Abstract: A device may process text included in an electronic issue ticket to identify a set of terms or a pattern of terms included in the text. The electronic issue ticket may be related to an issue associated with a computing device. The device may classify the electronic issue ticket into an issue category of a set of issue categories. The set of issue categories may be related to various issues associated with various computing devices. The device may monitor a counter for a set of thresholds associated with the issue category. The device may detect a possible underlying problem among the various computing devices. The device may generate an electronic problem ticket for the possible underlying problem. The device may append the electronic problem ticket with information related to the electronic issue ticket or one or more other electronic issue tickets. The device may perform one or more actions.

Abstract: A device may process text included in an electronic issue ticket to identify a set of terms or a pattern of terms included in the text. The electronic issue ticket may be related to an issue associated with a computing device. The device may classify the electronic issue ticket into an issue category of a set of issue categories. The set of issue categories may be related to various issues associated with various computing devices. The device may monitor a counter for a set of thresholds associated with the issue category. The device may detect a possible underlying problem among the various computing devices. The device may generate an electronic problem ticket for the possible underlying problem. The device may append the electronic problem ticket with information related to the electronic issue ticket or one or more other electronic issue tickets. The device may perform one or more actions.

Abstract: A device may obtain first information related to network devices of a network. The device may obtain second information related to the network devices and/or to one or more historic network service incidents. The one or more historic network service incidents may be related to network services provided in association with the network devices. The one or more historic network service incidents may include outages and/or degradations of one or more network services. The device may perform an analysis of the first information and the second information. The device may train a predictive model based on the analysis of the first information and the second information. The predictive model may predict a probability of a future network service incident based on the first information and/or the second information. The device may cause third information, related to the network devices, to be monitored based on the predictive model.

Abstract: A device may obtain first information related to network devices of a network. The device may obtain second information related to the network devices and/or to one or more historic network service incidents. The one or more historic network service incidents may be related to network services provided in association with the network devices. The one or more historic network service incidents may include outages and/or degradations of one or more network services. The device may perform an analysis of the first information and the second information. The device may train a predictive model based on the analysis of the first information and the second information. The predictive model may predict a probability of a future network service incident based on the first information and/or the second information. The device may cause third information, related to the network devices, to be monitored based on the predictive model.