Performance Monitoring
Real-time network performance monitoring with AI anomaly detection
Performance Monitoring provides continuous visibility into network health across all client environments. AI-powered baseline analysis learns normal performance patterns for each network segment, enabling instant detection of anomalies that traditional threshold-based monitoring would miss.
The system monitors bandwidth utilization, latency, packet loss, jitter, and application performance in real time. When performance degrades, AI correlates metrics across multiple points to identify the root cause — whether it's a failing switch, congested link, or misconfigured QoS policy.
Predictive analytics forecast when network capacity will be exhausted, enabling proactive upgrades before users experience degradation.
How It Works
Monitor
Continuous collection of network performance metrics across all segments.
Baseline
AI learns normal patterns to establish dynamic baselines.
Detect
Anomaly detection identifies deviations from expected behavior.
Diagnose
Root cause analysis correlates metrics across the network path.
AI Capabilities
Dynamic baselining
Anomaly detection
Root cause correlation
Capacity forecasting
Human-in-the-Loop Checkpoints
- Review anomaly alerts
- Approve capacity recommendations
- Validate baseline accuracy
Key Metrics
Connected Process Areas
This process area integrates with related capabilities across the platform.
See Performance Monitoring in Action
Experience AI-powered network ops automation — from insight to action in a single platform.