You're reading from Getting Started with Elastic Stack 8.0 Run powerful and scalable data platforms to search, observe, and secure your organization

Product type Paperback

Published in Mar 2022

Publisher Packt

ISBN-13 9781800569492

Length 474 pages

Edition 1st Edition

Tools

Elasticsearch

Concepts

Enterprise Search

Author (1):

Asjad Athick

View More author details

Table of Contents (18) Chapters

Preface

1. Section 1: Core Components

2. Chapter 1: Introduction to the Elastic Stack FREE CHAPTER

3. Chapter 2: Installing and Running the Elastic Stack

4. Section 2: Working with the Elastic Stack

5. Chapter 3: Indexing and Searching for Data

6. Chapter 4: Leveraging Insights and Managing Data on Elasticsearch

7. Chapter 5: Running Machine Learning Jobs on Elasticsearch

8. Chapter 6: Collecting and Shipping Data with Beats

9. Chapter 7: Using Logstash to Extract, Transform, and Load Data

10. Chapter 8: Interacting with Your Data on Kibana

11. Chapter 9: Managing Data Onboarding with Elastic Agent

12. Section 3: Building Solutions with the Elastic Stack

13. Chapter 10: Building Search Experiences Using the Elastic Stack

14. Chapter 11: Observing Applications and Infrastructure Using the Elastic Stack

15. Chapter 12: Security Threat Detection and Response Using the Elastic Stack

16. Chapter 13: Architecting Workloads on the Elastic Stack

17. Other Books You May Enjoy

Technical requirements

This chapter walks you through the various features of Kibana when it comes to building and consuming use cases from your data. You will need access to an instance of Kibana connected to an Elasticsearch deployment to follow along. If you don't already have a deployment configured, follow the instructions provided in Chapter 2, Installing and Running the Elastic Stack.

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

https://github.com/PacktPublishing/Getting-Started-with-Elastic-Stack-8.0/tree/main/Chapter8

Navigate to Chapter8/trips-dataset in the code repository for this book and follow the instructions to load a dataset containing flight travel logs for a single passenger over a period of time:

The following files are provided in the folder:
1. flights-template.json contains an Elasticsearch index template for the given dataset, detailing the schema/mappings for the fields in the dataset.
2. load.sh is a helper script...