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How is monitoring handled in event-driven microservices?

Mid Microservices
Quick Answer Event-driven systems monitoring: trace events with correlation IDs across the event chain. Monitor queue depth and consumer lag (Kafka consumer lag = how far behind consumers are). Alert on DLQ message count (growing DLQ = processing failures). Use distributed tracing to link async spans. Track event processing latency end-to-end.

Answer

Monitor throughput, consumer lag, processing errors using logs, metrics, tracing, and dashboards.

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Source: SugharaIQ

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