ignio AI Agent for Event Management for Azure Monitor

Cloud operations teams and SREs can take Azure resilience to the next level with ignio Event Management AI Agent that is trained to manage the scale and complexities of modern enterprise technologies, leveraging domain-specific AI/ML models for correlation, aggregation and prediction.

With ignio, modern enterprises can be ready for the scale and complexities of cloud adoption and improve operational cost and efficiency in dealing with Azure environments.

ignio comes with pre-integrated setup for Azure Monitor, helping it perceive the telemetry data coming in from Azure ecosystem, and understand dynamic behaviour, trends and patterns from past data, and establish dynamic thresholds.

ignio has built-in ability to auto-discover your Azure topology, helping the agent quickly learn contextual knowledge of your topology dependencies, and continually adapt to changing ecosystem, enabling accelerated adoption.

ignio uses inbuilt reasoning to orchestrate the right agents and autonomously select the appropriate strategies from various suppression, correlation and prediction techniques, helping it take multiple actions.

ignio™ eliminates noise by identifying genuine, actionable signals from Azure Monitor generated telemetry data, and autonomously suppressing the false and redundant alerts, or grouping related alerts.

ignio™ predicts potential service disruptions before they impact end-user experience, using historical pattern mining, real-time anomaly detection, and actionable insights giving your teams more time to respond to critical events

ignio™ delivers actionable insights by analyzing the anomalies, correlating associated signals and providing contextual insights for quick and efficient resolution.

ignio also automatically creates a ticket in ITSM, for the genuine alerts, to enable incident management.

With ignio, customers have achieved

· 88% reduction in alert noise

· 20+ mins early detection of anomalies

· 60-90% reduction in MTTD and MTTR