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Elastic Stack 8.x Cookbook

Elastic Stack 8.x Cookbook

By : Huage Chen, Yazid Akadiri
5 (3)
close
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 rate analysis

This recipe is the first of three where we will cover the artificial intelligence for IT operations (AIOps) capabilities of the Elastic Stack. AIOps can be summed up as the application of various machine learning techniques to IT operations with the goal of ultimately enabling teams to respond more quickly and proactively to issues and outages.

Within the stack, AIOps is part of the broader ML capabilities and provides features that leverage advanced statistical methods to understand data trends and behavior.

In this recipe, we’ll focus on the log rate analysis feature and learn how we can apply it to detect the reasons behind decreases or increases in the log rates.

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...

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