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Report with fine-grained metrics for auto balancer
Currently, the Kafka metrics auto-balancer used for scheduling is based on minute granularity. This can lead to potential scheduling delays. Using a finer-grained time window for metric statistics can make the auto-balancer respond more rapidly to changes in flow.