Apparatus and method for identifying code path contributors to resource utilization spikes. For example, in some implementations, stack trace data and profiling data are sampled from a plurality of code paths of an application to generate a plurality of code path samples, where the sampling is performed across a series of temporal windows. Processor utilization data is also sampled across a corresponding series of temporal windows. Correlations are detected between the code path samples and occurrences of processor utilization spikes to generate correlational scores for the plurality of code paths. A ranking of code paths is then generated in accordance with the correlational scores in which code paths relatively higher in the ranking are more likely to contribute to the occurrences of the processor utilization spikes than code paths relatively lower in the ranking.