AI interface flap Detection
NetOpsVA, an AI-powered network operations virtual appliance designed for interface flap detection and anomaly analysis. Its core objective is to offer real-time visibility into network interface behavior, identifying frequent up/down transitions (flaps) and predicting potential anomalies using AI models like Isolation Forest. The system employs a memory-optimized design and an architecture that polls SNMP data, stores interface states in a database, and processes them for both classic flap detection and AI-based anomaly identification. Ultimately, NetOpsVA aims to provide proactive network management and reduce manual effort by highlighting problematic interfaces through a dashboard view that displays classic flaps and AI-predicted anomalies.