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

Implementing features to improve the search experience

Building powerful search experiences means making it easy and seamless for users to quickly find information relevant to them. The following features build on top of the standard textbox-powered search applications to improve this experience.

This section demonstrates the search features in action with reference to the Recipe Search Service demo application.

Autocompleting search queries

Autocomplete functionality assists the user by providing suggestions on what they might be looking for. For example, a user who starts to type the word chicken can be shown a list of options with the prefix chicken to help them quickly narrow down on the content they're looking for.

Figure 10.4 – Autocompletion suggestions for recipes with the prefix "chicken"

Elasticsearch provides out-of-the-box capability for autocompletion using the completion field type.

The following index mapping...