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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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Adding data using Beats

In the previous recipes in this chapter, we learned how to ingest timestamped data using Elastic Agent and its integrations. Sometimes, you may not find an available Elastic Agent integration for your data source, but there might be a Beats module that supports it. In such cases, using Beats becomes the natural alternative. Beats is a suite of lightweight data shippers that can efficiently gather and transport data to Elasticsearch for analysis and visualization. In this recipe, we will learn how to configure and use Beats to collect data from a data source and send it to Elasticsearch.

By following the steps in the upcoming How to do it… section, you will learn how to set up Metricbeat to monitor Apache Tomcat metrics and stream this data to Elasticsearch. Metricbeat, one of the many Beats shippers supported by Elasticsearch, collects metrics from your systems and services and sends them to Elasticsearch or Logstash for indexing. We have chosen Apache...

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