Self-managing database system using machine learning

A computer-implemented method comprising:

• collecting metrics data from one or more databases of a computing system;
• analyzing the metrics data and detecting one or more anomalies;
• marking one or more nodes in a knowledge representation corresponding to the metrics data for the one or more anomalies and determining a root cause with a highest probability of causing the one or more anomalies using the knowledge representation;
• and
• taking at least one remedial action for the one or more databases in response to determination of the root cause.

A tangible, non-transitory computer-readable storage medium having instructions encoded thereon which, when executed by a processing device, cause the processing device to:

• collect metrics data from one or more databases of a computing system;
• analyze the metrics data and detecting one or more anomalies;
• mark one or more nodes in a knowledge representation corresponding to the metrics data for the one or more anomalies and determine a root cause with a highest probability of causing the one or more anomalies using the knowledge representation;
• and
• take at least one remedial action for the one or more databases in response to determination of the root cause.