eventing-analyst

Auditing Kafka event patterns across microservices involves analyzing topics, producers, consumers, partition strategies, and schema versioning. This process generates an event catalog and service reliability reports to ensure architecture completeness.

Verifying outbox patterns and inbox deduplication for event-driven reliability requires auditing critical transactional event flows. This validation ensures microservices correctly handle event duplication and maintain reliable data consistency.

A Kafka event catalog is a comprehensive map of topics, producers, and consumers. You need it for microservices to document event-driven architecture, track data flow, and verify reliability guarantees like Dead Letter Queues.

Yes, you can check Dead Letter Queue configurations and consumer group setups in Kafka. Auditing these configurations verifies that consumers have appropriate DLQs and that consumer groups maintain proper event-driven reliability guarantees.

Yes, event-driven architecture auditing supports schema versioning and event envelope standards. It analyzes these configurations alongside partition strategies and consumer groups to produce detailed service reliability reports.