Reducing noise
The classical definition of noise (at least in the realm of computer science) is meaningless data, and a batch of profiling data that was blindly captured with no specific target in mind is always full of data that won't interest us. More sources of data take more time to mentally process and filter, which can be very distracting. One of the best methods to avoid this is to simply reduce the amount of data we need to process by stripping away any data deemed non-vital to the current situation.
Reducing the clutter in the Profiler's graphical interface will make it easier to determine which subsystems are causing a spike in resource usage. Remember to use the colored checkboxes in each Timeline View area to narrow the search. ...
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