Monitoring and Alerting

Statistical process control (SPC) for system monitoring builds dynamic control charts from historical data to establish adaptive thresholds, detecting special-cause variation without manual threshold tuning.

You can detect anomalies in system metrics by applying SPC control charts and Western Electric rules, which establish dynamic thresholds from historical data to spot special-cause variation automatically.

Yes, you can monitor latency, error rates, token usage, and quality scores for Vetinari agents by applying statistical process control to real-time metrics and generating adaptive alerts on SPC-detected anomalies.

The best way to prevent alert fatigue is using adaptive alerting that deduplicates severity-graded alerts and escalates persistent issues, replacing static thresholds with SPC-based anomaly detection.

Western Electric rules apply to anomaly detection by evaluating statistical process control charts to identify special-cause variation patterns in system metrics, triggering severity-graded alerts when rules are violated.

Yes, you need historical data to build adaptive control charts that establish dynamic thresholds and evaluate capability indices for detecting special-cause variation in system metrics.