Explore a 34-minute conference talk from SREcon24 Europe/Middle East/Africa that demonstrates how to implement anomaly detection in time series data using fundamental statistical methods rather than AI or machine learning approaches. Learn to leverage Grafana for visualizing anomalies on graphs while ensuring historical incidents don't affect future predictions. Discover techniques for building Grafana dashboards programmatically as part of the anomaly detection solution, and understand how to fine-tune detection parameters for various events. Through Ivan Shubin's presentation, master practical approaches to time series analysis that prove effective without requiring complex machine learning algorithms.