Kafka Patterns and Use Cases

Kafka Use Cases and Patterns

• Event sourcing — store all state changes as events; replay to rebuild state
• CQRS — separate read and write models; sync via Kafka events
• Log aggregation — collect logs from all services into one place
• Metrics pipeline — stream application metrics for real-time dashboards
• Change Data Capture — stream DB changes (Debezium) to downstream systems
• Microservice communication — decouple services via async events
• Stream processing — real-time ETL, filtering, enrichment, aggregation

# Saga pattern — distributed transactions via Kafka
# Order service publishes OrderCreated event
# Inventory service listens, reserves stock, publishes StockReserved
# Payment service listens, charges, publishes PaymentCompleted
# Order service marks order as confirmed