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K-Lens is a proprietary APM data analysis tool that provides clues into “what went wrong” by comparing thousands of attributes across span events. Users can select a region on the Trace Heatmap that they wish to compare against the baseline (all other events in the Heatmap). The K-Lens data analysis algorithm checks every attribute of the events in the Heatmap, and then figures out if there are major differences in the values for these attributes between the selection area and baseline. The resulting attribute charts are ranked and charts of higher significance are presented at the top.
Users can also add filters from the data presented in the charts, to allow in-depth investigations by querying the Heatmap again, and performing subsequent analysis using K-Lens on returned Heatmap.
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