Refining parameter settings for copy services

A computer program product (CPP), the CPP comprising:

• a set of one or more non-transitory computer-readable storage media;
• and
• program instructions, collectively stored in the set of one or more non-transitory storage media, for causing a processor set to perform the following computer operations:
• define a fitness function for testing different configurations in a distributed site environment;
• obtain all possible configurations of a system in a test environment by instructing a production machine to audit a log that details previously used different possible configurations;
• generate a configuration table that includes all the possible configurations of the system in the test environment;
• perform a testing process for each of the configurations of the configuration table, wherein the testing process includes:
• initializing a population of a plurality of individuals, wherein each of the individuals of the population includes a plurality of random values for a subset of parameters,
• using the fitness function to evaluate a fitness of each of the individuals;
• selecting a subset of the individuals to be in a parent group,
• creating new individuals by combining information from multiple individuals in the parent group, and
• storing refined parameters of the configuration, that are determined to be optimal, to a configuration parameter table,
• wherein the refined parameters of the configuration are, in part, determined to be optimal based on use of machine learning that considers historical data,
• wherein the refined parameters of the configuration are not determined based on personal experience;
• cause a production machine to tune to the refined parameters of the configuration parameter table;
• and
• perform, subsequent to the tuning to the refined parameters, data mirroring operations within the distributed site environment,
• wherein a first performance of the distributed site environment subsequent to the tuning to the refined parameters is relatively greater than a second performance of the distributed site environment prior to the tuning to the refined parameters,
• wherein the first performance and the second performance are measured with respect to a number of timeouts, a number of thresholds, and a number of settings that conflict with one another within the distributed site environment.

A computer system (CS), the CS comprising:

• a physical processor set;
• a set of one or more non-transitory computer-readable storage media;
• and
• program instructions, collectively stored in the set of one or more non-transitory storage media, for causing the processor set to perform the following computer operations:
• define a fitness function for testing different configurations in a distributed site environment;
• obtain all possible configurations of a system in a test environment by instructing a production machine to audit a log that details previously used different possible configurations;
• generate a configuration table that includes all the possible configurations of the system in the test environment;
• perform a testing process for each of the configurations of the configuration table, wherein the testing process includes:
• initializing a population of a plurality of individuals, wherein each of the individuals of the population includes a plurality of random values for a subset of parameters,
• using the fitness function to evaluate a fitness of each of the individuals,
• selecting a subset of the individuals to be in a parent group,
• creating new individuals by combining information from multiple individuals in the parent group, and
• storing refined parameters of the configuration, that are determined to be optimal, to a configuration parameter table,
• wherein the refined parameters of the configuration are, in part, determined to be optimal based on use of machine learning that considers historical data,
• wherein the refined parameters of the configuration are not determined based on personal experience;
• cause a production machine to tune to the refined parameters of the configuration parameter table;
• and
• perform, subsequent to the tuning to the refined parameters, data mirroring operations within the distributed site environment,
• wherein a first performance of the distributed site environment subsequent to the tuning to the refined parameters is relatively greater than a second performance of the distributed site environment prior to the tuning to the refined parameters,
• wherein the first performance and the second performance are measured with respect to a number of timeouts, a number of thresholds, and a number of settings that conflict with one another within the distributed site environment.