Advanced Problem and Anomaly Detection with Zabbix

The course is fully dedicated to problem detection, from creating simple triggers to using new long-term analytics functions. Best practices would be demonstrated, like avoiding problem flapping and avoiding duplicated problems using Trigger dependencies or event correlations based on tags. It would also cover Zabbix tuning with detecting the most sensitive triggers and defining custom thresholds using context based user macros.

The course aims to show how to find the most appropriate way of detecting problems under different scenarios.

Products covered Zabbix 6.0
Format Classroom
Group size In groups up to 10 persons
期間 1日間
Course requirements None

Acquired skills and knowledge

  • Detect problems by configuring Zabbix triggers to analyze collected metrics in a variety of ways
  • Detect problems in numeric and string data
  • Populate the detected problems with additional information about the environment in question
  • Prevent trigger flapping and alert storms
  • Analyze and compare long-term data trends and react to unexpected changes
  • Aggregate the collected metrics and detect problems across large data sets
  • Monitor data baseline values and react to unexpected deviations
  • Dynamically detect and react to anomalous data points
  • Use forecasting functions and proactively react to predicted problem states
  • Reduce the number of alerts by defining dependencies between components such as routers and switches or any other interconnected elements
  • Receive alerts about root cause problems by configuring Zabbix event correlation features

Course program

Day 1

Course attendance certificate

There is no exam after the course, but every attendee gets an official Zabbix certificate.

Apply for course Course schedule