Event Driven Microservices at Scale: Apache Kafka, Debezium CDC & Real Time Next.js Edge Streaming

Traditional database polling creates severe query contention and introduces intolerable latency. Debezium taps directly into the write ahead transaction log (WAL in PostgreSQL, oplog in MongoDB) to capture row level mutations instantaneously without adding query overhead to production transactional tables.

Change events flow into partitioned Kafka topics governed by an Avro Schema Registry. Partitioning by customer or tenant ID guarantees strictly ordered event processing while consumer groups scale horizontally to absorb massive write throughput without backpressure failures.

Rather than burdening web clients with continuous polling or brittle WebSocket connections, edge compute nodes consume Kafka micro batches and push lightweight Server Sent Events (SSE) directly to browser DOM listeners, ensuring sub-50ms visual updates with minimal client battery impact.

Distributed event driven systems must accommodate network partitions and duplicate deliveries. Enforcing strict idempotency keys across all event consumers and preserving immutable event logs enables seamless auditability, instant system replay, and zero downtime disaster recovery.