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Getting Started with Elastic Stack 8.0

Getting Started with Elastic Stack 8.0

By : Asjad Athick
4.3 (9)
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Getting Started with Elastic Stack 8.0

Getting Started with Elastic Stack 8.0

4.3 (9)
By: Asjad Athick

Overview of this book

The Elastic Stack helps you work with massive volumes of data to power use cases in the search, observability, and security solution areas. This three-part book starts with an introduction to the Elastic Stack with high-level commentary on the solutions the stack can be leveraged for. The second section focuses on each core component, giving you a detailed understanding of the component and the role it plays. You’ll start by working with Elasticsearch to ingest, search, analyze, and store data for your use cases. Next, you’ll look at Logstash, Beats, and Elastic Agent as components that can collect, transform, and load data. Later chapters help you use Kibana as an interface to consume Elastic solutions and interact with data on Elasticsearch. The last section explores the three main use cases offered on top of the Elastic Stack. You’ll start with a full-text search and look at real-world outcomes powered by search capabilities. Furthermore, you’ll learn how the stack can be used to monitor and observe large and complex IT environments. Finally, you’ll understand how to detect, prevent, and respond to security threats across your environment. The book ends by highlighting architecture best practices for successful Elastic Stack deployments. By the end of this book, you’ll be able to implement the Elastic Stack and derive value from it.
Table of Contents (18 chapters)
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1
Section 1: Core Components
4
Section 2: Working with the Elastic Stack
12
Section 3: Building Solutions with the Elastic Stack

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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