System for intelligent self-scheduling and autonomous healing of Kubernetes-based telecommunications networks

Abstract

A system (100) for intelligent self-classification and autonomous healing of Kubernetes-based telecommunications networks, comprising: an AI-powered anomaly detection module configured to monitor telemetry data and identify abnormal behaviors in real time; a contextual log and event correlation module configured to analyze and correlate logs, events, and configurations to determine root causes; an automatic classification and diagnostic decision module that classifies errors, prioritizes incidents, and determines corrective actions based on hybrid AI inferences; an autonomous healing and remediation module configured to perform remediation actions via Kubernetes APIs; a continuous learning module configured to update models and fault signatures based on feedback from past incidents; and a visualization and governance dashboard for monitoring system health, reviewing AI actions, and managing operational policies.

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