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

View More author details

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

Moving beyond KPIs

The process of selecting KPIs, in general, should be relatively easy, as it is likely obvious what metrics are the best indicators (if online sales are down, then the application is likely not working). But if we want to get a more holistic view of what may be contributing to an operational problem, we must expand our analysis beyond the KPIs to indicators that emanate from the underlying systems and technology that support the application.

Fortunately, there are a plethora of ways to collect all kinds of data for centralization in the Elastic Stack. The Elastic Agent, for example, is a single, unified agent that you can deploy to hosts or containers to collect data and send it to the Elastic Stack. Behind the scenes, the Elastic Agent runs the Beats shippers or Elastic Endpoint required for your configuration. Starting from version 7.11, the Elastic Agent is managed in Kibana in the Fleet user interface and can be used to add and manage integrations for popular...