Methods and systems for performing application diagnostics via distributed tracing with enhanced observability

A computer system for performing diagnostics of an application executing in a cloud infrastructure, the system comprising:

• one or more processors;
• one or more data-storage devices;
• a display device;
• and
• machine-readable instructions stored in the one or more data-storage devices that when executed using the one or more processors controls the system to perform the operations comprising:
• collecting spans that represent operations performed by microservices of the application in response to requests for services executed by the application;
• for each service executed by the application, forming a trace from the spans of the microservices that executed operations to provide the service;
• projecting binary vector representations of the traces onto a behavioral map in two-dimensional space, the behavioral map having points that represent the traces in two dimensions;
• and
• displaying a graphical user interface (“GUI”) on the display device, the GUI having a pane that displays the behavioral map and functionalities that enables a user to launch operations for investigating traces based on trace type and duration and launch machine learning models to investigate performance problems with microservices and latency of microservices.

A non-transitory computer-readable medium encoded with machine-readable instructions that implement a method carried out by one or more processors of a computer system to perform the operations comprising:

• collecting spans that represent operations performed by microservices of the application in response to requests for services executed by the application;
• for each service executed by the application, forming a trace from the spans of the microservices that executed operations to provide the service;
• projecting binary vector representations of the traces onto a behavioral map in two-dimensional space, the behavioral map having points that represent the traces in two dimensions;
• and
• displaying a graphical user interface (“GUI”) on a display device, the GUI having a pane that displays the behavioral map and functionalities that enables a user to launch operations for investigating traces based on trace type and duration and launch machine learning models to investigate performance problems with microservices and latency of microservices.