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Synchronous replication waits for confirmation from replicas, while asynchronous allows faster writes without waiting.

Database replication helps keep data available and allows systems to handle more read requests.

Monitoring Kafka consumer lag helps prevent production problems by ensuring consumers keep up with message traffic.

Kafka lag recovery time is how fast consumers can process backlogged messages.

Kafka consumer lag shows how far behind consumers are from new messages.

Log replication ensures data consistency by requiring majority acknowledgment before committing changes.

Lamport Timestamps help order events in distributed systems while preserving causality.

Elasticsearch CCR allows real-time data replication for faster disaster recovery.