System and method for performing dynamic execution of data processes in distributed server systems

A computer program product for performing dynamic execution of data processes in distributed server systems, the computer program product comprising a non-transitory computer-readable storage medium having computer executable instructions for causing a computer processor to perform the operations of:

• identifying initiation of at least one data process to be executed on at least one server of distributed server systems associated with an entity;
• onboarding a machine learning model onto the at least one server to monitor execution of the at least one data process on the at least one server, wherein the machine learning model monitors execution of the at least one data process;
• communicating with a metrics node comprising a metrics machine learning model to gather information associated with the at least one server, wherein the metrics node monitors performance of the distributed server systems comprising the at least one server, via the metrics machine learning model, wherein the metrics node communicates with the machine learning model onboarded onto the at least one server to monitor execution of the at least one data process;
• determining that the at least one server will experience degradation of performance while performing at least one step of the at least one data process based on communicating with the metrics node;
• routing the at least one step of the at least one data process to at least one new server and execute the at least one step on the at least one new server;
• determining that the at least one new server has completed execution of the at least one step;
• determining that at least one other step associated with at least one other data process needs additional processing capability for successful execution, wherein the at least one other steps associated with the at least one other data process has same requirements as the at least one step associated with the at least one data process;
• and
• routing the at least one other step associated with the at least one other data process to the at least one new server and execute the at least one other step on the at least one new server.

A computer implemented method for performing dynamic execution of data processes in distributed server systems, the method comprising:

• identifying initiation of at least one data process to be executed on at least one server of distributed server systems associated with an entity;
• onboarding a machine learning model onto the at least one server to monitor execution of the at least one data process on the at least one server, wherein the machine learning model monitors execution of the at least one data process;
• communicating with a metrics node comprising a metrics machine learning model to gather information associated with the at least one server, wherein the metrics node monitors performance of the distributed server systems comprising the at least one server, via the metrics machine learning model, wherein the metrics node communicates with the machine learning model onboarded onto the at least one server to monitor execution of the at least one data process;
• determining that the at least one server will experience degradation of performance while performing at least one step of the at least one data process based on communicating with the metrics node;
• routing the at least one step of the at least one data process to at least one new server and execute the at least one step on the at least one new server;
• determining that the at least one new server has completed execution of the at least one step;
• determining that at least one other step associated with at least one other data process needs additional processing capability for successful execution, wherein the at least one other steps associated with the at least one other data process has same requirements as the at least one step associated with the at least one data process;
• and
• routing the at least one other step associated with the at least one other data process to the at least one new server and execute the at least one other step on the at least one new server.