Anomaly detection, alerting, and failure correction in a network

Abstract

In furtherance of providing uninterrupted network service, a data analyzer engine in a network environment aggregates real-time feedback from multiple resources that collectively provide delivery of content to multiple subscribers in a network environment. According to one arrangement, the multiple resources are disposed along a network communication path between a content delivery source and the subscriber. Based on analyzing the aggregated real-time feedback from the multiple resources disposed along the network communication path, assume that the data analyzer engine detects occurrence of multiple anomaly conditions at a location in the network communication path. Each of the anomaly condition may or may not be representative of an actual network resource failure. In response to detecting first occurrence of the anomaly conditions, the data analyzer engine initiates generation of a notification to appropriate network management personnel indicating the occurrence of the detected anomaly condition. The network management personnel determine a root cause of the first occurrence of the detected anomaly conditions and provide feedback indicating the root cause and how to correct it. Subsequent to learning and recording a pattern of first detected anomaly conditions and the corresponding root cause, a data analyzer engine compares the learned pattern to future received real-time feedback. Upon detecting a match of the learned pattern to a future occurrence of a same set of anomaly conditions, the analyzer engine provides notification to network management personnel to address the network failure. The notification can include information indicating the likely root cause of the newly detected anomaly condition (which matches a pattern of the originally detected anomaly) as well as how to fix it.