Keysight Technologies announced the addition of new machine learning (ML) features in the Hawkeye active network monitoring platform from Ixia, a Keysight business.
The addition of machine learning enables Hawkeye to help enterprises shorten outages and improve network uptime by quickly detecting, identifying and resolving network anomalies.
“Keysight’s Hawkeye utilizes the power of machine learning to help network operations teams make sense of their increasingly complex networks,” said Recep Ozdag, VP and GM of Visibility at Keysight’s Network Applications & Security Group (formerly Ixia Solutions Group). “Network operations teams struggle to correlate raw performance metrics with actual network problems. Hawkeye’s new machine learning capabilities offer insight into meaningful variations enabling these teams to quickly be alerted to real outages, congestion and application performance issues.”
Hawkeye features automatic threshold and outlier detection which combines machine learning-based problem detection with customizable sensitivity criteria. It cuts through clutter and immediately notifies network operations teams of potential problems. An outlier dashboard enables these teams to easily see potential problems in one place offering built-in, drill down visualizations that assist with root cause analysis and resolution.
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