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


In this chapter, we explored the use of Elastic Agent as a unified collection mechanism for logs, metrics, and other data sources from your environment. We also looked at the role of Fleet Server in managing Elastic Agent across your environment.

We started by exploring some of the challenges in onboarding data in complex environments and the need for continuous data onboarding processes; we then looked at how Elastic Agent and Fleet solve some of these needs. Next, we configured instances of Fleet Server and Elastic Agent and went through practical scenarios of onboarding data from the host operating system, as well as an Nginx web server instance.

This chapter marks the end of Part 2 of this book. Now that we've explored each core component in detail, Part 3 will focus on building solutions and end-to-end use cases on top of the stack. In the next chapter, we will dive into building powerful and feature-rich search experiences using Elastic Stack.