US 12,452,122 B2
Anomalous metrics mitigation proposal system in a cloud computing system
Myriam Titon, Jerusalem (IL); Rachel Lemberg, Herzliya (IL); Michael Alburquerque, Tel Aviv-Jaffa (IL); Yaniv Lavi, Tel Aviv-Jaffa (IL); Eliya Habba, Jerusalem (IL); Jeremy Samama, Netanya (IL); and Hagit Grushka, Lehavim (IL)
Assigned to Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed by Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed on Apr. 15, 2024, as Appl. No. 18/635,864.
Claims priority of provisional application 63/535,953, filed on Aug. 31, 2023.
Prior Publication US 2025/0080396 A1, Mar. 6, 2025
Int. Cl. H04L 43/08 (2022.01); H04L 41/0631 (2022.01); H04L 43/045 (2022.01); G06F 16/35 (2025.01); G06F 21/56 (2013.01)
CPC H04L 41/0631 (2013.01) [H04L 43/08 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for reporting anomalous metrics in a cloud computing system, the computer-implemented method comprising:
in response to receiving an incident report request, providing a first input including a set of anomalous metrics to an online generative language model;
determining that an online model response threshold associated with the online generative language model has been satisfied;
based on determining that the online model response threshold has been satisfied, providing the set of anomalous metrics and a set of queries to a fallback model, the fallback model utilizing a root cause datastore to determine a root cause for the set of anomalous metrics;
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 the incident report request with the incident report.