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

Technical requirements

The code examples for this chapter can be found in the GitHub repository for this book:

Start an instance of Elasticsearch and Kibana on your local machine to follow along with the examples in this chapter. Alternatively, you can use your preferred mode of running the components from Chapter 2, Installing and Running the Elastic Stack.

Use Dev Tools on Kibana to make interacting with Elasticsearch REST APIs more convenient. Dev Tools takes care of authentication, content headers, hostnames, and more so that you can focus on crafting and running your API calls. The Dev Tools app can be found under the Management section in the Kibana navigation sidebar. The same REST API calls can be performed directly against your Elasticsearch cluster using a tool such as curl or Postman if you prefer:

Figure 3.1 – Kibana Dev Tools console