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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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Using search templates to pre-render search requests

Search templates are a way to define templates for search queries. These templates act as placeholders for variables defined inside the search queries. You can store search templates as Mustache scripts in the cluster state or provide them inline in the request body.

In this recipe, we will show you how to create and use search templates in Elasticsearch and explain how they work behind the scenes. We will also explore some of the benefits and use cases of search templates.

Getting ready

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

Also, you’ll need the sample movie dataset we’ve previously used in the Indexing multiple documents using Bulk API recipe in Chapter 2.

The code used in this recipe is available...

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