Methods and systems that identify dimensions related to anomalies in system components of distributed computer systems using traces, metrics, and component-associated attribute values

A method that determines relevant attribute dimensions correlated with anomalous operational behaviors of components of a distributed computer system, the method comprising:

• collecting metric data comprising a series of timestamped metric values associated with each metric of multiple metrics, wherein each metric of the multiple metrics is associated with a component or component type of the distributed computer system;
• identifying components of the distributed computer system which exhibit anomalous operational behaviors using the collected metric data;
• accessing collected call traces from a call-tracing service;
• accessing attribute values for selected components of the distributed computer system;
• employing decision-tree-based analyses to determine relevant attribute dimensions of component types that are correlated with the identified components of the distributed computer system which exhibit anomalous operational behaviors;
• and
• transmitting the determined relevant attribute dimensions of the component types to a computational entity to facilitate amelioration of the anomalous operational behaviors.

A physical data-storage device that stores computer instructions that, when executed by one or more processors of a system that includes one or more memories and one or more mass-storage devices, controls the system to determine relevant attribute dimensions correlated with anomalous operational behaviors of components of a distributed computer system by:

• collecting metric data comprising a series of timestamped metric values associated with each metric of multiple metrics, wherein each metric of the multiple metrics is associated with a component or component type of the distributed computer system;
• identifying components of the distributed computer system which exhibit anomalous operational behaviors using the collected metric data;
• accessing collected call traces from a call-tracing service;
• accessing attribute values for selected components of the distributed computer system;
• employing decision-tree-based analyses to determine relevant attribute dimensions of component types that are correlated with the identified components of the distributed computer system which exhibit anomalous operational behaviors;
• and
• transmitting the determined relevant attribute dimensions of the component types to a computational entity to facilitate amelioration of the anomalous operational behaviors.