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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 a trained model for inference

Now that you have trained some models using Elastic, we will look at how you can use them for prediction through a process called inference. It is a process of using trained ML models against incoming data in a continuous way. In the Elastic Stack, this process happens essentially through an inference processor in ingest pipelines or pipeline aggregation.

In this recipe, we’ll build upon the classification model we trained in the previous recipe, configure it into an ingest pipeline processor, and use it for prediction.

Getting ready

Make sure you have worked through the following recipes:

  • Creating a Logstash pipeline in Chapter 5
  • Creating visualizations from runtime fields in Chapter 6
  • Building a model to perform regression analysis in this chapter

The snippets for this recipe can be found at https://github.com/PacktPublishing/Elastic-Stack-8.x-Cookbook/blob/main/Chapter8/snippets.md#using-trained-model-for...

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