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


In this chapter, we looked at some foundational concepts when it comes to building an observability capability for your environment using the Elastic Stack. We started by looking at how logs, metrics, traces, and synthetic/user experience monitoring work together in helping engineers quickly detect, understand, and remediate potential issues in your environment.

Next, we looked at how the different layers and technologies in your environment should be set up for observability. We explored some of the key data points to consider during collection for analysis and understood how Elastic Agent integrations can be leveraged in quickly onboarding these data sources.

Finally, we looked at setting up code instrumentation and APM for your custom application to gain an in-depth understanding of your code, its performance characteristics, and failure scenarios. We also looked at configuring real user monitoring and synthetic monitoring functionality to give you an end-to-end view...