See how Anodot has changed how gaming companies like King and Outfit7 detect, diagnose and address abnormalities.

The increasingly agile, data-driven approach to development, parsing user data and releasing new versions regularly, has left many in data operations at a loss. So how do you identify unknown unknowns happening right under your nose?

Find out how Anodot is helping a telco company analyze and generate actionable insights from terabytes of siloed network data.

In part two of the "Metrics At Scale" series, we look at the challenges of managing metrics at scale and show how to bring order to this pressing situation.

Watch to learn how predictive anomaly detection can detect business incidents in real time, and hear how companies are using it to prevent revenue loss.

Anodot is one of five companies identified in this year’s report as “innovative vendors redefining the types of analysis that are feasible for organizations to perform” by providing high levels of automation or extending analytics’ reach to new classes of user and new types of decisions.

Developers only cover the tech aspect of monitoring. So who’s monitoring the business funnel? We offer three tips for sustainable product quality, so you can rest assured everything's performing as it should.

“Even with our massive dataflow, Anodot has proven it can seamlessly correlate data across millions of real-time streaming metrics - alerting us immediately so we can react instantly.”

In the first part of our "Metrics At Scale" series, we start by examining multivariate anomalies and why correlation is key to root cause investigation.