Infrastructure monitoring
InsightMon offers AI-driven 360-degree real-time monitoring, rapid issue identification, and preemptive failure prevention, enhancing system stability.
End-to-end real-time monitoring helps users comprehensively, instantly, and swiftly identify and resolve issues
- Out-of-the-box data monitoring analysis templates
- Flexible multi-dimensional filtering of key indicators
- Rapidly correlating upstream and downstream anomalies for precise root cause identification, optimizing application performance and accelerating fault troubleshooting
Simplify monitoring data, quickly grasp key performance trends, and provide in-depth business insights.
- Real-time dynamic data visualization charts Efficient and flexible data aggregation and analysis processing
- Automated monitoring of key performance indicators
- AI-driven intelligent chart interpretation, deep analysis, and trend prediction based on AI algorithms and big data The application of AI algorithms further enhances the interpretation of visual data, providing early warnings for potential system issues by intelligently identifying anomalies and trends in the data.
Provides millisecond alerts and real-time responses by swiftly capturing faults and filtering key alarm messages with AI.
- Alert response time: "millisecond" level, meeting real-time analysis standards for containers or kernels.
- Custom single-dimensional alerts + multi-dimensional compound alerts = topological alarm system.
- Instant alerts via multiple channels for efficient operation and maintenance.
- High-precision alert mechanism + instant response shorten fault identification, root cause location, and response time, boosting fault
AI-driven fault analysis and predictive maintenance swiftly identify root issues and take preemptive action.
- Intelligent real-time abnormal event analysis to pinpoint root causes.
- Deep analysis with historical abnormal data.
- Tailored fault responses and improvement suggestions.
- AI algorithms predict and preempt potential issues.
- Tailored fault responses and improvement suggestions.
- Closed-loop AIOps from monitoring to root cause analysis，truly AI-driven operational management.