Network and application performance anomalies are detected and handled in real time
A major network performance monitoring solution provider wanted to design and implement a scalable solution deployable across the client base with the goal of detecting a wide range of anomalies in the network.
We designed and developed a scalable machine learning pipeline digesting various network indicator data and applying several anomaly detectors. As a result, customers of our clients have enhanced monitoring capabilities and can detect problems in real-time.
