Quantification of compute performance across multiple independently executed microservices with a state machine supported workflow graph

A set of one or more computing devices, in aggregate comprising:

• one or more processing units;
• and
• one or more computer-readable media comprising computer-executable instructions which, when executed by the one or more processing units, cause the set of computing devices to:
• receive an insight definition comprising an identification of both a start event and an end event, the start event occurring within a first service and the end event occurring within a second service, wherein execution of the first service is independent of execution of the second service;
• monitor a log listing updates to a workflow graph, the workflow graph linking entities to processes that either consume or produce the entities through one of four linkings:
• (1) a production of an entity by a process, (2) a consumption of the entity by the process, (3) an intent by the process to subsequently produce the entity or (4) an intent by the process to subsequently consume the entity;
• determine that a first update to the workflow graph corresponds to the start event;
• insert a first start marker into the log with the first update in response to the determining that the first update corresponds to the start event;
• detect a second update to the workflow graph, subsequent to the first update, the second update corresponding to the end event;
• insert a first end marker into the log with the second update in response to the determining that the second update corresponds to the end event;
• and
• generate a first notification comprising an elapsed time between the inserted first start marker and the inserted first end marker.

A method of quantifying compute performance across multiple independently executed services, the method comprising:

• receive a schematized notification of a first event from one of the multiple independently executed services, the schematized notification conforming to a universal predefined schema;
• instantiate a first separately addressable execution unit to maintain a first state machine corresponding to a state of a first process identified by the schematized notification of the first event if the first process was not previously identified by a previously received schematized notification, the one of the multiple independently executed services comprising the first process;
• cause the first separately addressable execution unit to update the first state machine in accordance with the received schematized notification if the first process was previously identified by the previously received schematized notification;
• instantiate a second separately addressable execution unit to maintain a second state machine corresponding to a state of a first entity identified by the schematized notification of the first event if the first entity was not previously identified by the previously received schematized notification, the first entity being either an input data or an output data of the one of the multiple independently executed services;
• cause the second separately addressable execution unit to update the second state machine in accordance with the received schematized notification if the first entity was previously identified by the previously received schematized notification;
• generate a log entry in a log, the log entry indicating a change to a workflow graph made by either:
• the instantiating the first separately addressable execution unit, the causing the first separately addressable execution unit to update, the instantiating the second separately addressable execution unit, or the causing the second separately addressable execution unit to update, the workflow graph linking entities to processes through one of four linkings:
• (1) a production of an entity by a process, (2) a consumption of the entity by the process, (3) an intent by the process to subsequently produce the entity or (4) an intent by the process to subsequently consume the entity
• determine that a first update to the workflow graph corresponds to a start event identified by an insight definition;
• insert a first start marker into the log with the first update in response to the determining that the first update corresponds to the start event;
• detect a second update to the workflow graph, subsequent to the first update, the second update corresponding to the end event;
• insert a first end marker into the log with the second update in response to the determining that the second update corresponds to the end event;
• and
• generate a first notification comprising an elapsed time between the inserted first start marker and the inserted first end marker, the elapsed time quantifying a subset of the compute performance across the multiple independently executed services.