Anomaly detection is not something recent, techniques have been around for decades. Control charts are graphs with solid mathematical and statistical foundations which monitor how a process changes over time. They implement control limits which automatically flag anomalies in a process in real-time. Depending on the problem at hand, control charts might be a better alternative to more sophisticated machine learning approaches for anomaly detection.