| CPC H04L 41/0654 (2013.01) [H04L 41/0636 (2013.01); H04L 41/16 (2013.01)] | 20 Claims |

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1. A computer-implemented method, comprising:
receiving, by a processor set, a data metrics input which corresponds with a microservice issue;
determining, by the processor set, a final outcome by multiplying each metric of the data metrics input by a weight;
determining, by the processor set, a link output based on the final outcome;
determining, by the processor set, a cost function based on the link output;
evaluating, by the processor set, that a cost output of the cost function has a minimized error;
outputting, by the processor set, a data metrics output based on the cost output of the cost function having the minimized error;
training, by the processor set, at least one machine learning (ML) model using the data metrics output;
receiving by the processor set, a new data metrics input which corresponds with another microservice issue; and
providing, by the processor set, a recommendation corresponding to the new data metrics input using the trained at least one ML model.
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