Event-Driven Systems with Kafka: Data Consistency & Async Workflows
Production patterns for event-driven architecture. Kafka use cases, data consistency, and scalable inter-service communication. Applied in automotive platforms at scale.
Kafka Use Cases
Inventory sync across partner systems. Campaign events for budget tracking and lead attribution. CRM workflow triggers. Audit and analytics pipelines.
High-throughput, fault-tolerant messaging. Decoupled services that scale independently.
Data Consistency
Exactly-once semantics where critical. Idempotent consumers to handle retries. Event sourcing for audit trails. Saga patterns for distributed transactions.
Schema registry for contract evolution. Dead letter queues for failed messages.
Async Workflows
Non-blocking processing for long-running tasks. Real-time dashboards fed by event streams. Background jobs for reporting and aggregation.
See Automotive Digital Platform for real-world implementation.