Problem and Anomaly Detection with Zabbix

Problem and Anomaly Detection with Zabbix

As organizations grow and the underlying infrastructures become more complex, regular problem detection approaches might become not sufficient anymore. The course focuses on advanced problem detection scenarios aimed at use cases, where static thresholds and regular problem detection logic might not suffice. Throughout the course we will look at advanced problem detection approaches such as root cause problem detection, problem correlation, enrichment and deduplication, as well as look at replacing static thresholds with dynamically calculated baseline values.

Information about the course

Designed for the product: Zabbix 8.0
Group size: Up to 10 students
Type of exam: 45 min, theoretical
Course prerequisite: None
Level: Intermediate
Course language: English or Czech — your choice for requested dates
Training format: Online · Hybrid · On-site
Course length: 1 DAY
Course price: 9 900,-€ 420$460 excluding VAT

Course content

One-day course

 
  • Reacting to log monitoring data
  • Using nodata() functions to react to lack of incoming data
  • Enriching and customizing problems with expression macros and macro functions
  • Deduplication and root cause detection with complex event processing features
  • Problem detection logic when using Zabbix proxies
  • Analyzing aggregated data
  • Advanced problem detection use cases
  • Baseline monitoring and anomaly detection
  • Predictive problem detection
  • Zabbix performance tuning
  • Noise reduction best practices
Tomáš Heřmánek

Tomáš Heřmánek

CEO & Zabbix Certified Trainer
Tomáš is a huge fan of OpenSource technologies, including Zabbix. He specializes in application servers, automation, and monitoring. Over the last ten years, he has been involved in several large-scale projects that have received extremely positive feedback. Tomáš holds a unique Zabbix Certified Trainer certificate from Zabbix SIA. Additionally, he enjoys sharing his expertise through training sessions and community events.

Additional information

No previous training required.
The course includes advanced practical exercises.
Each participant will be provided with a PDF of the presentations and practical exercises for the training.

Certificate

  • Each participant receives a certificate of attendance of the Zabbix 8.0 course.
  • After successfully passing the exam, you receive: Problem and Anomaly Detection with Zabbix certificate and digital badge.
  • Extra course certificates are issued electronically.
initMAX - certificate
Other training courses

Certificates and gifts for the course

For all attendees

Course gift
Course attendance certificate

For passing the exam

Course gift
Problem and Anomaly Detection with Zabbix certificate and digital badge

Acquired skills and knowledge

Configure dynamic problem detection thresholds

Utilize baseline monitoring and anomaly detection for dynamic problem threshold calculation.

Detect root cause problems

Reduce alert by ranking problems and reacting only to root cause problems.

Predictive problem detection

Learn how to use predictive Zabbix functions and react to problems proactively.

Provide context to problems

Utilize the collected metrics and event processing features to provide additional context to detected problems.

React to aggregated data

Use Zabbix aggregation functions to aggregate metrics and react to problems on a larger scale.

Tune your Zabbix instance

Optimize your Zabbix instance for large scale environments with complex problem detection workflows.

Outcomes

Organizational impact

During the course attendees will learn about the common pitfalls encountered in large environments with complex problem detection workflows. The lessons learned can be implemented in an organizational environment to reduce alert noise, provide additional context to detected problems and improve problem detection logic in a variety of scenarios.

Individual impact

Attendees will gain hands-on experience with scenarios, where regular problem detection logic is not sufficient and gain a better understanding of the benefits of using features such as baseline calculation and anomaly detection, root cause detection, predictive monitoring and various other advanced problem detection approaches.

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