You're reading from Machine Learning with the Elastic Stack Gain valuable insights from your data with Elastic Stack's machine learning features

Product type Paperback

Published in May 2021

Publisher Packt

ISBN-13 9781801070034

Length 450 pages

Edition 2nd Edition

Languages

Python

Tools

Elasticsearch

Concepts

Machine Learning

Authors (3):

Camilla Montonen

Rich Collier

Bahaaldine Azarmi

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Table of Contents (19) Chapters

Preface

1. Section 1 – Getting Started with Machine Learning with Elastic Stack

2. Chapter 1: Machine Learning for IT FREE CHAPTER

3. Chapter 2: Enabling and Operationalization

4. Section 2 – Time Series Analysis – Anomaly Detection and Forecasting

5. Chapter 3: Anomaly Detection

6. Chapter 4: Forecasting

7. Chapter 5: Interpreting Results

8. Chapter 6: Alerting on ML Analysis

9. Chapter 7: AIOps and Root Cause Analysis

10. Chapter 8: Anomaly Detection in Other Elastic Stack Apps

11. Section 3 – Data Frame Analysis

12. Chapter 9: Introducing Data Frame Analytics

13. Chapter 10: Outlier Detection

14. Chapter 11: Classification Analysis

15. Chapter 12: Regression

16. Chapter 13: Inference

17. Other Books You May Enjoy

Appendix: Anomaly Detection Tips

Chapter 6: Alerting on ML Analysis

The previous chapter (Chapter 5, Interpreting Results) explained in depth how anomaly detection and forecasting results are stored in Elasticsearch indices. This gives us the proper background to now create proactive, actionable, and informative alerts on those results.

At the time of writing this book, we find ourselves at an inflection point. For several years, Elastic ML has relied on the alerting capabilities of Watcher (a component of Elasticsearch) as this was the exclusive mechanism to alert on data. However, a new platform of alerting has been designed as part of Kibana (and was deemed GA in v7.11) and this new approach will be the primary mechanism of alerting moving forward.

There are still some interesting pieces of functionality that Watcher can provide that are not yet available in Kibana alerting. As such, this chapter will showcase the usage of alerts using both Kibana alerting and Watcher. Depending on your needs, you can decide...