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

Understanding the importance and limitations of KPIs

Because of the problem of scale and the desire to make some amount of progress in making the collected data actionable, it is natural that some of the first metrics to be tackled for active inspection are those that are the best indicators of performance or operation. The KPIs that an IT organization chooses for measurement, tracking, and flagging can span diverse indicators, including the following:

Customer experience: These metrics measure customer experience, such as application response times or error rates.
Availability: Metrics such as uptime or Mean Time to Repair (MTTR) are often important to track.
Business: Here we may have metrics that directly measure business performance, such as orders per minute or number of active users.

As such, these types of metrics are usually displayed, front and center, on most high-level operational dashboards or on staff reports for employees ranging from technicians...