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.

Roy Ben-Alta, solution architect and principal business development manager at Amazon Web Services, and Anodot’s Chief Data Scientist Dr. Ira Cohen present various design patterns and share a solution implemented using Amazon Kinesis as a real-time event data processing pipeline that feeds Anodot’s AI-based analytics service, discovering and alerting on the anomalies in the data in real time and helping you avoid costly business incidents.

Get out of "Memento" mode and don’t be left guessing what’s happening with your business’ key data.

Yes, "Star Wars:, the classic space opera full of mystical intrigue and epic power struggles. Yet, at the center of the movie, data plays a critical role.