How to Leverage Basic Statistical Methods to Detect Anomalies in Times Series

In our previous post, we described a way to automatically isolate given time series values related to trends and seasonality from the remainder. The remainder component is crucial to detect anomalies in an efficient way.  Intuitively speaking, the remainder component is … [Read more...]

AI & Advanced Time Series Analysis for Monitored Applications

While having a reliable monitoring solution for your application is important, being able to parametrize and configure thresholds and alerting is even more critical. No matter what kind of market your business is in, your web applications have seasonal patterns. For … [Read more...]