Real-time anomaly alerts allow you to prevent fires instead of firefighting. AIMS can predict issues within a single system and across systems. Using AIMS proprietary machine learning algorithms, AIMS detects when behavior is heading out of normal ranges and alerts you earlier – so you can take action to prevent downtime.
Auto-detection of new or removed assets and metrics is a key part of the machine learning power of AIMS. Detecting new databases, new websites, or new Azure resources not only ensures that you automatically enroll in monitoring but also allows you to audit and trace what is happening.
AIMS' modern IT monitoring solution leverages machine learning and AI to automate installation, configuration, insights and alerting while delivering time-to-value in hours and days - not weeks and months.
