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 3: Indexing and Searching for Data

Having successfully installed Elasticsearch (and other core components) on our operating system or platform of choice, this chapter will focus on diving deeper into Elasticsearch. As discussed in Chapter 2, Installing and Running the Elastic Stack, Elasticsearch is a distributed search engine and document store. With the ability to ingest and scale terabytes of data a day, Elasticsearch can be used to search, aggregate, and analyze any type of data source. It is incredibly easy to get up and running with a single-node Elasticsearch deployment.

This chapter will explore some of the advanced functionality that you will need to understand to design and scale for more complex requirements around ingesting, searching, and managing large volumes of data. Upon completing this chapter, you will understand how indices work, how data can be mapped to an appropriate data type, and how data can be queried on Elasticsearch.

Specifically, we will...