Book Image

Getting Started with Elastic Stack 8.0

By : Asjad Athick
Book Image

Getting Started with Elastic Stack 8.0

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)
Section 1: Core Components
Section 2: Working with the Elastic Stack
Section 3: Building Solutions with the Elastic Stack

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...