Loggenie: transformer-based aiops solution for cross-domain log anomaly detection

A system comprising:

• at least one processing device comprising a processor coupled to a memory;
• the at least one processing device being configured:
• to receive, by a log anomaly detection system, log event sequences from a source domain;
• to pretrain, by the log anomaly detection system, a model to learn common patterns and semantics from the source domain log sequences;
• to implement, by the log anomaly detection system, a Log-Attention Module to address information loss that occurs during log parsing;
• to perform, by the log anomaly detection system, adapter-based fine-tuning on the pretrained model using target domain log sequences;
• and
• to detect, by the log anomaly detection system, anomalies in the target domain log sequences using the fine-tuned model.

A computer program product comprising a non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes said at least one processing device:

• to receive, by a log anomaly detection system, log event sequences from a source domain;
• to pretrain, by the log anomaly detection system, a model to learn common patterns and semantics from the source domain log sequences;
• to implement, by the log anomaly detection system, a Log-Attention Module to address information loss that occurs during log parsing;
• to perform, by the log anomaly detection system, adapter-based fine-tuning on the pretrained model using target domain log sequences;
• and
• to detect, by the log anomaly detection system, anomalies in the target domain log sequences.