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.

Abstract: Examples herein describe systems and methods for impact assessment in a Telco network. An impact assessment engine can receive a scenario that species a symptom for a network resource. The scenario can be specified on an administrative console. The impact assessment engine can construct failure signatures in a codebook matrix. The codebook matrix correlates problems at impacted network resources to network symptoms. Based on the scenario, the impact assessment engine can generate synthetic failure signatures and isolate a subset based on which of the synthetic failure signatures are most common. Then, the system can identify tenants and services in the Telco network impacted by the subset. This can allow administrators or an automated process to identify potential impacts before a scenario occurs.

Abstract: Examples herein describe systems and methods for impact assessment in a Telco network. An impact assessment engine can receive a scenario that species a symptom for a network resource. The scenario can be specified on an administrative console. The impact assessment engine can construct failure signatures in a codebook matrix. The codebook matrix correlates problems at impacted network resources to network symptoms. Based on the scenario, the impact assessment engine can generate synthetic failure signatures and isolate a subset based on which of the synthetic failure signatures are most common. Then, the system can identify tenants and services in the Telco network impacted by the subset. This can allow administrators or an automated process to identify potential impacts before a scenario occurs.

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.