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Elastic Stack 8.x Cookbook

You're reading from   Elastic Stack 8.x Cookbook Over 80 recipes to perform ingestion, search, visualization, and monitoring for actionable insights

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781837634293
Length 688 pages
Edition 1st Edition
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Authors (2):
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Yazid Akadiri Yazid Akadiri
Author Profile Icon Yazid Akadiri
Yazid Akadiri
Huage Chen Huage Chen
Author Profile Icon Huage Chen
Huage Chen
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Toc

Table of Contents (16) Chapters Close

Preface 1. Chapter 1: Getting Started – Installing the Elastic Stack 2. Chapter 2: Ingesting General Content Data FREE CHAPTER 3. Chapter 3: Building Search Applications 4. Chapter 4: Timestamped Data Ingestion 5. Chapter 5: Transform Data 6. Chapter 6: Visualize and Explore Data 7. Chapter 7: Alerting and Anomaly Detection 8. Chapter 8: Advanced Data Analysis and Processing 9. Chapter 9: Vector Search and Generative AI Integration 10. Chapter 10: Elastic Observability Solution 11. Chapter 11: Managing Access Control 12. Chapter 12: Elastic Stack Operation 13. Chapter 13: Elastic Stack Monitoring 14. Index 15. Other Books You May Enjoy

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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