Optimization of parralel processsing using waterfall reprsentations

A method, comprising:

• accessing event data for an application from a table of logged events in the execution of the application, the event data comprising a sequence of the events, a hierarchy of the events, and a start time and duration for each event;
• and
• accessing dependency data for each event, the dependency data indicating that the start time for an event is dependent on a prior completion of at least one other event;
• generating a waterfall representation based on the accessed event data, the representation including:
• a first axis, a second axis orthogonal to the first axis, an entry for each event in the sequence along the first axis with a start time and duration of each event measured relative to the second axis;
• and
• analyzing the waterfall representation and the hierarchy to identify an event that has a start time that is later than a start time of an event which precedes it in the sequence and is not a child of an event which precedes it in the sequence;
• based on the dependency data, determining whether the start time for the event is dependent on a prior completion of at least one event that precedes it in the sequence;
• and
• based on the start time for the event being dependent, setting the start time for the event to a latest completion time of the at least one event that precedes it in the sequence.

A non-transitory machine-readable medium storing instructions which, when executed by the at least one processor of a machine, cause the machine to perform operations comprising:

• accessing event data for an application from a table of logged events in the execution of the application, the event data comprising a sequence of the events, a hierarchy of the events, and a start time and duration for each event;
• and
• accessing dependency data for each event, the dependency data indicating that the start time for an event is dependent on a prior completion of at least one other event;
• generating a waterfall representation based on the accessed event data, the representation including:
• a first axis, a second axis orthogonal to the first axis, an entry for each event in the sequence along the first axis with a start time and duration of each event measured relative to the second axis;
• and
• analyzing the waterfall representation and the hierarchy to identify an event that has a start time that is later than a start time of an event which precedes it in the sequence and is not a child of an event which precedes it in the sequence;
• based on the dependency data, determining whether the start time for the event is dependent on a prior completion of at least one event that precedes it in the sequence;
• and
• based on the start time for the event being dependent, setting the start time for the event to a latest completion time of the at least one event that precedes it in the sequence.