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UID:pretalx-openfest-2025-KAQVM9@cfp.openfest.org
DTSTART;TZID=EET:20251018T110000
DTEND;TZID=EET:20251018T114000
DESCRIPTION:In modern IT environments\, detecting anomalies and predicting 
 future system behavior is critical for reducing noise\, preventing downtim
 e\, and ensuring service reliability. \nProprietary monitoring platforms o
 ften claim unique capabilities in this space\, but Zabbix demonstrates tha
 t open source can deliver enterprise-class observability without vendor lo
 ck-in.\n\nThis talk will explore how Zabbix enables anomaly detection and 
 prediction through:\n\n•	Baselining techniques \n•	Dynamic anomaly det
 ection \n•	Prediction functions \n•	Trigger logic & hysteresis \n•	M
 achine learning vs statistical approaches \n\nAttendees will learn practic
 al methods to set up baselines\, configure anomaly detection\, and impleme
 nt predictive triggers in Zabbix - all with 100% open-source technology.\n
 This will demonstrate that open-source monitoring is not just “good enou
 gh\,” but fully capable of matching and even surpassing the features of 
 vendor solutions.\n\nSpeaker: Aldin Osmanagic\, System Engineer\, Telelink
  Business Services (TBS)
DTSTAMP:20260417T122844Z
LOCATION:Hall B
SUMMARY:Anomaly Detection and Prediction in Zabbix: Enterprise-Class Observ
 ability with Open Source Power - Aldin Osmanagić
URL:https://cfp.openfest.org/openfest-2025/talk/KAQVM9/
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