Machine Learning Auto-Diagnostics Engine
Kadiska has launched a machine learning engine with our first feature: a powerful capability that automates the diagnosis of network-related issues. Previously, users had to perform manual analysis when network problems were detected by Kadiska Tracers.
Learn more by watching this short demo video.
Kadiska's Net-Tracer network performance monitoring provides end-to-end network visualization to detect and diagnose network issues impacting digital experience. It tracks the key performance indicators of network performance: latency, packet loss and number of hops on the path. All these metrics are continuously collected for a complete history.
Tracer can identify where on the path degradations are negatively impacting the end-to-end network performance. Tracer can help you understand on which segment of the path packet loss or increased latency due to a congestion is occurring and hence take the right decision to remediate.
With the machine learning engine, users can now rely on Kadiska to perform the analysis for them. This engine utilizes advanced algorithms and data analysis techniques to automatically identify and diagnose network issues, saving users time and effort.
Learn More About Net-Tracer
https://kadiska.com/product/net-tracer/