Abstract: 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.

Abstract: Methods, systems, apparatuses, devices, and computer program products are described. A system may collect a first set of profiling data associated with computational resource consumption of one or more code implementations or methods. The system may use a vector embedding translation to convert the profiling data into one or more vector spaces. Each vector space may include a set of vectors, and each vector may correspond to an execution of a code implementation or method. The system may use the vector spaces to generate a model representation of the computational resource consumption of the one or more code implementations. In some cases, the system may collect and convert a second set of real-time profiling data into vector spaces, which the system may compare to the model representation such that users may identify deviations from resource consumption footprints.

Abstract: Apparatus, method, and graphical user interface (GUI) for presentation and navigation of code path data. Code path data samples, including temporal data, related to a plurality of code paths of program code are used to render an interactive GUI including a set of graphical elements representing a corresponding set of code paths. Each graphical element indicates resource utilization changes associated with a respective code path over a time period. The set of graphical elements are visually arranged in a first dimension and the period of time is indicated in a second dimension. Different techniques are used to represent resource utilization over time including extending the graphical elements in a third dimension or changing a width of the graphical elements within a plane defined by the first dimension and the second dimension.