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The current Kafka architecture lacks a built-in mechanism to directly track the replication offset lag, i.e the number of to-be-replicated records. This could be essential for monitoring and maintaining the health and performance of data replication processes. The replication offset lag, defined as the difference between the last end offset of the source partition (LEO) and the last replicated source offset (LRO), is beneficial for understanding the progress and potential bottlenecks in data replication scenarios.

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