System Operational Analytics Using Additional Features for Health Score Computation

A system, comprising:

• a memory;
• and
• at least one processing device, coupled to the memory, operative to implement the following steps:
• obtaining log data from one or more data sources associated with a monitored system;
• applying at least one counting function to said log data to obtain a plurality of time-series counters for a plurality of distinct features within the log data;
• applying at least one additional function to said plurality of time-series counters for the plurality of distinct features;
• and
• processing an output of the at least one additional function using at least one machine learning model to obtain a health score for said monitored system based on said output of the at least one additional function.

A computer program product, comprising a tangible machine-readable storage medium having encoded therein executable code of one or more software programs, wherein the one or more software programs when executed by at least one processing device perform the following steps:

• obtaining log data from one or more data sources associated with a monitored system;
• applying at least one counting function to said log data to obtain a plurality of time-series counters for a plurality of distinct features within the log data;
• applying at least one additional function to said plurality of time-series counters for the plurality of distinct features;
• and
• processing an output of the at least one additional function using at least one machine learning model to obtain a health score for said monitored system based on said output of the at least one additional function.