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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 an ingest pipeline

In this recipe, we’ll dive into one of the lesser-known yet incredibly powerful features of Elasticsearch: ingest pipelines. These pipelines enable seamless transformation, enrichment, and manipulation of data as it enters Elasticsearch. Whether you’re managing log files, sensor data, or any other structured or unstructured data, ingest pipelines can significantly ease the workload for data engineers and analysts.

What sets Elasticsearch ingest pipelines apart is their simplicity combined with effectiveness. You’ll discover how easy it is to create a pipeline tailored to your specific needs. Additionally, we’ll demonstrate how to simulate the pipeline to test and validate your data processing logic against sample documents, ensuring data is handled exactly as intended.

Getting ready

You’ll need an up-and-running Elastic deployment with Elasticsearch, Kibana, and Fleet Server. To spin up a cluster on Elastic Cloud...

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