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)
1
Section 1: Core Components
4
Section 2: Working with the Elastic Stack
12
Section 3: Building Solutions with the Elastic Stack

Technical requirements

This chapter explores various aspects of building search functionality for your data. The examples require access to an Elasticsearch cluster running on your local machine to follow along.

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

https://github.com/PacktPublishing/Getting-Started-with-Elastic-Stack-8.0/tree/main/Chapter10

The chapter uses a collection of recipes scraped from the internet to illustrate the search functionality we are implementing. Navigate to Chapter10/dataset in the code repository for this book and follow the instructions to load the dataset as shown:

  1. The following file is provided in the folder:

recipe-template.json contains an Elasticsearch index template for the given dataset, detailing the schema/mappings for the fields in the dataset.

  1. Load the index template provided by running load.sh. Enter your Elasticsearch cluster URL, username, and password when prompted:
    ./load.sh...