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

Getting up and running on Kibana

Collecting and ingesting data into your Elasticsearch cluster is only half the challenge when it comes to extracting insights and building useful outcomes from your datasets. Having access to fully featured and well-documented REST APIs on the Elasticsearch level is super useful, especially when your applications and systems programmatically consume responses from queries and aggregations, among other things. However, end users would much rather use an intuitive visual interface to build visualizations to understand trends in business data, diagnose bugs in their applications, and hunt for threats in their environment.

Kibana is the primary user interface when it comes to interacting with Elasticsearch clusters and, to some extent, components such as Logstash and Beats.

Given Kibana is primarily used to interact with data on Elasticsearch, an Elasticsearch cluster must be available for Kibana to run. The backing Elasticsearch cluster is used to...