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Elastic Stack 8.x Cookbook

You're reading from   Elastic Stack 8.x Cookbook Over 80 recipes to perform ingestion, search, visualization, and monitoring for actionable insights

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781837634293
Length 688 pages
Edition 1st Edition
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Authors (2):
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Yazid Akadiri Yazid Akadiri
Author Profile Icon Yazid Akadiri
Yazid Akadiri
Huage Chen Huage Chen
Author Profile Icon Huage Chen
Huage Chen
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Toc

Table of Contents (16) Chapters Close

Preface 1. Chapter 1: Getting Started – Installing the Elastic Stack 2. Chapter 2: Ingesting General Content Data FREE CHAPTER 3. Chapter 3: Building Search Applications 4. Chapter 4: Timestamped Data Ingestion 5. Chapter 5: Transform Data 6. Chapter 6: Visualize and Explore Data 7. Chapter 7: Alerting and Anomaly Detection 8. Chapter 8: Advanced Data Analysis and Processing 9. Chapter 9: Vector Search and Generative AI Integration 10. Chapter 10: Elastic Observability Solution 11. Chapter 11: Managing Access Control 12. Chapter 12: Elastic Stack Operation 13. Chapter 13: Elastic Stack Monitoring 14. Index 15. Other Books You May Enjoy

Investigating data with log pattern analysis

In this recipe, we will focus on another AIOps feature of Elastic, called log pattern analysis, which is a powerful tool that helps you to find patterns in unstructured log messages and makes it easier to examine your data.

Getting ready

To follow along with this recipe, you’ll need an up-and-running Elastic deployment with Elasticsearch, Kibana, and an ML node. To spin up a cluster on Elastic Cloud refer to the Installing the Elastic Stack on Elastic Cloud recipe in Chapter 1.

We’ll keep using our Rennes traffic dataset, so make sure to have some data in your cluster. If you don’t, follow the Exploring your data in Discover recipe in Chapter 6.

We will try to identify patterns in street names (denominations) associated with specific traffic conditions, such as heavy or congested.

How to do it...

  1. Head to Kibana | Analytics|Machine Learning | AIOps Labs and click on Log Pattern Analysis.
  2. Select...
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