environments
• Course slides and reference materials
• Application templates and testing frameworks
• Post-training email support (30 days)

Request This Training

Ready to bring Kafka development training to your team? Contact me to discuss dates, group size, and customization options.