Book Image

Getting Started with Elastic Stack 8.0

By : Asjad Athick
5 (1)
Book Image

Getting Started with Elastic Stack 8.0

5 (1)
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

Chapter 8: Interacting with Your Data on Kibana

As we've explored in the previous chapters, Elasticsearch is a powerful and versatile tool to store, query, and aggregate data. The only way to interact with Elasticsearch is by using its feature-rich set of REST APIs. This includes anything from creating and managing indices and ingesting documents to running queries or aggregating large datasets. We've also looked at how tools such as Beats and Logstash are great at collecting data from various sources and loading it into Elasticsearch clusters for end user consumption. This is where Kibana plays a vital role in the Elastic Stack.

This chapter explores the role that Kibana plays in the Elastic Stack in allowing users to visualize, interact with, and build use cases on top of data in Elasticsearch. Kibana is also the primary way in which users can consume out-of-the-box solutions, such as Enterprise Search, Security, and Observability, as well as manage and configure the...