Log analysis system employing long short-term memory recurrent neural net works

A log analyzer system having memory and processing circuitry, the memory storing computer program instructions executed by the processing circuitry to process system logs to identify and report anomalies in execution of one or more processes of a log-generating computerized system, the processing of the system logs including:

• vectorizing log messages of the system logs to generate corresponding log-message vectors;
• applying long short-term memory (LSTM) neural network processing to the log-message vectors to generate an LSTM output sequence representing a production flow of the processes;
• applying second-level neural network processing to a combination of the LSTM output sequence and a training sequence to generate an analysis sequence containing a representation of anomalies in the production flow of the processes, the training sequence generated from a non-anomalous training flow of the processes;
• and
• based on the analysis sequence, generating an anomaly report and providing it to a report consumer for taking further action with respect to the anomalies represented in the analysis sequence.