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

Configuration of your lab environment

For the rest of the book, the default lab environment should consist of at least the following:

  • A single-node Elasticsearch cluster with at least a 500 MB heap
  • A single instance of Kibana connected to the Elasticsearch cluster
  • A single instance of Logstash
  • The ability to install and run Beats as required

For convenience, you may choose to run all of the above on your local machine. Archives of each component can be downloaded and run whenever needed. Exercises in the book will assume you have Elasticsearch and Kibana up and running. Instructions to start Logstash/Beats instances will be included.

Some of you may also choose to use a cloud-based managed deployment of Elasticsearch and Kibana. Elastic Cloud provides a free trial for those interested in this option.