# Identifying Hotspots Using the `Dashboard` - `Key Visualizer` - Cont'd

+ No hotspot

![`smart`](MonitorHotspot02_aa_001_20231020.png)

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For instance, on the slide, there was a significant increase in data written to the `k_1` index of the `sbtest1` table in the `sbtest` database over a specific time period (indicated by the brightness of the squares in the figure representing `Write (bytes)`). 

However, during this period, the write traffic for each region representing the `k_1` index appeared to be evenly distributed, as indicated by the similar brightness of the squares representing the `k_1` index TiKV Regions. Hence, we can deduce that despite a significant amount of writes occurring for the `k_1` index during this time frame, they were evenly distributed among nearly all the TiKV Regions it belongs to. In simpler terms, there are no apparent performance issues or hotspots associated with the `k_1` index at the given time.