Abstract: Methods, systems, apparatus, and non-transitory media are described for governing resources used to execute and retrieve database entries in accordance with an ad-hoc structured query language (SQL) script. Various aspects are described to determine whether a written SQL script is optimized, to execute the SQL script if it is optimized, and to otherwise reject unoptimized SQL scripts. The resources used during the execution of the SQL script may further be monitored to control resource use, and the execution of SQL scripts may be ceased if a processor-based resource limit threshold is exceeded. The SQL script execution system may be implemented in a wide variety of systems, such as database servers. The scripts may be executed in conjunction with scrubbing and encryption scripts to protect sensitive data, and thus the SQL scripts may be received via one or more public APIs.

Abstract: The present embodiments relate generally to the enforcement of guidelines, standards, and best practices for software applications. According to certain aspects, a method of retrieving, by a self-management engine from a data storage device, health data indicative of a utilization of a collection of data by one or more computing devices is disclosed, including detecting, by the self-management engine, a pattern in the utilization of the collection of data based on the health data; automatically determining, by the self-management engine, a correction to be applied to the collection of data based on the detected pattern and based on one or more rules corresponding to the detected pattern; and causing, by the self-management engine, the correction to be applied to the collection of data.

Abstract: The present embodiments relate generally to the enforcement of guidelines, standards, and best practices for software applications. According to certain aspects, a method of retrieving, by a self-management engine from a data storage device, health data indicative of a utilization of a collection of data by one or more computing devices is disclosed, including detecting, by the self-management engine, a pattern in the utilization of the collection of data based on the health data; automatically determining, by the self-management engine, a correction to be applied to the collection of data based on the detected pattern and based on one or more rules corresponding to the detected pattern; and causing, by the self-management engine, the correction to be applied to the collection of data.

Abstract: A method for regulating a plurality of collections of data includes, for each of a plurality of collections of data, analyzing the collection of data to identify one or more deviations from a standard, guideline, or best practice governing the plurality of collections of data. The method further includes determining a characteristic of the one or more deviations and, based on the characteristic, determining an action to be executed in response to the one or more deviations.

Abstract: A method for regulating a plurality of collections of data includes analyzing collections of data to identify one or more deviations from a standard, guideline, or best practice governing the plurality of collections of data. The method further includes determining characteristics of the one or more deviations. Based on the characteristics, an action to be taken in response to the one or more deviations is determined and completed. Further, a record of the executed action is stored on a computer-readable medium.