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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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Exploring your data with ES|QL

In this recipe, we will explore ES|QL, a relatively new and highly effective query language in Elasticsearch. ES|QL is crafted to encompass all the functionalities of existing languages within Elasticsearch through a unified, piped command syntax and data model. It supports many commands and functions, allowing users to execute a variety of data operations, including filtering, aggregation, and time series analysis, among others. This makes ES|QL a versatile tool for managing and analyzing data within the Elastic Stack.

You’ll get a glimpse of the vast possibilities in terms of data exploration and analysis offered by ES|QL. Specifically, we’re going to cover the following aspects:

  • Chaining processing commands
  • ES|QL aggregations
  • Lookups

Getting ready

To follow along with this recipe, you’ll need an up-and-running Elastic deployment with Elasticsearch and Kibana. Additionally, you should have completed...

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