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Getting Started with Elastic Stack 8.0

You're reading from   Getting Started with Elastic Stack 8.0 Run powerful and scalable data platforms to search, observe, and secure your organization

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Product type Paperback
Published in Mar 2022
Publisher Packt
ISBN-13 9781800569492
Length 474 pages
Edition 1st Edition
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Author (1):
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Asjad Athick Asjad Athick
Author Profile Icon Asjad Athick
Asjad Athick
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Core Components
2. Chapter 1: Introduction to the Elastic Stack FREE CHAPTER 3. Chapter 2: Installing and Running the Elastic Stack 4. Section 2: Working with the Elastic Stack
5. Chapter 3: Indexing and Searching for Data 6. Chapter 4: Leveraging Insights and Managing Data on Elasticsearch 7. Chapter 5: Running Machine Learning Jobs on Elasticsearch 8. Chapter 6: Collecting and Shipping Data with Beats 9. Chapter 7: Using Logstash to Extract, Transform, and Load Data 10. Chapter 8: Interacting with Your Data on Kibana 11. Chapter 9: Managing Data Onboarding with Elastic Agent 12. Section 3: Building Solutions with the Elastic Stack
13. Chapter 10: Building Search Experiences Using the Elastic Stack 14. Chapter 11: Observing Applications and Infrastructure Using the Elastic Stack 15. Chapter 12: Security Threat Detection and Response Using the Elastic Stack 16. Chapter 13: Architecting Workloads on the Elastic Stack 17. Other Books You May Enjoy

Chapter 6: Collecting and Shipping Data with Beats

Previous chapters looked at how Elasticsearch can be used to search and analyze data to solve various use cases. Given that data can be generated anywhere in your environment, and on a large range of source systems, a key challenge to solve is collecting and shipping this data to your data platform.

In this chapter, we'll look at how Beats agents can be used to collect and transport events from a number of source systems to Elasticsearch. The agent you use will depend on the nature of the event (whether it's a log or metric) and how it can be extracted (using a REST API, tailing a file, or instrumenting an application). The chapter also demonstrates how Beats modules help keep the schema and format of your data consistent for downstream use cases (such as searching, alerting, and machine learning analysis).

In this chapter, we will specifically focus on the following:

  • How a Beats agent works and the different...
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