Abstract: As described herein, a system, method, and computer program are provided for identifying foreign keys between distinct tables based on a statistical analysis of table values. In use, a plurality of candidate field combinations are determined between a first table and a second table. A statistical analysis of values stored in fields of each candidate field combination of the plurality of the candidate field combinations is performed. Foreign keys between the first table and the second table are identified, based on a result of the statistical analysis.

Abstract: A system, method, and computer program product are provided for performing health checks on a system including a plurality of heterogeneous system components. In use, incoming metrics are received from a system including a plurality of heterogeneous components. Each of the incoming metrics are associated with one or more of the plurality of heterogeneous components. An expected value is identified for each of the received metrics from a repository including a plurality of expected values each associated with one or more of a plurality of metrics. Values of each of the received metrics are compared with a corresponding identified expected value to identify one or more anomalies in the received metrics. Further, at least one rule to utilize is identified, based on the identified one or more anomalies in the received metrics. Additionally, one or more solutions to remedy at least one cause of the one or more anomalies in the received metrics are identified, based on the at least one rule.