DNS Infrastructure Monitoring Using Real-Time Syslog Analysis: A Pattern-Based Approach for Enterprise Grid Networks

This paper presents the design, implementation, and evaluation of an automated DNS monitoring system deployed across a production enterprise grid comprising 20 DNS servers based on Infoblox NIOS. The system employs a pattern-based syslog analysis approach, capturing and classifying over 2,000 daily log events through a Python-based listener, a structured SQL Server database, and a Grafana visualization layer with automated alerting. Seven distinct event patterns were identified and mapped to operational significance, enabling early detection of critical failures including zone transfer interruptions and replication anomalies. The system successfully detected a zone transfer failure and replication halt before end-user impact was observed, validating the effectiveness of the proactive monitoring approach.