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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 a Logstash pipeline

Creating a Logstash pipeline involves defining a series of configurations that specify how data should be collected, parsed, filtered, and where it should be sent for further analysis or storage. This process enables you to harmonize data from various sources, making it ready for visualization, search, and analysis through Elasticsearch and Kibana, as well as third-party destinations.

In this recipe, we will walk you through the steps to create a Logstash pipeline, from configuring input sources to defining filters, specifying output destinations, and running the pipeline. Our example is based on Rennes Traffic Data, which we introduced in Chapter 4.

Getting ready

You will need to have completed the previous Installing self-managed Logstash recipe and the Setting up time series data stream (TSDS) manually recipe in Chapter 4 as we are going to reuse the objects that we created in this recipe such as the index life cycle policy, mapping, setting...

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