CPC G06F 11/0793 (2013.01) [G06F 11/008 (2013.01); G06F 11/0709 (2013.01)] | 20 Claims |
1. A method for managing data processing systems based on indications of anomalous behaviors, comprising:
obtaining a new log for a data processing system of the data processing systems;
obtaining operational statistics for the data processing system based on the new log, the operational statistics indicating a level of intensity of a workload of the data processing system over a period of time;
identifying a state of the data processing system based on the operational statistics;
obtaining a trained inference model based on the state of the data processing system;
ingesting at least a portion of the new log to the trained inference model to obtain a classification for the new log, the classification indicating whether the portion of the new log comprises an anomalous log segment; and
in a first instance of the classification where the new log comprises the anomalous log segment:
executing a remediation action set to manage an impact of a potential undesired operation of the data processing system, the remediation action set being based on the anomalous log segment and comprising at least one action selected from a group consisting of: (i) disabling a function of the data processing system, (ii) transferring the workload to another data processing system of the data processing systems, and (iii) disabling a hardware component of the data processing system,
wherein obtaining the operational statistics comprises:
identifying a time period based on a first timestamp and a second timestamp from the new log; and
obtaining the operational statistics for the time period from an operational statistics log for the data processing system.
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