Abstract: Network alert detection utilizing trained edge classification models is described. An example of a computing system includes a processor and a memory storing instructions that cause the processor to train one or more classification models at a core for detection of signatures based on training data derived from a set of error codes; deploy the one or more trained classification models at an edge of a network; receive alerts from one or more nodes in one or more clusters of nodes in the network; detect one or more signatures by processing the received alerts at the one or more trained classification models; and perform one or more actions to address a signature that is detected by the one or more trained classification models.