Usually profile data is gathered by randomly sampling the stack of the running program to see which function is in execution, over a running period it is possible to be statistically sure which methods/function calls eats most time and need intervention in case of bottlenecks.
However this has to do with overall application/game performance. Sometime happens that there are singular and isolated hiccups in performance that are causing usability troubles anyway (user notice it / introduced lag in some internal mechanism etc). With regular profiling over few seconds of execution is not possible to know which. Even if the hiccup lasts long enough (says 30 ms, which are not enough anyway), to detect some method that is called too often, we will still miss to see execution of many other methods that are just "skipped" because of the random sampling.
So are there any tecniques to profile hiccups in order to keep framerate more stable after fixing those kind of "rare bottlenecks"? I'm assuming usage of languages like C# or C++.