Topology Matters for Networking Tools

A multilayer topology-aware network model is a critical building block for Network AIOps, resulting in:

Network semantics aware anomaly detection
Ad-hoc anomaly detection on networking constructs
Topology aware autocorrelation
Making machine learning (ML) results operationally relevant
Network lifecycle aware ML

Using this approach, Augtera Networks AIOps platform can correlate data & machine learning-based anomalies on multiple data sources to quickly determine the incident root. Augtera autocorrelates events and anomalies across multi-layer topologies and can create high-fidelity trouble tickets in platforms such as ServiceNow.

Augtera's Network Aiops platform correlates many events into a single incident. — Augtera’s Network AIOps correlates many events into a single incident.

For more information, attend “The Power of Topology-aware ML for Log Data” presentation at MPLSSD & AINETWORLD22 on April 6^th, at 15:20 pm. See agenda: https://www.uppersideconferences.com/mpls-sdn-nfv/mplswc_2022_agenda_day_2.html