Anomaly Detection for Monitoring Paper

Monitoring is currently undergoing a significant change. Until two or three years ago, the main focus of monitoring tools was to provide more and better data. Interpretation and visualization has too often been an afterthought.

These days, systems are getting larger and more dynamic. Running hundreds of thousands of servers with continuous new code pushes in elastic, self-scaling server environments makes data interpretation more complex than ever. We as an industry have reached a point where we need software tooling to augment our human analytical skills to master this challenge.

A lot of papers like this are targeted toward mathematicians—if you want to learn more on topics like anomaly detection for example, you are quickly exposed to very advanced content. This paper, written by practitioners in the space, finds the perfect balance.