LIVEACTION 27/02/2021

LiveNA Network and Application Anomaly Detection

AIOps for Enterprise Network Monitoring LiveNA uses Artificial Intelligence and Machine Learning to provide expert insights to application and network performance. Application Performance Optimization Baseline how applications are performing and their utilization of resources across the network. Anomaly Identification Apply Artificial Intelligence and Machine Learning to determine when application or network anomalies occur. Proactive …

AIOps for Enterprise Network Monitoring

LiveNA uses Artificial Intelligence and Machine Learning to provide expert insights to application and network performance.

Application Performance Optimization

Baseline how applications are performing and their utilization of resources across the network.

Anomaly Identification

Apply Artificial Intelligence and Machine Learning to determine when application or network anomalies occur.

Proactive Management of Application SLAs

Receive alerts when application performance or network utilization deviates from baselines.

LiveNA Delivers Intelligent Insights to Applications and Network Performance

Automatically know when applications are not behaving as expected and prevent impacts to the business

Application Utilization Baselining

LiveNA learns the utilization patterns of the top network applications, baselines them on a per device per direction basis, and detects anomalies when the utilization deviates from learned normal behavior.

Application Performance Baselining

LiveNA learns the application performance of the top network applications, baselines them on a per device per direction basis, and detects anomalies when the performance deviates from learned normal behavior.

Anomaly Prioritization

Top Anomalies and Insights can be quickly understood in context per application, per site, and per device. This allows context relevant drill-down to anomaly details.

Enterprise Scale

Ingestion and processing of massive enterprise data sets combined with AI-driven analysis to provide anomaly detection at scale. This allows teams to be presented prioritized issues without searching through vast data sets.