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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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Building Search Applications

Now that you are familiar with getting your data into Elasticsearch, using the flexible tools provided by Elastic Stack components, we will dive into how you can build a great search experience with that data.

Traditionally, users create Search Applications based on Elasticsearch indices to leverage the full power, flexibility, and ecosystem of Elasticsearch and its Query DSL (a powerful and flexible JSON-style domain-specific language with which you can define and execute queries in Elasticsearch). In the later years, Elastic also introduced App Search and the Search Application client for users who prefer ease of use and rapid implementation over more control and flexibility. Figure 3.1 shows you different ways to ingest content and build Search Applications with Elastic:

Figure 3.1 – Ingestion and search portfolio

Figure 3.1 – Ingestion and search portfolio

This chapter focuses on Elasticsearch indices. We will begin with recipes for Query DSL and then explore...

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