Automated reconstruction system and method for sequences of events arising from a root cause impact in network environments

A device, comprising:

• one or more processors configured to execute a set of processor-executable instructions, wherein executing the set of processor-executable instructions causes the one or more processors to:
• identify a first event, occurring at a first time, associated with a first network device of a network;
• identify a second event, occurring at a second time that is prior to the first time and is associated with a second network device of the network;
• identify a particular set of network devices, of the network, that are communicatively coupled to the second network device;
• identify a set of events, associated with the particular set of network devices, that occur within a particular time window that includes the second time;
• determine, using one or more artificial intelligence/machine learning (AI/ML) models trained on operation of the network, a particular sequence of events of the set of events;
• identify one or more impacted network elements based on the particular sequence of events;
• and
• implement one or more remediation operations with respect to the impacted network elements.

A non-transitory computer-readable medium, storing a plurality of processor-executable instructions, which, when executed by one or more processors, cause the one or more processors to:

• identify a first event, occurring at a first time, associated with a first network device of a network;
• identify a second event, occurring at a second time that is prior to the first time and is associated with a second network device of the network;
• identify a particular set of network devices, of the network, that are communicatively coupled to the second network device;
• identify a set of events, associated with the particular set of network devices, that occur within a particular time window that includes the second time;
• determine, using one or more artificial intelligence/machine learning (AI/ML) models trained on operation of the network, a particular sequence of events of the set of events;
• identify one or more impacted network elements based on the particular sequence of events;
• and
• implement one or more remediation operations with respect to the impacted network elements.