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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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Creating visualizations with Kibana Lens

Kibana Lens offers a user-friendly and intuitive approach for anyone to visualize their data within Kibana. With its seamless drag-and-drop interface, one-click data exploration, and capability to provide visualization recommendations, Lens is the fastest way to uncover valuable insights within your Elasticsearch data. In this recipe, you’ll discover the power and flexibility of data visualization with Kibana Lens, and we will also explore some useful new features that have been introduced in Elastic 8.

Getting ready

Make sure that you have completed the previous recipes of this chapter, as the same dataset on Rennes traffic will be used in this recipe.

How to do it...

Let’s get started with visualizing your data using Kibana Lens.

By the end of this recipe, you will have created the following visualizations:

  • Number of unique locations (metric chart)
  • Overall average speed gauge (gauge visualization)
  • ...
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