Prescriptive analytics for network services
Abstract:
The disclosure provides an approach for prescriptive analytics for network services. Embodiments include receiving one or more rules for anomaly detection. Embodiments include receiving metric data of one or more services and collecting context data related to the metric data. Embodiments include determining a baseline for the metric data. Embodiments include detecting an anomaly based on analysis of the metric data in view of the baseline for the metric data and the one or more rules for anomaly detection. Embodiments include associating the anomaly with a subset of the context data that is related to the anomaly. Embodiments include determining a score for the anomaly based on the analysis and determining that a notification should be generated based on the score. Embodiments include providing the notification to a user interface for display. The notification comprises includes an indication of the anomaly and the subset of the context data.
Public/Granted literature
Information query
Patent Agency Ranking
0/0