VSAT AIOps Nexus
An AI-driven platform designed to provide real-time monitoring, anomaly detection, and predictive maintenance for critical VSAT infrastructure.
Confidentiality Notice
Specific node locations and highly sensitive operational data have been sanitized or omitted.
Main telemetry overview and predictive alerts
The Problem
Traditional SNMP-based monitoring tools failed to predict satellite link degradations caused by weather anomalies or hardware degradation, leading to reactive instead of proactive maintenance.
The Solution
Developed an AIOps Nexus that ingests high-frequency telemetry data, applies local LLM analysis for log interpretation, and utilizes machine learning for predictive anomaly detection.
Architecture & Features
- ▹Real-time telemetry aggregation and visualization
- ▹Predictive link degradation alerts based on ML models
- ▹Automated remediation workflows via NetDevOps
- ▹Local LLM integration for rapid root cause analysis generation
Architectural Patterns
Business Impact
Reduced Mean Time To Resolution (MTTR) by 45%
Predicted 80% of link failures before they impacted critical aviation services
Streamlined NOC operations and reduced alert fatigue