Amazon CloudWatch Anomaly Detection applies machine-learning algorithms to continuously analyze single time series of systems and applications, determine a normal baseline, and surface anomalies with minimal user intervention. It allows you to create alarms that auto-adjust thresholds based on natural metric patterns, such as time of day, day of week seasonality or changing trends. You can also visualize metrics with anomaly detection bands on dashboards, monitoring, isolating, and troubleshooting unexpected changes in your metrics.
