Anomaly Detection in Time Series from Scratch Using Statistical Analysis

Implementing anomaly detection for time series can be challenging, with many techniques and tools available. But can you achieve effective results without AI or Machine Learning? In this talk, we will demonstrate how basic statistical methods can effectively detect anomalies in time series data. We'll show you how to use Grafana to visualize these anomalies on graphs and ensure past incidents do not impact future predictions. Additionally, we will explore building Grafana dashboards as code as part of the anomaly detection solution and adjusting the detection for various events.