In an earlier post we looked at how we can gain broad insight into an application scenario's memory characteristics and how the graph and markers drew our attention to ranges of execution for further analyses. Recall that in the memory leak diagnosis case we chose to analyze only the time range over which we observed the increase in memory usage. Indeed, that is a key first step to the analysis: filtering the memory activity data by a time range. The Heap Summary view is the result of such filtering, and represents the population of the heap during the chosen time range.

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