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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

Collecting network traffic data using Packetbeat

We've looked at how you can observe a workload, the host, and the configuration it runs on and the availability of the workload to end users. One final aspect that we're going to look at to establish comprehensive monitoring is collecting, decoding, and analyzing host network data using Packetbeat.

Networking is a critical part of most workloads; this is especially true in the case of our Recipe Search Service web server. Network packets contain information on the following:

  • The source and type of network traffic being served.
  • Details of protocols (and versions) being used and their distribution as a whole.
  • Data about network latency, request and response sizes, and some metadata about the content of the traffic. For example, SSL traffic can indicate the TLS version in use, metadata about the certificate authorities and expiry dates, and so on.

Packet data is also quite useful in detecting security...

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