Anomaly Detection and Alerting on Log Data


Course Summary

Indexing and storing logs in Elasticsearch is an important step in achieving visibility into your organizational log data, but what good is the data if it’s not actionable? In this course, you will learn how to leverage the Elastic Stack machine learning and alerting features to help you keep a closer eye on your logs. You will learn how to configure machine learning jobs and watches to get alerted when anomalies occur. After completing this course, you’ll be able to more easily focus on important issues that could otherwise be missed within gigabytes of logs.

Topics Covered

  • The Importance of Logs
  • Log Data and Index Patterns
  • Organizational Benefits of Unifying Logs, Metrics, and other Data
  • Introduction to the Elastic Stack

Course Details

This course is a module of the Logging specialization. Find out how our focused Training Specializations can help you with your use case.


Software Developers and Engineers, Data Architects, System Administrators, DevOps


Virtual - 1 day | 2-3 hours

Upcoming Classes

Virtual Schedule


We recommend taking the following foundational courses (or having equivalent knowledge):


  • Stable internet connection
  • Mac, Linux, or Windows
  • Latest version of Chrome or Firefox (other browsers not supported)
  • Disable any ad blockers and restart your browser before class

Upcoming Classes — Anomaly Detection and Alerting on Log Data

No classes are currently scheduled for this course. Browse our upcoming trainings to see what trainings are currently available.