Anomaly Detection and Prediction in Zabbix: Enterprise-Class Observability with Open Source Power
In modern IT environments, detecting anomalies and predicting future system behavior is critical for reducing noise, preventing downtime, and ensuring service reliability.
Proprietary monitoring platforms often claim unique capabilities in this space, but Zabbix demonstrates that open source can deliver enterprise-class observability without vendor lock-in.
This talk will explore how Zabbix enables anomaly detection and prediction through:
• Baselining techniques
• Dynamic anomaly detection
• Prediction functions
• Trigger logic & hysteresis
• Machine learning vs statistical approaches
Attendees will learn practical methods to set up baselines, configure anomaly detection, and implement predictive triggers in Zabbix - all with 100% open-source technology.
This will demonstrate that open-source monitoring is not just “good enough,” but fully capable of matching and even surpassing the features of vendor solutions.
Speaker: Aldin Osmanagic, System Engineer, Telelink Business Services (TBS)