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 went through the details of a full-text search and how it works in Elasticsearch. We started by exploring full-text search concepts and how they enable some of the search experiences you may want to build. We also looked at how Elasticsearch APIs can be used to run different types of queries to retrieve relevant results.

Next, we explored some common features that are part of good search experiences. We looked at implementing features such as autocompletion, search query suggestions, filtering/faceted searches, pagination, and the ordering of search results. The chapter concluded by putting all the concepts together in the form of a demo application. The Recipe Search Service application implements the features discussed to demonstrate the full-text search functionality in action.

In the next chapter, we move on to understanding how the Elastic Stack can be used to observe applications and infrastructure to detect and respond to issues in your environment...