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 to more easily focus on important issues that could otherwise be missed within gigabytes of logs.

  • 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 Classroom - 1 day | 2-3 hours

Virtual Classroom Schedule

  • Stable internet connection
  • Mac, Linux, or Windows
  • Latest version of Chrome or Firefox (Safari is not 100% supported)
  • Due to virtual classroom JavaScript requirements, we recommend that you disable any ad-blockers and restart your browser before class.

Upcoming Classes — Anomaly Detection and Alerting on Log Data

It was awesome. Both instructors are great speakers. They have a wide and deep knowledge about the topic, and they know how to pass it on. They are infecting with their enthusiasm.

Mariusz Kuskowski | Allegro Group