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Elastic Stack 8.x Cookbook

Elastic Stack 8.x Cookbook

By : Huage Chen, Yazid Akadiri
5 (3)
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Elastic Stack 8.x Cookbook

Elastic Stack 8.x Cookbook

5 (3)
By: Huage Chen, Yazid Akadiri

Overview of this book

Learn how to make the most of the Elastic Stack (ELK Stack) products—including Elasticsearch, Kibana, Elastic Agent, and Logstash—to take data reliably and securely from any source, in any format, and then search, analyze, and visualize it in real-time. This cookbook takes a practical approach to unlocking the full potential of Elastic Stack through detailed recipes step by step. Starting with installing and ingesting data using Elastic Agent and Beats, this book guides you through data transformation and enrichment with various Elastic components and explores the latest advancements in search applications, including semantic search and Generative AI. You'll then visualize and explore your data and create dashboards using Kibana. As you progress, you'll advance your skills with machine learning for data science, get to grips with natural language processing, and discover the power of vector search. The book covers Elastic Observability use cases for log, infrastructure, and synthetics monitoring, along with essential strategies for securing the Elastic Stack. Finally, you'll gain expertise in Elastic Stack operations to effectively monitor and manage your system.
Table of Contents (16 chapters)
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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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