CTO Andrey Kuzin shares how he and his team use Anodot to catch network incidents faster and lower time to remediation.

Anodot’s autonomous network monitoring platform provides the ability to monitor cross-layer network performance and service experience in one platform. Watch to learn more.

Watch this 2-minute video to learn more about the Anodot Autonomous Analytics platform.

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

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.

“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.”

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.

See how Foursquare used Anodot to shift from a manual, reactive process to automated, proactive application services management.

Our customer success team offers a brief introduction to machine learning anomaly detection for monitoring your revenue streams. In addition to actual customer alerts, we show the ROI they've seen with early incident detection.