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

Technical requirements

In this chapter, we will walk through the various aspects of monitoring and observing different parts of your technology stack and environment. 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/Chapter11

The chapter builds on top of the Recipe Search Service example configured in Chapter 10, Building Search Experiences Using the Elastic Stack.

In Chapter 10, Building Search Experiences Using the Elastic Stack, the demo application communicated directly with Elasticsearch as a backend for search functionality. In this chapter, the demo application consists of a frontend web interface and a backend API server that interacts with Elasticsearch. The first half of the chapter uses this architecture to showcase observability functionality.

Figure 11.1 – Architecture for the Recipe Search Service demo app

Consider the...