Minimize network downtime with AI-powered monitoring and automated incident response. DagUI generates pipelines that predict failures, detect anomalies, and automatically remediate network issues before they impact operations.
Comprehensive dashboards provide real-time visibility into network health, device status, performance metrics, and incident alerts—enabling faster fault isolation and reduced MTTR.
Network outages and performance degradation impact business operations, customer experience, and revenue. Traditional reactive monitoring means issues are discovered only after they've caused problems, leading to extended MTTR and operational disruption.
Issues are discovered only after users report problems, leading to delayed response times and extended downtime.
Network engineers spend hours manually investigating issues, correlating logs, and identifying root causes.
Without automation, Mean Time To Repair remains high, impacting service level agreements and customer satisfaction.
DagUI generates comprehensive network monitoring pipelines that collect telemetry, detect anomalies, predict failures, and automatically remediate issues—dramatically reducing MTTR.
Comprehensive Telemetry: Pipelines automatically collect and process:
Result: Real-time visibility into network health and performance across all infrastructure.
ML-Powered Anomaly Detection: Pipelines use ML models to:
Result: Issues are detected and addressed proactively, preventing outages before they happen.
Self-Healing Networks: Pipelines automatically execute remediation actions:
Result: Many issues are resolved automatically without human intervention, reducing MTTR to minutes.
Context-Aware Notifications: Pipelines provide:
Result: Network engineers receive actionable alerts with full context, enabling faster resolution.
Automated detection and remediation reduce Mean Time To Repair from hours to minutes, minimizing business impact.
ML models predict failures before they occur, enabling proactive maintenance and preventing outages.
Automated remediation and proactive monitoring ensure network reliability and meet strict SLA requirements.
Download our comprehensive guide on reducing Network MTTR with AI-powered incident intelligence. Learn how local AI deployment can accelerate fault isolation, reduce escalations, and empower NOC teams.
This comprehensive guide covers how Kaatham deploys locally to accelerate fault isolation, reduce escalations, and empower NOC teams to resolve incidents faster—without sending data to the cloud.
Schedule a demo to see how DagUI generates network monitoring and automation pipelines.
