Anomalous metrics mitigation proposal system in a cloud computing system

A system for reporting anomalous metrics in a cloud computing system, the system comprising:

• a processing system having a processor;
• and
• a computer memory including:
• a set of anomalous metrics;
• a root cause datastore that maps root causes to anomalous metrics;
• a fallback model that utilizes the root cause datastore to determine root causes for sets of anomalous metrics;
• and
• instructions that, when executed by the processing system, cause the system to carry out operations comprising:
• providing the set of anomalous metrics to the fallback model;
• based on receiving text responses from the fallback model, generating an incident report that includes a summary text response, a root cause text response, and a mitigation text response;
• and
• responding to an incident report request by providing the incident report to a computing device.

A computer-implemented method for reporting anomalous metrics in a cloud computing system, the computer-implemented method comprising:

• determining that an online model response threshold associated with an online generative language model has been satisfied;
• providing a set of anomalous metrics and a set of queries to a fallback model;
• determining, utilizing the fallback model, a root cause for the set of anomalous metrics based on analyzing mappings within a root cause datastore;
• based on receiving text responses from the fallback model, generating an incident report that includes a summary text response, a root cause text response, and a mitigation text response;
• and
• responding to a incident report request by providing the incident report to a computing device.